Wipro and Google Cloud Expand Partnership to Scale AI into Core Enterprise Operations

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO), a leading AI-powered technology services and consulting company, today announced the expansion of its partnership with Google Cloud to accelerate the enterprise-wide adoption of Gemini Enterprise and agentic AI. Additionally, Wipro is scaling the internal deployment of Gemini Enterprise and will empower over 10,000 AI-certified specialists, including 1,500 Forward Deployed Engineers (FDEs), with advanced AI capabilities to enhance productivity, streamline operations, and accelerate decision-making.

As part of this partnership, Wipro has launched the LIFT (Launch-Ignite-Flywheel-Transform) framework to help enterprises accelerate AI transformation and operationalize agentic AI at scale. Powered by Wipro Intelligence™, the unified suite of AI platforms, solutions, and transformative offerings, the LIFT framework integrates Gemini Enterprise with Wipro’s AI-powered delivery platforms, WINGS and WEGA. This unified ecosystem enables organizations to seamlessly transition from basic task-automation to embedding secure, autonomous AI agents directly into their core, multi-step business workflows.

“AI is foundational to how Wipro is shaping its future, driving innovation, transforming operations, and delivering differentiated value for our clients,” said Kanwar Singh, Managing Partner and Global Head of Technology Services, Wipro Limited. “By strengthening Wipro Intelligence™ with Gemini Enterprise, we are embedding intelligence into everyday core operations, helping clients scale outcomes, adapt faster, and compete more effectively in a dynamic environment.”

To accelerate value creation, Wipro is building a dedicated team of more than 1,500 certified FDEs, combining Google Cloud’s expertise with Wipro’s consulting and engineering capabilities to seamlessly scale AI adoption from pilot to enterprise-wide deployment.

“Our partnership with Wipro continues to drive real-world value for enterprise customers looking to scale AI across their organizations. The strong demand for Gemini Enterprise indicates the value it is adding for customers today,” said Kevin Ichhpurani, President, Global Partner Ecosystem, Google Cloud. “By embedding Gemini Enterprise into their own operations and their customer-facing platforms, Wipro is demonstrating how AI transformation drives tangible efficiency. Together, we are helping joint customers bridge the gap between AI potential and business performance using Google Cloud’s agentic AI capabilities.”

Drawing on its AI transformation experience through the ‘Operate Better with AI’ strategy and ‘Client Zero’ approach, Wipro has deployed Gemini Enterprise as its central agentic orchestration platform. Gemini’s advanced reasoning and long-context capabilities have enabled Wipro to build autonomous AI agents that streamline critical workflows across compliance, HR, and sales intelligence, transforming AI from basic task automation into an enterprise-wide decision intelligence layer.

Furthermore, Wipro has integrated Antigravity Command Line Interface into its software engineering ecosystem, enabling agentic workflows that assist developers with planning, coding, testing, and application modernization. This transition has delivered highly quantifiable outcomes for development lifecycles, including productivity improvements for custom application development and significant reductions in post-production defects.

EXL Completes Acquisition of iMerit Accelerating Enterprise AI Leadership

• iMerit founder and CEO Radha Ramaswami Basu joins EXL executive committee

ExlService Holdings, Inc. (NASDAQ: EXLS), a global data and AI company, announced it has completed the acquisition of iMerit, a recognized leader in AI model training, evaluation and reinforcement learning. Together, EXL’s enterprise data and AI leadership and iMerit’s capabilities and foundation model relationships will help clients build AI systems that are trusted, accountable and built to perform in the enterprise.
The completion of the acquisition establishes an end-to-end AI platform for enterprises, uniting EXL’s deep data, context and AI expertise with iMerit's technology, expert-led solutions and generative AI experience helping them accelerate the transition from pilot to production-scale AI.

As part of the transaction, iMerit founder and CEO Radha Ramaswami Basu joins EXL as Executive Vice President, Head of iMerit, and becomes a member of the company’s executive committee.

“This acquisition is a transformational pivot for EXL, deepening our vertically specialized AI capabilities and expanding our reach into high-growth AI technology sectors,” said Rohit Kapoor, chairman and chief executive officer of EXL. “By combining iMerit’s capabilities with EXL’s domain expertise and AI platforms, we are well positioned to help clients build, fine-tune and operationalize AI that performs reliably in production. This is especially critical in regulated industries where domain knowledge, context and compliance are non-negotiable. I am delighted to welcome Radha to EXL's executive committee; her vision, leadership, and deep expertise at the intersection of human intelligence and AI will help shape the next chapter of EXL's growth and innovation.”

“The next generation of enterprise AI will be defined not by the models organizations choose, but by how effectively they can deploy them in real-world business environments,” said Basu. “What excites me most about joining EXL is the opportunity to combine iMerit’s pioneering work in AI data, evaluation and human intelligence with EXL’s extraordinary depth in data, AI and enterprise transformation. Together, we can help clients bridge the gap between innovation and execution, turning AI potential into measurable business results. I am energized by what lies ahead and honored to join EXL’s executive committee as we help clients unlock the full value in enterprise AI integration.”

With iMerit now part of EXL, the combination extends the data and AI-led strategy EXL has been executing on for several years.

About EXL

EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and capital markets, retail, communications and media, and energy and infrastructure, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have approximately 68,000 employees spanning six continents. For more information, visit www.exlservice.com.

About iMerit

iMerit is a leader in AI fine tuning, evaluation, and reinforcement learning. iMerit helps frontier AI labs and enterprises build more accurate, reliable, and domain-aware models. iMerit delivers high-quality data across industries such as high-tech, autonomous mobility, healthcare AI, and robotics. Scholars, its global network of specialists, includes physicians, scientists, engineers, linguists, and other subject matter experts who power high-quality data creation, reasoning evaluation, model alignment, and human feedback workflows for next-generation AI systems. Its proprietary Ango Hub platform allows customers and experts to collaborate on complex multimodal data to generate highly curated and validated training artifacts for high-stakes models. Learn more at imerit.ai.

LTM Partners with Glean to Accelerate Enterprise AI Adoption

• LTM and Glean will help enterprises build the trusted context foundation AI needs to deliver accurate, governed, and outcome-driven results across the business

LTM, the Business Creativity partner to the world's largest enterprises, today announced a strategic partnership with Glean, the enterprise AI platform that connects and understands enterprise knowledge across the applications, systems, and workflows employees use every day to help organizations unlock greater value from their AI investments. Through the partnership, LTM will combine its deep domain and technology expertise and its BlueVerseTM agentic AI ecosystem with Glean’s enterprise context and intelligence layer to help organizations drive productivity, accelerate decision-making, and scale AI adoption across the enterprise.

The partnership will focus on enabling large enterprises to address one of the biggest barriers to AI success: fragmented knowledge spread across multiple business applications, data sources, and workflows. By leveraging Glean’s AI platform and its enterprise knowledge graph, AI-powered search, assistants, agents, and integrations across multiple enterprise data sources, organizations can provide employees with secure, permission-aware access to the trusted enterprise context they need to find information, take action, and make better decisions across their digital ecosystem.

As enterprises advance from AI experimentation to large-scale adoption, LTM and Glean will help customers operationalize AI across key business functions, including IT support, enterprise knowledge management, and enterprise application operations. The collaboration will particularly benefit organizations operating in complex, highly regulated environments such as banking, financial services, insurance, manufacturing, and large global enterprises with diverse technology landscapes. Through this collaboration, Glean’s enterprise knowledge and context layer will work alongside LTM’s BlueVerse agentic AI ecosystem, giving customers a governed path from enterprise search and assistants to autonomous, outcome-driven agents.

“AI will deliver its greatest impact when it can access the full context of an enterprise and seamlessly connect people, knowledge, and workflows,” said Venu Lambu, Chief Executive Officer and Managing Director, LTM. “Our partnership with Glean strengthens LTM’s AI-led transformation portfolio and complements our BlueVerse AI ecosystem by helping organizations unlock intelligence across their enterprise systems while maintaining governance, security, and compliance.”

Glean enables organizations to unify knowledge spread across collaboration platforms, business applications, IT systems, ERP environments, customer platforms, and cloud ecosystems. The platform complements existing AI investments, including Microsoft Copilot and other AI ecosystems, by serving as an open and interoperable context and intelligence layer that connects information across both Microsoft and non-Microsoft environments while preserving the permissions, governance, and security controls enterprises require.

“Large enterprises want AI that can do more than answer questions — they need AI that understands their business, respects their governance requirements, and helps employees take action across the systems they use every day,” said Amar Maletira, President and COO, Glean. “By pairing Glean’s trusted enterprise context layer with LTM’s industry expertise, global delivery capabilities, and BlueVerse™ agentic AI ecosystem, we can help customers move from fragmented knowledge and disconnected tools to measurable outcomes across the business.”

The joint offering is designed to help customers realize measurable business outcomes such as faster incident resolution, improved employee productivity, reduced support costs, accelerated onboarding, enhanced enterprise search, and more efficient application support operations.

About LTM

LTM- a Larsen & Toubro Group Company — is an AI-centric global technology services company and the Business Creativity partner to the world’s largest enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM owns outcomes for our clients, helping them not just outperform the market, but Outcreate it. Read more at LTM.com.

LTM Partners with Anthropic to Accelerate Claude Adoption and Expand Enterprise Delivery

• Claude and Claude Code embedded into LTM BlueVerse™ AI Delivery Fabric to power AI-led transformations

LTM, the Business Creativity partner to the world's largest enterprises, today announced a partnership with Anthropic, the frontier AI company behind Claude, to accelerate enterprise-scale adoption of Claude, Claude Code and Claude Cowork across engineering, modernization, and business workflows.

LTM will combine Claude, Claude Code and Claude Cowork with its enterprise implementation expertise to help clients move from pilots to production with market-leading productivity, throughput, quality underscored by assurance and transparency. LTM will specifically bring this expertise and capability to BFSI, Hi-Tech, Consumer and Production Industry domains.

The three strategic focus areas of partnership include:

1. LTM BlueVerse™: AI Delivery Fabric: LTM BlueVerse AI Delivery Fabric will serve as the enterprise implementation layer for Claude adoption, integrating Claude and Claude Code into delivery workflows across AI-led software engineering, application modernization, agent orchestration, Site Reliability Engineering (SRE), Observability, and Chaos Engineering
2. LTM AI1000: Talent Enablement program: LTM will also scale its AI1000 initiative to train and deploy thousands of Claude-certified architects and Forward Deployed Engineers (FDEs) who can work with clients from assessment and architecture through assessment, implementation, and continuous improvement.
3. Claude Center of Excellence (CoE): LTM will establish a dedicated Center of Excellence (CoE) for Claude as the partnership's scale engine – to build reusable Skills, agentic MVPs, reference architectures, and playbooks spanning cloud-native and platform-based applications. The CoE will provide governance backbone across responsible use, agent lifecycle, model governance, and data-privacy/residency compliance. It will also keep delivery aligned with Claude's evolving capabilities.

"LTM brings delivery expertise, trained people, and long-standing client relationships across industries, and their customers want to embed Claude into the systems they rely on. LTM is embedding Claude and Claude Code in BlueVerse, bringing trusted frontier AI technology to the center of how they do what they do best - help their clients build, modernize, and run their software," said Chris Ciauri, Managing Director of International, Anthropic.

“LTM helps clients accelerate AI adoption and translate AI investments into measurable business outcomes through our partnership with Anthropic. Combining Claude with LTM’s BlueVerse ecosystem, deep domain expertise, technology capabilities, and AI1000 talent initiative creates a powerful foundation for enterprises to embed AI across their business and modernize at scale,” said Venu Lambu, CEO and Managing Director, LTM.

The partnership will include joint go-to-market initiatives focussed on measurable business outcomes. LTM will also scale internal adoption by embedding Claude, Claude Code, and Claude Cowork into its delivery model to establish consistent adoption patterns and market-leading productivity benchmarks across the SDLC, with autonomous learning feedback into the Claude CoE and BlueVerse ecosystem.

About LTM

LTM — a Larsen & Toubro Group Company — is an AI-centric global technology services company and the Business Creativity partner to the world’s largest enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM owns outcomes for our clients, helping them not just outperform the market, but Outcreate it. Read more at LTM.com.

US Tech Firm Saicon Acquires Nagpur-based Pragmatyc to Expand Enterprise AI and IoT

Saicon Consultants, Inc., a US-based technology services company, has acquired Pragmatyc Group Private Limited, a Nagpur-based company specialising in Artificial Intelligence (AI),AIoT, intelligent automation, and digital engineering solutions.

The acquisition strengthens Saicon’s capabilities in AI and IoT, enabling the company to help enterprises connect physical operations, enterprise data, and AI-driven intelligence to improve operational efficiency, decision-making, and business performance.

Founded in 1998, Saicon provides technology, engineering and consulting solutions to enterprises across the United States and global markets. The company has more than 1,600 employees and serves over 80 customers through its operations and delivery centres in the United States and India.

Pragmatyc brings deep expertise in Enterprise AI, AIoT, intelligent automation, computer vision, predictive analytics, and data engineering, helping organizations build connected, intelligent, and data-driven operations. Its capabilities complement Saicon's existing technology services while strengthening the Group's AI engineering practice and global delivery capabilities.

The acquisition follows Saicon’s recent acquisitions of SilverSearch in the United States and Valethi Technologies, also based in Nagpur. Together, these investments reflect Saicon’s strategy to strengthen its US market presence, expand its global delivery capabilities and build deeper expertise in high-growth technology areas.

Speaking on the occasion, Mr. Ramesh Lokre, Founder &CEO, Saicon Consultants, Inc., said: “The acquisition of Pragmatyc strengthens Saicon’s capabilities in two areas that are becoming increasingly important to our clients – Enterprise AI and AIoT. By combining Pragmatyc’s expertise with Saicon’s global client relationships and delivery scale, we will be better positioned to help enterprises build intelligent, connected and more efficient operations.”

Commenting on the development, Mr. Praful Lichade, Founder & CEO, Pragmatyc Global Private Limited said:" Joining the Saicon Group is an exciting milestone in Pragmatyc’s journey. This partnership gives us the opportunity to combine our AI engineering expertise with Saicon's global reach, enabling us to deliver innovative Enterprise AI solutions to customers worldwide while creating exciting growth opportunities for our team.”

About Saicon Consultants, Inc

Founded in 1998, Saicon Consultants, Inc. is a US-based technology services company helping enterprises modernise, scale and transform. Saicon serves more than 80 customers and has over 1,600 employees across its US operations and global delivery centres.

About Pragmatyc Global Private Limited

Pragmatyc is a company specializing in Enterprise AI, AIoT, Data Engineering, Intelligent Automation, and Digital Engineering. The company helps organizations leverage Artificial Intelligence to improve operational efficiency, accelerate innovation, and solve complex business challenges.

NTT Data and Cursor Partner to Accelerate Enterprise-grade Modernization and AI Governance

• NTT DATA leveraging Cursor to strengthen its own engineering and delivery model.
• Enterprise-grade governance helps modernize and transform delivery with greater trust and control.

NTT DATA, a global leader in AI, digital business and technology services, today announced a strategic partnership with Cursor, the leading multi-model AI coding platform. Under this initiative, NTT DATA will use Cursor’s advanced AI agents to power the innovation of its global software engineering and delivery models. Cursor will enable NTT DATA to design, build and modernize enterprise systems with greater speed and control, while supporting the governance enterprises require. 

The collaboration marks a strategic advancement in NTT DATA’s transformation into an AI-native services company, enhancing how the company designs, builds and modernizes mission-critical systems. NTT DATA is operationalizing AI inside its engineering and delivery engine with enterprise-grade controls to enable faster modernization of clients’ legacy estates, accelerate cloud and AI transformation initiatives, and drive greater consistency across delivery environments.

Including AI agents directly in the engineering layer helps ensure that application modernization and development efforts remain aligned with enterprise-wide AI strategies. These capabilities enhance NTT DATA’s broader full-stack portfolio.

“Enterprise modernization is no longer just about moving systems to the cloud—it is about reimagining how software is built and operated in the age of AI,” said Abhijit Dubey, CEO and Chief AI Officer, NTT DATA, Inc. "Through our partnership with Cursor, we will use AI in the core of our engineering and delivery model, enabling us to modernize faster, improve consistency at scale and deliver greater value to clients. By applying these capabilities inside our own business first, we can help organizations adopt AI with greater confidence, governance and measurable impact.”

Cursor is the leading multi-model AI coding platform, embedding advanced AI agents directly into developers’ environments to write, review, refactor and modernize code with codebase-wide context across leading models. For NTT DATA, this brings AI-native acceleration into the core of its global engineering and delivery model, paired with enterprise-grade governance, including organization-wide privacy mode, Single Sign-On, centralized administration, granular agent controls, and audit-ready policy enforcement so modernization happens faster, with greater consistency, trust and control. For joint clients, NTT DATA’s use of Cursor turns into real-world results, guiding enterprises through secure scalable, and responsible AI adoption and accelerating the modernization of legacy code bases and AI transformation while keeping delivery aligned with enterprise-wide AI strategies.

“NTT DATA is putting AI at the core of how engineers modernize complex systems,” said Jordan Topoleski, Chief Operating Officer, Cursor. “By pairing Cursor agents with enterprise-grade governance and structured enablement, NTT DATA is proving how AI changes the way software gets built and delivered at global scale, and we are proud to support their teams as they bring it to enterprises worldwide.”

NTT DATA is initially deploying Cursor Enterprise to priority engineering teams and will expand deployments as adoption scales globally. The company also plans to establish a Cursor Center of Excellence to help scale these capabilities across global practices and industries. 

To learn more about NTT DATA, visit our website.

About NTT DATA

NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.

Visit us at nttdata.com.

About Cursor

Cursor is the best way to build software with AI. Helping teams solve the hardest problems, Cursor builds an ecosystem of tools to write, review, and maintain code more efficiently and intelligently. Serving the majority of the Fortune 500 and tens of thousands of engineering teams globally, Cursor is accelerating the future of software development with enterprise-grade AI-assisted coding capabilities. Learn more at https://cursor.com/

HCLTech and ServiceNow join forces to scale enterprise AI with Google Cloud

• Gemini Enterprise-based AI agent solutions integrated with ServiceNow to drive real-world adoption of agentic AI

HCLTech, a leading global technology company, has expanded its collaboration with Google Cloud and ServiceNow to deliver AI agents for enterprise adoption on the Gemini Enterprise platform. The launch coincides with HCLTech’s sponsorship of the Sydney Google Cloud Summit 2026.

Building on HCLTech’s recently launched Gemini Enterprise business unit, the latest collaboration brings together advanced ServiceNow AI capabilities, enterprise workflow orchestration and industry expertise to enable organizations to deploy and scale AI in real business environments.

HCLTech will introduce enterprise AI solutions on Gemini Enterprise that combine Gemini’s advanced AI capabilities with ServiceNow’s workflow platform - anchored in ServiceNow’s Blueprint for Agentic Business, a framework for structured, outcome-driven AI adoption. This includes a next-generation Factory Shop Floor Assistant, which delivers real-time operational intelligence to manufacturing environments, enabling faster decision-making and improved efficiency.

Initial solutions span two high-impact domains: Field Services, where Gemini Live, integrated with ServiceNow Field Service Management, delivers real-time audio and visual intelligence to field technicians for faster issues resolution; and Customer Experience, to ensure customer intent is preserved across channels. HCLTech is also leveraging ServiceNow's AI Control Tower to enhance visibility and governance of AI agents within Gemini Enterprise, while an ITOps ServiceNow Agent—available on Google Cloud Marketplace for Gemini Enterprise—supports incident management and remediation in enterprise IT environments.

“Bringing agentic AI to the enterprise requires deep integration into the systems that businesses rely on every day,” said Satish Thomas, Vice President of Applied AI and Platform Ecosystem at Google Cloud. “Our partnership with HCLTech and ServiceNow combines the foundational power of Gemini Enterprise with industry-leading workflow and operational expertise, giving customers the tools they need to safely scale AI and accelerate innovation across their entire organization.”

“The future of enterprise AI lies in orchestrating intelligent agents across the business as a connected system of action,” said Michael Park, Senior Vice President, Global Partnerships and Channels at ServiceNow. “By bringing together ServiceNow’s AI-native platform, HCLTech’s implementation expertise, and Google Cloud’s Gemini Enterprise capabilities, we are helping organizations build the foundation for an agentic enterprise. This collaboration enables customers to orchestrate AI agents across workflows, systems and teams, accelerating productivity, strengthening governance and delivering business outcomes at scale.”

“Enterprises are moving quickly from exploring AI to embedding it at the core of their operations, and that shift requires stronger levels of integration and orchestration,” said Vijay Guntur, Chief Technology Officer and Head of Ecosystems at HCLTech. “Our collaboration with Google Cloud and ServiceNow reflects this evolution—integrating advanced AI, enterprise workflows and ecosystem scale to help clients move beyond pilots to sustained, enterprise-wide impact. By aligning AI with operational systems and industry context, we are enabling a more practical and accountable adoption of agentic AI, and our ServiceNow Agentic Blueprint gives enterprises the structured path to get there.”

“Agentic AI will only deliver enterprise value when it is built on a resilient, secure and scalable digital foundation,” said Jagadeshwar Gattu, President, Digital Foundation Services at HCLTech. “By combining HCLTech’s deep infrastructure, cloud and operations expertise with Google Cloud’s Gemini Enterprise platform and ServiceNow’s workflow and AI capabilities, we are helping clients move from experimentation to production-ready adoption. This collaboration enables enterprises to embed intelligence into mission-critical environments with the governance, visibility and operational rigor needed to drive measurable outcomes at scale.”

This expanded collaboration underscores HCLTech’s focus on enabling enterprises to transition from experimentation to scaled deployment of agentic AI, with solutions that are designed to deliver measurable impact across industries. HCLTech will showcase this focus at the Sydney Google Cloud Summit 2026, and at the Sydney ServiceNow World Forum where enterprise leaders will explore how cloud, AI and ecosystem collaboration can accelerate business transformation.

HCLTech is a global technology company, home to more than 227,000 people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud and software, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Semiconductor, Telecom and Media, Retail and CPG, Mobility and Public Services. Consolidated revenues as of 12 months ending March 2026 totaled $14.7 billion. To learn how we can supercharge progress for you, visit hcltech.com.

EXL Acquires iMerit to Strengthen AI Training and Enterprise‑Scale Platforms

• Positions EXL to accelerate AI innovation in the enterprise with iMerit’s direct relationships with foundation model builders. 
• Deepens EXL’s vertically specialized end-to-end AI capabilities with iMerit’s model training, evaluation and reinforcement learning. 
• Expands EXL’s total addressable market across high-growth AI tech sectors, and multiplies the impact of iMerit on a broader enterprise audience

ExlService Holdings, Inc. (NASDAQ: EXLS), a global data and AI company, today announced a definitive agreement to acquire iMerit, a recognized leader in AI model training, evaluation and reinforcement learning. iMerit is focused on helping its clients train large language and multimodal models to improve accuracy, precision, and effectiveness. The acquisition, valued at up to $310 million in upfront and future consideration, is expected to close in the third quarter of 2026, subject to customary closing conditions. The move strengthens EXL’s ability to help enterprises achieve measurable outcomes from AI, builds partnerships with leading foundation model builders and expands EXL’s reach into high-growth AI tech sectors.

"As organizations reimagine their businesses with AI, success requires industry-specific data, rigorous evaluation and reinforcement learning to deliver reliable results in business-critical workflows,” said Rohit Kapoor, chairman and chief executive officer of EXL. “The acquisition of iMerit strengthens EXL’s AI strategy and ability to help clients move from experimentation to production. By combining iMerit’s capabilities with EXL’s domain expertise and AI platforms, we are setting the standard for AI that is trusted, accountable and built to perform in the enterprise.”

EXL will now be at the center of how next-gen AI is built, leveraging iMerit’s client relationships with leading foundation model companies. EXL and its clients will benefit from early insight into how models are trained, fine-tuned and improved. This also positions EXL to help enterprises build fit-for-purpose small language models tailored to their data and workflows.

iMerit enhances EXL’s platform and human intelligence capabilities through its Ango platform and Scholars network. Ango powers sophisticated data interactions with GenAI models, enabling chain-of-thought reasoning, red teaming and multimodal evaluations. Scholars expands EXL’s domain expertise through iMerit’s global network of specialists, including physicians, scientists, engineers, linguists and other subject matter experts who support human intelligence-driven feedback workflows for reinforcement learning.
EXL will integrate Ango with its agentic platforms — including EXLerate.ai, EXLdata.ai, and EXLdecision.ai — to combine expert human judgment, model evaluation and enterprise-scale execution. Together, these capabilities create an end-to-end AI platform that helps enterprises accelerate the transition from pilot to production-scale AI.

We see EXL as an ideal leader in this defining moment for AI. We can build on our work with AI innovators and bring those insights to companies seeking to unlock their proprietary data,” said Radha Ramaswami Basu, chief executive officer and founder of iMerit. “Both companies share a belief that specialized high-quality data is the foundation of AI success. We are excited to multiply our impact through EXL’s industry expertise, complementary technology and trusted enterprise relationships.

These offerings strengthen EXL’s vertically integrated AI stack and its ability to build and fine-tune domain-specific language models. This is particularly critical for regulated industries such as healthcare, insurance, banking and capital markets where EXL is already a highly trusted data and AI partner.

This acquisition also expands EXL into high-growth AI sectors, including high tech, mobility, autonomous systems and physical AI. iMerit’s expertise across text, image, video, voice and LiDAR data creates a strong foundation for AI solutions powering robotics, autonomous vehicles and intelligent real-world environments.

Transaction Details

The $310 million acquisition involves an upfront consideration of $170 million, with an additional $140 million in incentives and earnouts over two years contingent on meeting specified milestones. The transaction is expected to close in the third quarter of this year, subject to customary closing conditions, including expiration or termination of the waiting period for applicable antitrust regulations.

About EXL

EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare and life sciences, banking and capital markets, retail, communications and media and energy and infrastructure, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have over 67,000 employees spanning six continents. For more information, visit www.exlservice.com.

About iMerit

iMerit is a leader in AI fine tuning, evaluation, and reinforcement learning. iMerit helps frontier AI labs and enterprises build more accurate, reliable, and domain-aware models. iMerit delivers high-quality data across industries such as high-tech, autonomous mobility, healthcare AI, and robotics. Scholars, its global network of specialists, includes physicians, scientists, engineers, linguists, and other subject matter experts who power high-quality data creation, reasoning evaluation, model alignment, and human feedback workflows for next-generation AI systems. Its proprietary Ango Hub platform allows customers and experts to collaborate on complex multimodal data to generate highly curated and validated training artifacts for high-stakes models. iMerit is backed by Khosla Ventures, Omidyar Network, Dell Foundation and British International Investment (BII). Learn more at imerit.ai.

LTM Launches BlueVerse™ on Databricks to Accelerate AI Monetization

LTM, the Business Creativity partner to the world’s largest enterprises, today announced the launch of BlueVerse for Databricks, a new offering that brings together LTM’s AI ecosystem, BlueVerse™, with Databricks, the Data and AI company, to accelerate AI-driven data monetization.

BlueVerse for Databricks is designed to help enterprises drive tangible business outcomes from data and AI investments by addressing critical challenges in the secure and efficient management of data and compute resources, while optimizing business processes and providing pre-built industry solutions to unlock greater value from AI initiatives.

LTM BlueVerse helps companies reimagine core business processes such as procure-to-pay, order-to-cash, hire-to-retire, and marketing operations as AI-optimized workflows. It also enables organizations to accelerate time-to-value through pre-built, industry-specific solutions for Manufacturing, Banking, Financial Services, Insurance, Media & Entertainment, and Retail & Consumer Goods, or through custom implementations that leverage BlueVerse domain-specific accelerators and models. BlueVerse for Databricks leverages Lakebase, Genie, and Agent Bricks to build these capabilities on Databricks, combining LTM’s industry expertise with the performance, security, and governance of the Databricks platform to support efficient, trustworthy, and scalable AI applications.

“Enterprises are moving beyond experimentation and looking to scale AI with trust, speed, and measurable outcomes. By bringing together the BlueVerse ecosystem and the Databricks platform, we help clients industrialize agentic AI, reuse proven assets, and operationalize AI across real enterprise workflows with stronger governance and faster time to market,” said Krishnan Iyer, Chief Growth Officer, LTM.

“Databricks helps customers turn data and AI investments into production outcomes,” said Kori O’Brien, Senior Vice President, Global Partnerships, Databricks. “With BlueVerse for Databricks, LTM will help our customers move faster from platform to production by combining trusted data and AI with reusable workflows and operational controls.”

The launch of BlueVerse for Databricks marks a key milestone in the growing strategic partnership between LTM and Databricks, backed by LTM’s dedicated Databricks practice with a large pool of certified professionals focused on unlocking opportunities across the company’s expanding base of global customers. LTM brings proven scale to the partnership, reinforced by its recognition as Databricks 2026 Global COE Partner of the Year.

To learn more about BlueVerse for Databricks, click here or visit LTM booth at Databricks Data + AI Summit, San Francisco.

Wipro Advances Enterprise AI Leadership with an Applied AI CoE for Claude Models, Powered by Anthropic

Representative Image

• Leveraging Wipro Intelligence™ to deliver business outcomes with Anthropic’s Claude models through repeatable delivery methodologies and enterprise-grade execution.

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO), a leading AI-powered technology services and consulting company, today announced the launch of its Applied AI Center of Excellence (CoE) for Claude models powered by Anthropic, reinforcing its commitment to accelerating enterprise AI impact. The CoE was inaugurated at its Bengaluru innovation hub, and is a key initiative under the newly formed AI-Native Business & Platforms Unit.

The CoE strengthens Wipro’s ability to scale enterprise AI adoption using Claude models. These capabilities are integrated across the Wipro Intelligence™ stack – including delivery, functional, and industry platforms, to embed AI into core business workflows across industries.

Wipro has been building a global talent pool of Forward Deployed Engineers (FDEs) trained on Claude models, with a deep understanding of model behaviour and real-world application. These engineers operate within client environments, combining knowledge of business processes and technology landscapes with hands-on model expertise. The objective is to accelerate AI integration into workflows and deliver clear, measurable outcomes, reflecting a ‘proof over promise’ approach that underpins Wipro’s AI strategy.

The Applied AI CoE for Claude also serves as a hub to accelerate the development of AI-native platforms and industry solutions across Mortgage, Healthcare, Airlines, Manufacturing and Consumer sectors. Claude models are embedded into Wipro’s platforms to enable co-innovation with clients in live environments, while also scaling AI adoption across Wipro’s own Finance, HR, and Sales functions as part of its internal transformation.

A key differentiator in Wipro’s enterprise AI strategy is the certification of 10,000 Front-Line Delivery Experts on their use of Claude over the next 18 months. This program is designed to build a strong base of practitioners capable of designing, deploying, and operating AI-enabled systems in complex enterprise environments.

Wipro is strengthening its enterprise AI leadership with the Applied AI Center of Excellence for Claude models, powered by Anthropic, said Srini Pallia, Chief Executive Officer and Managing Director, Wipro Limited. This marks a fundamental shift in how we deliver, and advances our strategy of being consulting-led and AI-powered. By combining the power of Claude models with our deep domain and enterprise expertise, we are driving measurable business outcomes for our clients. Embedding Forward Deployed Engineers within client environments, alongside integrating AI across our own operations, enables us to accelerate enterprise-scale adoption with a clear focus on business value.

This CoE is a significant step in Wipro’s journey to operate as an AI-native enterprise, bringing together platform integration, deep model expertise, and embedded delivery to help clients adopt AI at scale and unlock its full potential.

About Wipro Limited

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading AI-powered technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our consulting-led approach and the Wipro Intelligence™ unified suite of AI-powered platforms, solutions and transformative offerings, we help clients realize their boldest ambitions to build intelligent and sustainable businesses. The Wipro Innovation Network – part of the Wipro Intelligence™ suite – underpins our commitment to client-centric co-innovation and co-creation by bringing together capabilities from the innovation labs and partner labs, academia, and global tech communities. With over 240,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

LTM Unveils BlueVerse™ iRun: AI‑Native Managed Services to Reinvent Enterprise IT Operations

• AI-native operations model enables enterprises to move from reactive service delivery to intelligent, outcome-driven managed services

LTM, the Business Creativity partner to the world’s largest enterprises, today announced the launch of BlueVerse™ for iRun, an AI-native managed services model designed to transform traditional IT operations into a resilient, intelligent, and outcome-driven operating model.

As enterprise environments grow more complex—spanning hybrid cloud, SaaS, and AI-driven ecosystems—traditional managed services models are increasingly constrained by siloed teams, static processes, and effort-led scaling.

BlueVerse for iRun addresses this shift by moving beyond headcount-based delivery to a platform-led approach powered by agentic AI, knowledge convergence, and process-as-code. Built on the BlueVerse ecosystem, iRun creates a unified intelligence layer that brings together enterprise data, telemetry, workflows, and operational context—enabling AI to reason across systems, identify root causes, and execute actions within governed guardrails.

iRun combines AI agents and human expertise to shift operations from reactive incident management to pre-emptive, self-learning, and outcome-driven service delivery. It enables improved system reliability, faster resolution cycles, and the ability to shift IT spend from maintenance (‘run’) to innovation (‘change’)—freeing capacity for transformation. iRun targets 60-70% automated resolution, 40-60% faster incident closure, and prevention of up to half of potential disruptions before they occur.

“Enterprises today expect managed services to deliver more than efficiency—they expect intelligence, adaptability, and measurable outcomes,” said Krishnan Iyer, Chief Growth Officer, LTM. “BlueVerse for iRun brings together agentic AI, operational intelligence, and governed automation to help clients move beyond effort-led models to resilient, outcome-driven operations that scale with confidence.”

With governance embedded by design, BlueVerse for iRun incorporates policy-bound execution, human-in-the-loop decisioning, and full auditability—ensuring enterprise-grade trust as AI scales across operations.

BlueVerse for iRun extends the BlueVerse ecosystem into integrated operations—spanning application management, cognitive infrastructure services, and cybersecurity—helping enterprises Outcreate traditional managed services into an AI-driven model that delivers compounding business outcomes. For more information, visit ltm.com/services/iRun .

Tech Mahindra Introduces Agentic ADMS for Autonomous Enterprise Transformation

Tech Mahindra has announced the launch of its new Agentic Development & Modernization Services (ADMS), a next‑generation portfolio that integrates agentic AI across the application lifecycle to help enterprises modernize legacy systems, optimize operations, and build AI‑native digital ecosystems.

Key Announcement

• Launch Date & Location: June 3, 2026, Pune.
• Company: Tech Mahindra (NSE: TECHM), a global provider of technology consulting and digital solutions.
• Objective: Redefine traditional Application Development and Maintenance Services (ADMS) into Agentic Development & Modernization Services, embedding autonomous AI into enterprise application lifecycles.

Core Features of Agentic ADMS

• Modernizing Platforms for Autonomy: Re‑architecting enterprise platforms into modular, API‑first, AI‑ready foundations.
• Agentic Software Engineering: Embedding AI agents across DevSecOps lifecycles to boost productivity and accelerate delivery.
• Autonomous Operations: Leveraging intelligent automation, knowledge graphs, reasoning engines, and AIOps for real‑time monitoring and self‑healing systems.
• Autonomous Quality Fabric: AI‑driven quality assurance agents continuously optimize testing and reliability across DevOps pipelines.

Powered by Tech Mahindra Platforms

• Swifter.io, AppGinieZ, Reforge, LitmusT and other accelerators support autonomous engineering, modernization, intelligent operations, and AI‑enabled quality assurance.
• Vector Squad delivery model combines human expertise with AI agents.
• Service Tokens pricing enables modular consumption, clearer value realization, and predictable costs.

Industry Context

• Kunal Purohit (President – Next Gen Verticals, Tech Mahindra): Highlighted rising enterprise demand for intelligent operations and autonomous software engineering, with spending on next‑gen application services expected to grow significantly.
• Alisha Mittal (VP, Everest Group): Noted that the application services market is entering a “more agentic phase,” moving beyond traditional automation toward AI‑enabled delivery models that support continuous evolution and resilience.

Strategic Impact

• For Enterprises: Faster modernization of legacy estates, improved operational predictability, and scalable AI‑native platforms.
• For Global Markets: Positions Tech Mahindra as a leader in autonomous enterprise engineering.
• For India’s Tech Sector: Reinforces India’s role in shaping AI‑driven enterprise transformation globally.

At a Glance

Pillar	Focus Area	Outcome
Modernizing Platforms	API‑first, modular, AI‑ready	Adaptive, agent‑driven execution
Agentic Engineering	AI agents in DevSecOps	Faster delivery, better outcomes
Autonomous Operations	Automation, AIOps, reasoning	Real‑time monitoring, self‑healing
Quality Fabric	AI‑driven assurance	Continuous reliability & testing

Nvidia Acquires Kumo AI in ~$400M Push Into Enterprise Predictive Models

Nvidia has acquired enterprise AI startup Kumo AI for at least $400 million, strengthening its push into predictive foundation models for structured business data, reported The Information. The deal brings Kumo’s co-founders and proprietary graph neural network technology into Nvidia’s enterprise AI portfolio.

Kumo AI is a Mountain View–based enterprise AI startup founded in 2021 by Vanja Josifovski, Hema Raghavan, and Jure Leskovec. It raised $37 million in funding, led by Sequoia Capital, before being acquired by Nvidia in 2026.

In terms of funding, Kumo AI raised $37 million in 2022, with Sequoia Capital leading the investment. Other backers included SV Angel and a group of angel investors. Before its acquisition by Nvidia in 2026, Kumo had already secured enterprise customers such as Reddit, Sainsbury’s, DoorDash, Databricks, and Snowflake, positioning itself as a key player in predictive AI for business applications.

Key Facts About the Acquisition

• Deal Value: At least $400 million (reported by The Information).
• Company Acquired: Kumo AI, founded in 2022, focused on predictive AI for enterprise data.
• Co-founders: Vanja Josifovski, Hema Raghavan, and Jure Leskovec (all now at Nvidia).
• Funding History: Raised $37 million in 2022 from Sequoia Capital.
• Customers: Reddit, Sainsbury’s, DoorDash, Databricks, Snowflake.
• Technology: Uses graph neural networks and a proprietary Predictive Query Language to automate data preparation and answer predictive business questions.

Strategic Purpose

• Enterprise AI Expansion: Nvidia is broadening beyond chips into enterprise AI software, embedding predictive models directly into workflows.
• Hardware Synergy: Kumo’s models are expected to be optimized for Nvidia GPUs, strengthening Nvidia’s AI foundry software ecosystem.
• Competitive Edge: Helps Nvidia compete with hyperscalers (AWS, Google Cloud, Microsoft) and enterprise-focused AI rivals like Anthropic.
• Use Cases: Customer churn prediction, payment risk analysis, and operational forecasting for structured enterprise data.

Technical Highlights

• Graph Neural Networks: Represent enterprise data as nodes and edges, enabling richer predictive insights than row-based models.
• Predictive Query Language: Translates natural-language questions into model queries.
• Automation: Cuts manual data preparation effort by up to 95%.
• Latest Release: KumoRFM-2 model (April 2026), designed for structured data analysis.

Nvidia’s Broader Context

• Q1 FY2027 Revenue: $81.6B (up 85% YoY), driven by data center demand.
• New Products: Vera CPU, Cosmos 3 foundation model for robotics/autonomous driving.
• Challenges: Component shortages limiting near-term growth despite record demand.

Why It Matters for Enterprises

• Faster AI Deployment: Kumo’s automation reduces setup time, making predictive AI accessible to non-technical teams.
• Integration Potential: Likely to be embedded into Nvidia’s enterprise AI stack, enabling customized models for industries like retail, finance, and logistics.
• India Context: Gurugram’s IT and consulting firms could benefit early, given Nvidia’s global rollout and Kumo’s enterprise focus.

Nvidia has been on an aggressive acquisition spree in 2024–2026, targeting AI infrastructure, semiconductors, and enterprise software. Its most recent deals include the $400M purchase of Kumo AI, a $20B acquisition of Groq, and a $700M buyout of Run:ai.

Nvidia’s Major Recent Acquisitions (2024–2026)

Company	Year	Deal Value	Sector	Key Focus
Run:ai	2024	$700M	AI Infrastructure	Israeli AI orchestration platform for GPU scheduling and enterprise AI workloads.
Deci	2024	$300M	Deep Learning	Acceleration platform improving model performance up to 15x.
Groq	2025	$20B	AI Chips	High-performance inference processors; Groq’s TPU-like tech integrated into Nvidia’s AI factory.
Shoreline.io	2024	$100M	Cloud Ops	Automates system incident fixes; founded by ex-AWS executive.
OctoAI	2024	$250M	Healthcare AI	Seattle-based startup focused on medical AI solutions.
VinBrain	2024	Undisclosed	Healthcare AI	Vietnamese healthcare AI subsidiary of Vingroup.
Kumo AI	2026	$400M	Predictive AI	Structured data predictive models using graph neural networks.
OpenAI (equity stake)	2026	$30B+	Generative AI	Strategic investment to deepen Nvidia’s role in LLM deployment.
Corning	2026	$2.7B	Optical Connectivity	Strengthening data center interconnects.
Intel (stake)	2025	$5B	Semiconductors	Partnership to expand AI chip collaboration.

TCS Becomes First Global Integrator Partner for Mistral Forge

Tata Consultancy Services (TCS) has announced a landmark partnership with French AI firm Mistral, becoming the first global systems integrator for Mistral Forge — a frontier-grade enterprise AI platform. This collaboration positions TCS at the forefront of trusted, scalable AI adoption across industries like BFSI, healthcare, manufacturing, and the public sector.

Mistral is special because it is one of the few AI companies building frontier-grade, open-source models that rival proprietary systems, while giving enterprises full control over customization, deployment, and data privacy. TCS boasts of being the first global systems integrator for Mistral Forge because it positions them uniquely to deliver enterprise-ready AI solutions at scale, ahead of competitors.

Unlike closed black-box providers, Mistral releases high-performance models under permissive licenses (Apache 2.0), enabling enterprises to audit, customize, and deploy securely.

Partnership Overview

• TCS–Mistral Collaboration: TCS will leverage Mistral Forge to build custom AI models grounded in enterprise data and domain-specific knowledge.
• Strategic Role: TCS is the first global systems integrator partner for Mistral Forge, enabling enterprises to move from experimentation to production-ready AI systems.
• Global Reach: TCS will deploy solutions across North America, UK, Europe, and Asia-Pacific, tailoring them to industry-specific regulatory and operational needs.

Key Features of the Collaboration

• Custom AI Models: Enterprises can fine-tune models using proprietary data to improve decision-making.
• Centre of Excellence: TCS will establish a dedicated hub for joint innovation, industry-specific solutions, advanced training, and early access to Mistral’s beta models.
• Sectoral Focus: BFSI, manufacturing, healthcare, and public sector — industries where trusted AI adoption is critical — will be the initial focus.
• Leadership Statements:
  Arthur Mensch (CEO, Mistral): “TCS’ global scale and contextual industry knowledge make them an ideal partner.”
  K Krithivasan (CEO, TCS): “This partnership reinforces TCS’ commitment to scaling enterprise AI with trust, control, and measurable outcomes.”

Strategic Importance

• Infrastructure to Intelligence Strategy: This partnership aligns with TCS’ broader AI roadmap, which spans infrastructure, models, data, applications, and intelligence.
• AI Ecosystem Expansion: TCS aims to become the world’s largest AI-led technology services company, embedding AI across enterprise workflows.
• Differentiated Proposition: By combining Mistral’s frontier AI with TCS’ contextual expertise, enterprises gain industry-specific, sovereign-compliant AI solutions.

Headquartered in France, Mistral is known for open-source generative AI models and its decentralized, transparent approach to technology. It has a presence in the US, UK, and Singapore. 

Why This Matters

• Enterprise AI Adoption: The partnership accelerates the shift from pilot projects to large-scale AI deployment.
• Trusted AI: Focus on governance, regulatory compliance, and sovereign requirements ensures responsible scaling.
• Global Impact: With TCS’ reach and Mistral’s frontier models, enterprises worldwide gain access to production-ready AI systems.

Comparison Table: Mistral vs Other AI Providers

Feature	Mistral AI	Closed Providers (e.g., OpenAI, Anthropic)
Model Access	Open-source weights, Apache 2.0 license	Proprietary APIs only
Customization	Full fine-tuning with enterprise data	Limited or no customization
Data Privacy	Deploy on-premises or private cloud	Data flows through provider APIs
Innovation Speed	Rapid releases (Mistral 7B, Mistral 3, Forge)	Controlled, slower rollout
Enterprise Fit	Tailored industry-specific solutions	General-purpose, less contextual

HCLTech Launches Autonomous Finance Platform for use with Google Cloud’s Gemini Enterprise

HCLTech, a leading global technology company, today announced the launch of an autonomous finance platform that transforms core finance and accounting operations using Gemini Enterprise.

While enterprises make significant investments in core ERP and SaaS platforms, finance and accounting operations continue to rely heavily on manual intervention. The new platform is designed to address this gap by enabling finance processes to operate with a high degree of autonomy and intelligence, while integrating seamlessly with existing technology systems.

Unlike traditional automation and isolated AI use cases, the platform orchestrates end-to-end finance processes autonomously — executing, learning and continuously optimizing workflows across Invoice-to-Pay, Order-to-Cash, Financial Planning & Analysis (FP&A) and Record-to-Report. This approach enables faster execution, improved control and measurable business outcomes for enterprise finance organizations.

This enterprise-grade platform brings together Google’s Gemini Enterprise AI stack and secure cloud infrastructure with HCLTech’s deep finance domain expertise, engineering capabilities and operations experience. The Autonomous Finance platform leverages HCLTech’s Industry AI Solutions, which brings domain-trained AI solutions tailored to specific industry and enterprise functions. The new platform is scalable, secure and designed for real-world finance operations, while accelerating time-to-value for global enterprises.

“ERP and SaaS platforms digitized finance, but they did not fundamentally change how work gets done,” said Upjit Ghuman, Executive Vice President and Global Head of BPO, HCLTech. “Our platform introduces an Agentic AI fabric that operates on top of customers’ existing IT systems, enabling finance processes to run largely autonomously. By significantly reducing manual intervention, CFOs and finance teams can focus on judgment-driven, strategic and value-creating work.”

“HCLTech’s AI strategy is about taking AI from experimentation to enterprise scale,” said Vijay Guntur, Chief Technology Officer and Head of Ecosystems at HCLTech. “This collaboration with Agent Platform is a strong step forward in that direction — bringing together advanced AI capabilities and real-world enterprise depth to create solutions that can be deployed with confidence across core business functions.”

“Gemini Enterprise and Google’s AI stack are built to handle the complex orchestration required by the world’s largest enterprises,” said Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud. “Built on this foundation, HCLTech’s finance platform combines deep domain understanding with proven engineering excellence to transform core business functions into autonomous, agent-led operations."

HCLTech is a global technology company, home to more than 227,000 people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud and software, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Semiconductor, Telecom and Media, Retail and CPG, Mobility and Public Services. Consolidated revenues as of 12 months ending March 2026 totaled $14.7 billion. To learn how we can supercharge progress for you, visit hcltech.com.

OpenAI Invests $4B in New AI Deployment Company; Acquires Tomoro to Scale Enterprise AI

OpenAI has officially launched the OpenAI Deployment Company with over $4 billion in initial funding and acquired AI consulting firm Tomoro, adding 150 engineers to accelerate enterprise adoption of AI. The new unit will embed specialists directly inside organizations to redesign workflows and scale AI deployment.

OpenAI emphasized that deployment is as critical as research, noting that “real impact comes from helping people and organizations use AI systems safely, effectively, and at scale.

Key Highlights

The OpenAI Deployment Company is built to help businesses deploy AI across their most critical operations.

• Company Name: OpenAI Deployment Company (DeployCo)
• Launch Date: May 11, 2026
• Initial Investment: $4 billion, backed by 19 global investors
• Valuation: ~$10 billion pre-money
• Acquisition: Tomoro (AI consulting firm, founded 2023)
• Staffing Boost: ~150 engineers and deployment specialists from Tomoro
• Ownership: Majority-owned and controlled by OpenAI

Strategic Purpose

• Enterprise AI Deployment: Embed Forward Deployed Engineers (FDEs) inside client organizations.
• Workflow Redesign: Partner with business leaders to identify high-value AI use cases.
• Outcome-Oriented Model: Shift from API access toward measurable productivity outcomes.

Investor Backing

Investor	Role	Industry Reach
TPG	Lead investor	Retail, healthcare, logistics
Advent International	Co-lead	Global private equity
Bain Capital	Co-lead	Finance, consulting
Brookfield	Co-lead	Infrastructure, real estate
SoftBank, Goldman Sachs, Warburg Pincus, BBVA, Emergence Capital	Founding partners	Finance, tech, telecom
Capgemini, Bain & Co., McKinsey	Consulting partners	Enterprise integration

Tomoro’s Role

• Founded: 2023 in alliance with OpenAI
• Clients: Virgin Atlantic, Tesco, Mattel, Red Bull
• Specialization: AI deployment in complex enterprise environments
• Impact: Provides immediate scale with experienced engineers and proven case studies

Competitive Context

• Anthropic Rivalry: Claude models gaining traction in enterprise AI.
• Hyperscaler Competition: Microsoft, Google Cloud, AWS dominate enterprise integration.
• Strategic Shift: Frontier models alone don’t convert to enterprise revenue — deployment expertise is essential.

Why It Matters

• For Enterprises: Direct access to embedded AI engineers.
• For Investors: $10B valuation signals confidence in enterprise AI.
• For India: Indian firms may benefit early from DeployCo’s rollout.

Bain & Company highlighted that the OpenAI partnership will deliver measurable results in portfolio companies through automation, customer experience improvements, and supply chain optimization.

Brookfield announced a $500 million investment into the new venture, citing AI as a “defining driver of productivity across the backbone of the global economy.

LTM Unveils BlueVerse™ Marketplace to Accelerate SAP Agent Onboarding

LTM, the Business Creativity partner to the world’s largest enterprises, today announced the launch of the LTM Business Orchestration Platform, an AI-powered offering designed to enable enterprises to move from fragmented decision-making to real-time, intelligent operations across SAP and the wider enterprise landscape. LTM BlueVerse™ serves as the marketplace layer for scalable onboarding of SAP‑focused agents within the platform.

The SAP-Centric Business Orchestration Platform with SAP-based tools is built on capabilities spanning AI engineering, intelligent decision orchestration, and resilient operations. It brings decision-making and execution together into a single intelligent operating layer. By enabling a shift from reactive processes to autonomous, outcome‑driven execution, the platform delivers measurable impact for SAP‑driven enterprises, including up to 30 per cent faster AI deployment, 40 per cent fewer manual interventions, and up to 60 per cent faster incident resolution.

“The real value of SAP is unlocked when insights translate into action in real time. The LTM Business Orchestration Platform provides a unified intelligence layer that connects data, decisions and execution, extending SAP’s impact across the enterprise,” said Krishnan Iyer, Chief Growth Officer, LTM.

To learn more about this globally available offering, click here or visit us at SAP Sapphire Orlando to see the LTM Business Orchestration Platform in action.

IBM and Yotta Partner to Deliver Secure, Sovereign Agentic AI for Enterprises and Government

(L-R) Sandip Patel, Managing Director, IBM India & South Asia; Sunil Gupta, Co-Founder, Managing Director & CEO, Yotta Data Services; Sriram Raghavan, General Manager, IBM Software, India and Software Innovation Lab

• The collaboration intends to host IBM watsonx Orchestrate on Yotta's Shakti Cloud and bring IBM Sovereign Core to India, enabling enterprises to scale trusted, compliant AI

IBM (NYSE: IBM) and Yotta Data Services Private Limited ("Yotta") today announced plans to enter into a strategic partnership to deliver an Agentic AI platform for enterprises and government organisations in India. The platform is proposed to be built using IBM watsonx Orchestrate and deployed on Yotta's Shakti Cloud, to help organisations scale AI adoption while meeting evolving requirements around data residency, security, and regulatory compliance.

As enterprises move from AI experimentation to operational deployment, there is increasing demand for platforms that can orchestrate AI-driven workflows across business functions while maintaining governance and control. The proposed platform will enable organisations to deploy and manage AI agents across IT service management, HR, finance, procurement, and customer support.

As part of the collaboration, IBM and Yotta also intend to bring IBM Sovereign Core onto Yotta's Shakti Cloud. IBM Sovereign Core, now generally available, is a software platform designed to help organisations build and operate AI-ready sovereign environments — delivering continuous compliance monitoring, verifiable control, and governed AI execution across data, operations, technology, and AI. Together, the two offerings are intended to give Indian organisations a complete foundation for deploying agentic AI at scale, without compromising on compliance or control.

"AI innovation in India must be anchored in sovereignty, security, and performance. Together with IBM, we propose to enable enterprises to harness the power of agentic AI on a secure, India-hosted cloud, so they can innovate with confidence while maintaining control over their data and operations," said Sunil Gupta, Co-Founder, Managing Director & CEO, Yotta Data Services.

Yotta's Shakti Cloud provides scalable GPU infrastructure and AI services designed for Indian enterprises. Combined with IBM watsonx Orchestrate — an enterprise agentic AI platform — the proposed solution is intended to help Indian organisations adopt AI with speed and security, enabling AI-driven orchestration that accelerates time-to-value and streamlines operations across functions.

IBM Sovereign Core: Making Digital Sovereignty Operational

IBM Sovereign Core introduces a new model for operational sovereignty, where governance, compliance, and control are built into the system from the start. IBM defines digital sovereignty across four pillars:

• Operational Sovereignty — control over how environments are operated
• Data Sovereignty — control over data at rest, in use, and in motion
• Technology Sovereignty — open, modular architecture that avoids vendor lock-in
• AI Sovereignty — control over where models run and how inference is governed. 

IBM Sovereign Core delivers an integrated software platform combining control plane, identity, security, compliance, and AI execution functions within a single deployment model. Key capabilities include a customer-operated control plane, in-boundary identity and encryption, continuous compliance monitoring and evidence generation, preloaded regulatory frameworks, governed AI execution, and an open, modular architecture built on Red Hat OpenShift and Red Hat AI.

By intending to host IBM Sovereign Core on Yotta's Shakti Cloud — an India-based, MeitY-empanelled infrastructure — the partnership aims to deliver a sovereign environment purpose-built for India's regulatory requirements, supporting enterprises and government organisations in meeting data residency mandates, maintaining audit-ready compliance evidence, and deploying AI workloads within defined sovereign boundaries.

"Indian enterprises are increasingly focused on operationalising AI in a way that is secure, governed, and aligned with regulatory expectations. This collaboration will combine IBM's AI capabilities with Yotta's sovereign cloud infrastructure to help organisations scale AI responsibly — embedding sovereignty, governance, transparency, and trust from the outset," said Sandip Patel, Managing Director, IBM India & South Asia.

IBM and Yotta intend to jointly pursue go-to-market initiatives including solution co-creation, proof of concepts, and technical enablement, targeting organisations across BFSI, public sector, manufacturing, and digital-native industries.

About Yotta Data Services Private Limited

Yotta Data Services is a sovereign cloud infrastructure and platform services provider, offering cloud, AI cloud, data centre hosting, connectivity, media tech and cybersecurity services; managed applications; and a wide range of managed IT services. Yotta operates its cloud regions at its hyperscale data centre parks in Panvel (Navi Mumbai) and Greater Noida (Delhi NCR). Yotta's homegrown, open-source-based Sovereign hyperscale cloud, Yntraa, is MeitY empanelled (VCC and GCC). Yotta has also launched Shakti Cloud, a platform providing enterprises with a comprehensive suite of AI services including AI labs, AI workspaces, Shakti Studio AI Inference platform, access to NVIDIA NIM services, and Kubernetes clusters with GPU resources. Yotta is the only NVIDIA Cloud Partner (NCP) across the APAC region to be part of the NVIDIA Exemplar cloud initiative and is one of only six Reference Architecture Platform NCPs globally. For more information, visit www.yotta.com.

About IBM

IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of governments and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information.

Accenture Deploys Microsoft Copilot to 743,000 Staff in Largest AI Rollout

Accenture has rolled out Microsoft Copilot to its entire global workforce of about 743,000 employees, making this the largest enterprise AI deployment to date. Early results show that 97% of staff complete routine tasks faster, with productivity gains reported across the board.

Key Highlights of the Rollout

• Scale: 7.43 lakh employees globally, the biggest Copilot enterprise deal so far.
• Productivity Gains: 97% of surveyed employees complete routine tasks faster; 53% report significant improvements in overall productivity.
• Integration: Copilot is embedded into Word, Excel, PowerPoint, Outlook, Teams, SharePoint, and OneDrive.
• Employee Adoption: Monthly active usage reached 89% in pilot phases.
• Leadership Statements: Julie Sweet (CEO), Tony Leraris (CIO), Satya Nadella (CEO, Microsoft) highlighted Copilot’s transformative role.

How Employees Use Copilot

• Meeting prep: Summarising conversations, drafting agendas in Outlook and Teams.
• Document work: Drafting reports, checking consistency across materials.
• Data insights: Pulling information from SharePoint and OneDrive.
• Sales & client teams: Custom Copilot tools generate more opportunities.

Strategic Significance

• For Accenture: Embedding AI into everyday work, linking promotions to adoption.
• For Microsoft: Large-scale deals drive revenue growth, validate AI investments.
• Market Context: Microsoft expands AI portfolio beyond OpenAI, adding Anthropic models.

Comparison: Pilot vs. Full Rollout

Phase	Scale	Focus	Outcome
Pilot (2023–2024)	20,000 → 300,000 users	Data governance, access controls, adoption strategies	89% monthly active usage
Full Rollout (2026)	743,000 employees	Embedding AI into daily workflows globally	97% faster routine tasks, 53% productivity gains

Risks & Challenges

• Financial Terms: Not disclosed, but expected significant given Copilot’s pricing.
• Investor Concerns: Microsoft’s stock fell 12% in early 2026 amid ROI questions.
• Governance: Accenture emphasises strict controls to meet regulatory requirements.

Findability Sciences to Host Innovision ’26, Enterprise AI Summit in Boston

• The flagship Enterprise AI Summit makes its U.S. debut, convening global business leaders to confront the widening gap between AI ambition and real-world business impact.

Findability Sciences today announced Innovision ’26, its flagship Enterprise AI Summit and Global AI Awards, to be held on April 30, 2026, in Boston, Massachusetts. This marks the event’s first-ever U.S. edition. An invitation-only gathering, Innovision ’26 will bring together senior enterprise leaders from across North America, Europe, and Asia for a curated day of leadership conversations, applied AI strategy, and peer recognition centered on one urgent question: how do you actually make AI work inside a complex, real-world enterprise?

THE PROBLEM THIS SUMMIT IS BUILT TO SOLVE

Most enterprise leaders today no longer need to be convinced that AI matters. The debate has moved. The challenge now is execution: how to operationalize AI at scale, industrialize it across functions, and translate it into measurable business outcomes rather than impressive pilot programs that never graduate to production.

That is the gap Innovision ’26 is designed to close. Not the awareness gap. Not the technology gap. The execution gap, which is where most enterprise AI investments stall, and where the difference between leaders and laggards is being decided right now.

“Businesses today are not navigating ordinary change. They are dealing with disruption that is structural, continuous, and unforgiving. The real divide is no longer between those who know AI matters and those who don’t. It is between those who talk about AI and those who have made it part of how they think, decide, operate, and lead. Innovision ’26 is built for the people who understand that urgency and are ready to do something about it.”
— Anand Mahurkar, Founder and CEO, Findability Sciences

WHAT ATTENDEES CAN EXPECT

Innovision ’26 opens with two keynote sessions that set the strategic and creative frame for the day. Matthias Funke of IBM Corporate Strategy will present IBM’s perspective on why enterprise AI initiatives stall and what it takes to move from experimentation to industrialization. Seth Goldenberg, founder of Curiosity & Co., will explore how design thinking and radical curiosity equip organizations with the leadership mindset needed to close the execution gap. Together, the sessions make the case that sustainable AI advantage requires not just the right technology, but the right culture, the right talent posture, and relentless execution discipline.

The summit will also feature practitioner-led sessions, peer networking, and the Global AI Awards, recognizing organizations and leaders who have moved beyond promise to demonstrated, measurable impact.

“Leaders are no longer asking whether AI matters. They are asking how to make it work inside the real complexity of their business, across legacy systems, competing priorities, and organizational inertia. Innovision ’26 is a practical, strategic forum for that exact challenge: moving from intent to impact, and from enthusiasm to repeatable, scalable outcomes.”
— Balaji Krishnamoorthy, Executive Vice President, Findability Sciences

CO-SPONSORS

Innovision ’26 is co-sponsored by IBM Research, Pantaleon, SB Telecom America, Relevance Labs, Stomata Labs, and Worcester Polytechnic Institute, bringing together a cross-industry ecosystem united around the future of enterprise AI.

ABOUT FINDABILITY SCIENCES

Findability Sciences is a global enterprise AI company that helps organizations transform data into predictions, insights, and intelligent workflows that drive measurable business outcomes. Recognized by Fortune as one of America’s Most Innovative Companies in both 2023 and 2024, and ranked among the Inc. 5000 fastest-growing companies, Findability Sciences brings deep expertise in enterprise AI, forecasting, agentic workflows, and industry-specific transformation. The company works with organizations across manufacturing, financial services, retail, telecom, and government to operationalize AI with speed, accountability, and demonstrable ROI.

Website: findability.ai