L&T Technology Services Launches FARM to Fast‑Track Deep‑Tech Startup Commercialization

Program will provide startups with access to LTTS engineering expertise, global customer ecosystems, mentorship and commercialization pathways

L&T Technology Services (BSE: 540115, NSE: LTTS), a global leader in Engineering Intelligence Solutions & ER&D Consulting Services, announced the launch of LTTS FARM, a startup engagement platform designed to accelerate the commercialization journey of deep-tech startups through Engineering Intelligence-led collaboration, co-innovation and market access.

Built on the philosophy of “Collaboration First, Commercialization Next”, LTTS FARM is targeted at startups with TRL 4+ technologies that have validated their technical feasibility and are ready to explore industry adoption. The program is focused on startups aligned with LTTS’ Technology Big Bets – Software Defined Mobility (SDM), Plant Buildout & Modernization, Energy & Industrial Automation, Digital Manufacturing, Next Gen Compute & Data Centers, Software Platforms & EI and MedTech - with the potential to further advance these strategic priorities through new technologies and solutions. By leveraging LTTS’ global presence, domain expertise and customer relationships, LTTS FARM seeks to create a structured launch pad for startups to progress from validated innovation to customer adoption and long-term growth.

The initiative reflects LTTS’ commitment to fostering a thriving innovation ecosystem by bringing together startups, engineering talent and industry stakeholders to address real-world business and technology challenges. The journey will span across evaluation, onboarding, co-innovation, pilot development and commercialization opportunities for eligible startups. Suitable solutions will be considered for broader industry deployments aided by pilot projects, proof-of-concepts, customer demonstrations and diverse commercial engagements.

Amit Chadha, CEO & Managing Director, L&T Technology Services and Member of NASSCOM Executive Council, said, “Many promising technologies struggle because of limited access to customers, industry expertise and commercialization opportunities. Through LTTS FARM, we are creating a platform where startups can collaborate with our experts, gain exposure to global markets and customer requirements, validate real-world applications and accelerate their journey from solution readiness to market adoption. By nurturing innovations that align with and further our technology big bets, LTTS FARM will also expand our Engineering Intelligence ecosystem and help transform breakthrough ideas into industry-ready solutions that deliver measurable business impact”.

About L&T Technology Services Ltd

L&T Technology Services (LTTS) is a global leader in Engineering Intelligence Solutions & ER&D Consulting Services. A listed subsidiary of Larsen & Toubro (L&T), we offer design, development, testing, and sustenance services across products and processes. Purposeful. Agile. Innovation. is how we drive growth across the Mobility, Sustainability and Tech segments. Our customer base includes 69 Fortune 500 companies and 57 top ER&D companies across industrial products, medical devices, transportation, telecom & hi-tech, and process industries. Headquartered in India, we have over 23,840 employees across 21 global design centers, 30 global sales offices, and 103 innovation labs, as of June 30­, 2026.

For additional information about L&T Technology Services log on to https://www.ltts.com/.

Viyona Fintech Goes Live with UPI Switch at Bharat Cooperative Bank

Hyderabad-based Viyona Fintech has gone live with its UPI Switch at Bharat Cooperative Bank, marking an important production deployment for the fintech company as it expands its presence in India’s banking and payments infrastructure space.

The integration enables Bharat Cooperative Bank to connect its banking systems with the UPI ecosystem through Viyona’s switching technology. The platform handles the technology layer required for processing UPI transactions, along with functions such as transaction routing, reconciliation, monitoring and operational controls.

For Viyona, the go-live is significant because it takes the company’s UPI Switch from technology development and certification into a live banking environment.

“Getting a payment switch certified is one part of the journey. Seeing it actually go live with a bank and process transactions is a completely different milestone for us,” said Ravindranath Yarlagadda, Founder and CEO of Viyona Fintech.

“We have spent considerable time building the technology, going through testing and working closely with the bank and ecosystem partners. This go-live gives us the confidence to take the platform to more banks,” he added.

Viyona has been gradually building a wider technology stack for banks rather than focusing only on consumer-facing payment products.

Its technology portfolio includes UPI and IMPS switching infrastructure, internet and mobile banking technology, Bharat Connect/BBPS solutions and systems supporting merchant payments, collections, payouts and reconciliation.

The company sees cooperative and regional banks as an important opportunity as more financial institutions look to modernise their payment infrastructure while maintaining the security, reliability and regulatory controls required in banking.

India’s rapid adoption of UPI has also changed what banks expect from their technology partners. As transaction volumes increase, the infrastructure behind a payment has to process transactions quickly while managing failures, reversals, reconciliation, fraud controls and continuous availability.

According to Yarlagadda, this is the part of fintech that customers rarely see but which ultimately determines whether a digital payment works reliably.

“When somebody scans a QR code and makes a payment, they expect it to happen in seconds. Behind those few seconds there are several systems communicating with each other. Our focus is on building that infrastructure and making it dependable,” he said.

The Bharat Cooperative Bank deployment is expected to become a reference implementation for Viyona as it looks to work with more banks and financial institutions.

The company is also developing its capabilities across other parts of the digital banking and payment ecosystem, with the broader objective of becoming a full-stack banking technology provider.

For Viyona, however, the immediate focus is on ensuring that the newly launched UPI infrastructure performs reliably at scale.

“This is an important day for our team, but it is also the beginning of the next phase for us,” Yarlagadda said. “We built the technology in India, our engineers worked on it from the ground up, and now it is running in a live banking environment. That is something our entire team is proud of.”

With UPI continuing to reshape payments across the country, companies such as Viyona are betting that the next big opportunity in Indian fintech will not only be in building payment apps, but also in building the infrastructure underneath them.

IBM Ventures Invests in BQP: Quantum Physics Acceleration Reaches Production

BQP Founding Team

• IBM Ventures has invested in BQP, bringing total funding to $8M and backing BQP's expansion from engineering design into real-time operational decisions. The investment extends a technical relationship that began in 2023, when BQP joined the IBM Quantum Network.


• Classical solvers leave roughly 85% of a GPU's floating-point capacity idle. BQP's flagship platform, BQPhy®, puts that capacity to work, resolving full-fidelity physics inside operational decision windows.


• BQPhy® is in production with aerospace and defense customers, with contracted and committed revenue up 8x since BQP's 2025 seed round and 3x customer growth.

BQP, the physics acceleration company, today announced a strategic investment from IBM Ventures, the venture capital arm of IBM. The investment brings BQP's total funding to $8M and funds BQPhy®'s expansion from engineering design into operational deployment, scaling delivery and go-to-market as BQP expands beyond aerospace and defense. Venn10 Capital and existing investor Monta Vista Capital also participated. Since its 2025 seed round, backed by New York State's venture arm and other institutional investors, BQP has grown contracted and committed revenue 8x, tripling its customer base and growing platform users 20x.

"An engineer with a deadline doesn't care where the answer came from. They care that it arrived in time and that the physics is right. The industry spent years treating this as a hardware problem that warranted faster chips, more of them, and eventually a quantum one. But it was always a software problem," said Abhishek Chopra, Founder and CEO of BQP.

Chopra added: "We spent those years earning our way into engineering workflows, so when the quantum machines are ready, nothing about how those teams work has to change. That's the path IBM has watched us build since 2023, and this investment says it's the right one."

Mission-critical decisions have deadlines, and high-fidelity physics simulations rarely meet them. More hardware has not closed the gap. Classical physics solvers leave roughly 85% of a GPU's floating-point capacity idle, because the sparse iterative methods underneath simulation are bound by memory access rather than compute. Teams choose between accurate models that return the right answer too late, or fast methods that answer on time by skipping the physics, leaving hidden risk behind over-engineered safety margins.

BQPhy® removes this trade-off between speed and accuracy. Its physics-AI optimization engine resolves the full physics inside the decision window, using the GPU capacity classical solvers leave idle. The platform delivers this through two solvers that share a single SDK, integrated natively into MATLAB as a MathWorks Connections Program partner, with standard APIs for Python, Julia, and other frameworks. This enables engineers to get the answers without leaving the tools they already use.

QuantumNOW™ is in production today on customers' existing CPU and GPU infrastructure, and each deployment maps which problems belong on a QPU - making QuantumMAX™, BQP's quantum-native solver in development, an on-ramp rather than a bet. It is written for heterogeneous CPU-GPU-QPU execution rather than a single hardware target.

"What stood out with BQP is that users don't have to change how they work to get quantum-accelerated results. Their proven track record of developing software that helps enterprises build a practical path toward hybrid quantum-classical computing is what gives IBM Ventures confidence in making this investment," said Emily Fontaine, Global Head of IBM Ventures.

In aerospace and defense, BQP's furthest-along work is in space. Under an SBIR with the U.S. Space Force and SpaceWERX, extending earlier work with the SDA TAP Lab, BQPhy®'s physics AI propagates a catalog of more than 3,000 space objects in under a second, roughly 250x faster than the open-source Orekit solver by compressing the model using proprietary algorithms. BQP also holds a CRADA with the Air Force Research Laboratory's Aerospace Systems Directorate and has demonstrated BQPhy® on radio-frequency signal problems for the tactical edge with NavalX. With Modovolo, BQP built a system-level propulsion optimization for UAV mission profiles, expanding from three design variables to more than twelve and tuning propeller and motor as a single unit; integration took roughly one week through the API.

In energy, BQP is applying the same platform to commercial systems, with EV battery thermal management work funded by India's Ministry of Heavy Industries and the Indian School of Business.

The same engine that predicts where a satellite is heading also predicts how heat moves through a battery pack or a data center rack: different industries with the same high-dimensional physics that has to resolve before the decision window closes.

QuantumNOW™ is in production; QuantumMAX™ is proving out. In work presented at USNC/TAM 2026, BQP ran QuantumMAX™ on quantum hardware for uncertainty quantification in computational fluid dynamics, reaching the same accuracy as classical Monte Carlo with fewer samples on a benchmark-scale problem. BQP's research is published in IEEE, AIAA, and APL Quantum, with best paper awards at AeroCon 2026 and the IEEE Space, Aerospace and Defence Conference (SPACE 2026).

About BQP

BQP (formerly BosonQ Psi) is a physics acceleration company applying quantum algorithms to mission-critical operational decisions. Its unified Quantum-HPC platform, BQPhy®, pairs physics AI surrogates with an optimization solver, delivering results on today's CPU and GPU infrastructure through QuantumNOW™ with quantum-native acceleration in development through QuantumMAX™ - both on a single SDK. Headquartered in Syracuse, New York, with offices in the UK and India. Learn more at https://www.bqpsim.com

Agilent Unveils Next‑Gen Lab Technologies to Boost India’s Testing Efficiency and Compliance

India's pharmaceutical, food, environmental and industrial testing laboratories are under increasing pressure to process higher testing volumes while maintaining quality, compliance and operational efficiency. From safeguarding the quality of medicines and food to supporting environmental monitoring and advanced manufacturing, laboratories are expected to deliver reliable results faster while meeting increasingly stringent quality and regulatory requirements.

To help laboratories meet these challenges, Agilent Technologies today announced the India launch of the Agilent 9500 Triple Quadrupole ICP-MS, the new 8890B and 8860B Gas Chromatography Systems with GC Assist, and OpenLab Sync, Agilent's new Lab Execution System (LES) that brings guided digital workflows directly to the bench.

“India's laboratories play a critical role in ensuring the quality of medicines, food, water and manufactured products that people rely on every day,” said Nandakumar Kalathil, Country General Manager, India, Agilent Technologies. “As testing requirements continue to grow across industries, laboratories are looking for ways to improve productivity without compromising quality. These new technologies are designed to make advanced capabilities easier to adopt while helping laboratories operate more efficiently and grow with confidence.”

Together, the solutions address three critical areas of laboratory operations: analytical performance, instrument productivity and workflow execution.

The Agilent 9500 Triple Quadrupole ICP-MS helps laboratories generate reliable results across complex sample matrices. Designed for applications ranging from pharmaceutical testing and food safety to environmental analysis and advanced materials research, the system simplifies elemental analysis through new technologies that reduce analytical interferences and streamline operation.

The new Agilent 8890B and 8860B Gas Chromatography Systems with GC Assist help laboratories keep instruments running efficiently through built-in monitoring, diagnostics and guided maintenance. By identifying potential issues earlier and simplifying routine upkeep, the systems help reduce downtime, improve productivity and support data quality.

OpenLab Sync digitizes laboratory procedures that are traditionally managed on paper, creating guided digital workflows that improve consistency, traceability and audit readiness. The solution helps laboratories standardize operations, reduce manual processes and address workforce and training challenges.

The products were unveiled today at a customer event in Mumbai that brought together scientists, laboratory leaders and quality professionals from the pharmaceutical, food, environmental, chemicals and research sectors. Mike Zhang, President, Applied Markets Group, Agilent Technologies, and Bharat Bhardwaj, Vice President and General Manager, Asia Pacific, Agilent Technologies, joined customers and industry stakeholders to discuss evolving laboratory needs, workforce trends, and opportunities to make advanced analytical capabilities more accessible to a broader range of users.

“Innovation has the greatest impact when it makes life simpler,” said Bharat Bhardwaj, Vice President and General Manager, Asia Pacific, Agilent Technologies. “The pace of science continues to accelerate, and customers want solutions that help them spend less time managing complexity and more time focusing on scientific discovery. Our goal is to help laboratories unlock the full value of their technology investments so they can focus on delivering meaningful scientific outcomes.”

The new products are now available across India. As part of its ongoing efforts to make support and expertise more accessible, Agilent has also introduced WhatsApp for Business in India, providing customers with an additional channel to connect with Agilent for information, service and support.

About Agilent Technologies

Agilent Technologies, Inc. (NYSE: A) is a global leader in analytical and clinical laboratory technologies, delivering insights and innovation that help our customers bring great science to life. Agilent’s full range of solutions includes instruments, software, services, and expertise that provide trusted answers to our customers’ most challenging questions. The company generated revenue of $6.95 billion in fiscal year 2025 and employs approximately 18,000 people worldwide. Information about Agilent is available at www.agilent.com. To receive the latest Agilent news, subscribe to the Agilent Newsroom. Follow Agilent on LinkedIn and Facebook.

7 in 10 Indian Banks Run AI in Production; Security and Control, Not ROI, Is Now the Main Brake on Scale: Zeta Survey

7 in 10 Indian Banks Run AI in Production; Security and Control, Not ROI, Is Now the Main Brake on Scale: Zeta Survey

Survey of 40 CXOs across 18 leading banks and NBFCs finds AI live in bounded, reviewable use cases, with roughly three-quarters of technology and risk leaders naming security and data privacy as the leading barrier to going further.

Most banks direct less than 10% of new-project technology spend to AI, and four in ten digital leaders cannot yet point to a high-ROI use case, pointing to value that is real but not yet repeatable.

Zeta today announced the findings of its 2026 CXO survey on the state of AI in Indian banking, based on responses from 40 CXOs across 18 leading banks and NBFCs. AI is now in production at most institutions: 70% of CDO respondents place their banks at selective or scaled deployment, including 30% at scaled deployment. Adoption is strongest in bounded, reviewable areas such as customer service, fraud and risk analytics, document processing and software testing. Integration into end-to-end workflows and consequential decisions is at an earlier stage.

The survey points to a clear divide between piloting AI successfully and deploying it repeatably at scale. Banks have proven that AI works in production. What remains harder is reproducing that success across the institution without rebuilding data, integrations and controls for every new use case. The technology estate is more connected than ever, but the capabilities that make it usable by AI, from permissioned data and AI-operational infrastructure to engineering controls, governance and skills, are developing at different speeds.

Investment reflects this. Most institutions surveyed direct less than 10% of new-project technology spend to AI, including some with AI across multiple functions. The survey suggests this is not a lack of conviction: lack of ROI clarity is the lowest-rated barrier, and executive scepticism and employee resistance rank below skills and security. Banks are measured because control, not appetite, sets the pace.

Key findings from the survey

AI is creating meaningful operational impact, but it remains concentrated in structured workflows.

• - 88% of COO respondents identify retail lending as an area where AI is delivering meaningful impact.
• 75% cite customer service.
• 63% each cite CASA and back-office operations.

Banks are confident about data availability; making it usable for AI is the harder problem.

• 80% of CIOs and CTOs describe their data environment as mostly ready for AI at scale.
• 61% point to insufficient labelled or training data.
• 53% to privacy and consent.
• 46% to siloed data.
• 67% are using or piloting AI to enhance or enrich their data.

Technology assets are connected; making them operable by AI is the next step.

• Real-time data platforms and API-first architectures: 79% adoption.
• Core modernisation and cloud: 64%.
• Advanced analytics and MLOps: 43%.

AI has a foothold in software engineering; adoption thins as AI moves from producing to executing.

• 80% report using AI in testing and QA.
• 60% in code generation.
• 40% in code review.
• 30% each in specifications, documentation, deployment, CI/CD, and incident detection.

Banks are preparing to take AI into consequential decisions; governance is developing alongside.

• 60% of CROs identify AI-led credit-risk models, predictive early-warning systems and real-time fraud decisioning as top priorities.
• 60% say Responsible AI frameworks are under development.
• 20% describe model-risk management as very mature.

AI is changing work before it changes workforce size; internal capability-building is catching up.

• Half of operations leaders expect AI-led productivity gains to release capacity for redeployment.
• None expect workforce reductions above 20%.
• Banks are building AI skills faster through specialist hiring (3.33/5) and external partners (3.0/5) than internal development (1.0/5).

From selective production to repeatable scale

Taken together, the findings suggest Indian banking has moved past the challenge of taking AI from experiment to production. Production adoption is real but selective, concentrated where the problem is well understood, outcomes can be reviewed and existing controls contain the consequences of error.

The question now is whether banks can take what works in these settings and reproduce it across the institution without rebuilding the surrounding data, integrations, controls and engineering practices each time. The survey indicates that this depends on two shared foundations rather than more individual deployments: a core that AI can use, with banking meaning and permissions travelling with the data, and a control layer that establishes what AI may access, decide and execute and keeps a record of it.

“Indian banks have shown that AI creates value in production. The next challenge is making that success repeatable, and the survey is clear about what stands in the way: not conviction, but control,” said Sivaram Kowta, President, Zeta India.

About the Survey

Zeta's 2026 CXO survey on AI in Indian banking draws on responses from 40 CXOs across 18 leading banks and NBFCs, including CIOs, CTOs, CDOs, CROs and COOs. It examines AI adoption and the institutional capabilities required to scale it across data and infrastructure, operations and workflows, engineering and SDLC, governance and trust, and workforce and organisation.

About Zeta:

Zeta is a next-gen banking technology company. Its cloud-native and fully API-enabled platform supports card processing, issuing, lending, core banking, fraud management, loyalty programs, digital banking apps, and more. With over 1,700 employees globally, Zeta empowers financial institutions to innovate and rapidly launch compliant financial products. Globally, customers have issued over 25M cards using Zeta’s platform.

Media Contact:
Aafia Feroze | [9902491526](tel:9902491526) | aafiaf@zeta.tech