Technology

Technology, Artificial Intelligence,Blockchain, Generative AI,

Business

Business, Automobile, Banking, Energy, Merger & Acquisition, Startups, Telecommunications,

GAMING & GADGETS

Gaming & Gadgets, gadgets, Online Gaming,

SCIENCE

Science

Jupiter International Adds 1.25 GW TOPCon Unit at Baddi, Expands Solar Cell Capacity to 3.25 GW

Jupiter International Adds 1.25 GW TOPCon Unit at Baddi, Expands Solar Cell Capacity to 3.25 GW
  • Marks the company’s transition from scaling capacity to scaling advanced capability in high-efficiency solar cells in Baddi – Himachal Pradesh
Jupiter International Limited, one of India’s leading solar cell manufacturers, has inaugurated its Unit IV at its Baddi manufacturing campus in Himachal Pradesh, adding 1.25 GW of TOPCon (Tunnel Oxide Passivated Contact) solar cell manufacturing capacity and expanding its total solar cell manufacturing capacity from 2 GW to 3.25 GW.

Unit IV marks a significant technology step-up for Jupiter International, strengthening its ability to deliver next-generation, high-efficiency solar cells at scale as the market increasingly shifts toward higher efficiency benchmarks and performance-led procurement.

This milestone builds on Jupiter’s recent expansion at Baddi, where the company added 1 GW of mono PERC solar cell manufacturing capacity earlier this year, taking its total installed capacity to nearly 2 GW. TOPCon technology is widely regarded as the next phase of mainstream solar cell manufacturing, offering higher efficiency potential and improved long-term performance. With Unit IV, Jupiter accelerates its transition from scaling capacity to scaling advanced manufacturing capabilities.

Commencement of production at Unit IV baddi will be a defining step in Jupiter’s technology journey. By bringing 1.25 GW of TOPCon capacity into production, we are scaling next-generation cell technology that raises the bar on efficiency and long-term performance. We are doing this with a clear focus on manufacturing excellence, sustainability consciousness, and high-skilled job creation. It provides a technology platform on which jupiter is scaling up to build a 3 GW TopCon ++ performance fab to be commissioned in Nagpur at the end of the year, said Mr. Dhruv Sharma, Chief Executive Officer, Jupiter International Limited.

The ramp-up of Unit IV has been anchored in a quality-first, sustainability-conscious manufacturing approach, supported by disciplined process controls and manufacturing systems designed for consistent output at scale. The expansion is also expected to strengthen local economic impact in Himachal Pradesh, supporting a growing pipeline of high-skilled green jobs across production, process engineering, automation, quality, maintenance and EHS—backed by structured training and capability building.

With the Unit IV, Jupiter International continues to deepen its role in India’s clean energy transition by strengthening domestic solar cell capability and accelerating high-efficiency technology adoption at scale.

Ex-Infosys CEO Vishal Sikka Launches AI Startup Hang Ten with $32M Backing

Ex-Infosys CEO Vishal Sikka Launches AI Startup Hang Ten with $32M Backing

Former Infosys CEO Vishal Sikka has launched a new AI startup, Hang Ten Systems, headquartered in Palo Alto, California, with $32 million in seed funding led by Mayfield and backed by Aramco Ventures, announced Vishal in a post on X.

The company is already working with global enterprises like Fresenius and Siemens Energy to accelerate AI adoption. "Our dream is to help enterprises not just transform with AI, but use it as a force to do what no one could do before", said Vishal in the social media post. 

Hang Ten Systems: Key Highlights

  • Founder: Vishal Sikka, ex-CEO of Infosys and former CTO at SAP.
  • Funding: $32 million seed round led by Mayfield, with participation from Aramco Ventures and angel investors.
  • Location: Palo Alto, California.
  • Board Member: Yahoo co-founder Jerry Yang has joined the board.
  • Early Clients: Fresenius, Siemens Energy, and Siemens Gamesa Renewable Energy.

Business Model & Technology

  • AI-native delivery model: Uses agentic code generation, reusable skills libraries, and specialised engineering teams.
  • Focus Areas: Enterprise functions like finance, HR, and product development.
  • Goal: Reduce the time, cost, and complexity of enterprise software development compared to traditional IT services.
  • Vision: “Every company will be transformed by AI… most are stuck at the starting line, and the gap is widening every day,” said Sikka.

Comparison: Hang Ten vs Traditional IT Services

Hang Ten SystemsTraditional IT Services
AI-native delivery modelManual configuration & integration
Agentic code generationLong development cycles
Reusable skills librariesCustom coding per client
Faster enterprise adoptionSlower, costlier implementation
Early clients: Fresenius, Siemens EnergyEstablished IT outsourcing clients

Industry Context

  • Indian IT firms like Infosys and TCS have thrived on SaaS, but AI threatens to disrupt this model.
  • Hang Ten Systems positions itself as an AI-native alternative, potentially reshaping enterprise IT services.
  • Market Outlook: Infosys predicts AI-first IT services could reach $400 billion by 2030.

Challenges Ahead 

  • Enterprise adoption gap: Many firms still struggle to extract value from AI investments.
  • Competition: Established players (Infosys, TCS, Accenture) are also investing heavily in AI.
  • Scalability: Hang Ten must prove its model works across industries and geographies.
To recall, Vishal Sikka also launched Vianai Systems in 2019 after he left Infosys. Vianai focuses on AI-powered decision-making tools for enterprises. Similar to Hang Ten Systems, Vianai Systems also emerged from stealth with $50M seed funding, later raised $140M in 2021 led by SoftBank Vision Fund 2.

Both Vianai and Hang Ten target large corporations struggling to extract value from AI.

Besides, as Infosys CEO, Vishal Sikka oversaw a $3M donation to OpenAI nearly a decade ago (2015), long before ChatGPT’s rise demonstrating his early recognition of AI’s transformative potential. Infosys considered a $1 billion investment in OpenAI, alongside Amazon Web Services, Elon Musk, and Sam Altman. However, the plan was scrapped due to disagreements between co‑founder N. R. Narayana Murthy and Vishal.

Timeline of Vishal Sikka’s Startup Bets

YearStartupFocusFunding
2016Infosys donation to OpenAIAI research$3M
2019Vianai SystemsEnterprise AI decision-making$50M seed, $140M Series A
2026Hang Ten SystemsAI-native enterprise software delivery$32M seed

India Pushes BRICS Space Alliance as Strategic Global Growth Driver

India Pushes BRICS Space Alliance as Strategic Global Growth Driver


Union Minister Dr. Jitendra Singh pitched the idea of a BRICS Space Economy as the next frontier of global growth, urging member nations to embrace collective action to unlock new opportunities in innovation, investment, entrepreneurship, and sustainable development.

The future of the space economy will not be shaped by nations working in isolation. It will be shaped by partnerships, shared innovation and collective ambition. - Dr. Jitendra Singh 

Dr. Jitendra Singh said the BRICS Remote Sensing Satellite Constellation has already demonstrated the value of collaborative space applications through satellite data sharing among member countries. He expressed confidence that ongoing discussions on institutional mechanisms, including the proposed BRICS Space Council, would provide greater momentum and continuity to future cooperation in the space sector.

Key Highlights of the Meeting

  • Indian Space Industry Brochure released, showcasing the country’s growing NewSpace sector.
  • Exchange of mementoes and interactions with Indian startups and private enterprises.
  • Participation from Brazil, China, Egypt, Ethiopia, Indonesia, Iran, Russia, South Africa, and the UAE under India’s BRICS Chairship 2026.
  • Deliberations on space sustainability, debris‑free missions, strengthening the BRICS Remote Sensing Satellite Constellation (RSSC), and advancing discussions on the proposed BRICS Space Council.
  • Collaboration prospects in disaster management, Earth observation, capacity building, and knowledge sharing.

India’s Space Achievements

India’s transformative reforms in the space sector have opened unprecedented opportunities for private industry, startups, academia, and global partnerships. Landmark missions such as Chandrayaan‑3, Aditya‑L1, and the ongoing Gaganyaan mission were cited as examples of India’s expanding frontiers in science and technology.

Sustainability and Global Challenges

The Minister stressed that the long‑term future of space activities depends on preserving outer space as a safe, secure, and sustainable domain. He welcomed discussions on debris‑free missions and sustainable operations as vital steps toward safeguarding the space environment for future generations.
He also linked space technology to solutions for pressing global challenges such as climate change, disaster preparedness, food and water security, and sustainable urbanization.

From Coordination to Co‑Creation

Calling for a more ambitious vision, Dr. Singh urged BRICS nations to move beyond consultation toward co‑development, co‑innovation, and co‑creation. By bringing together scientists, engineers, industries, startups, and young innovators, BRICS can develop solutions for global challenges, create new economic opportunities, and build a stronger framework for scientific advancement and shared prosperity.

Conclusion

India reaffirmed its commitment to working closely with BRICS partners to transform shared aspirations into concrete outcomes. Dr. Singh’s vision positions space not only as a driver of economic growth but also as a powerful force for resilience, sustainability, and international cooperation.

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

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/

PayU Unveils AI-Native Builder MCP and CLI Tools to Revolutionize Payment Integrations and Operations

  • PayU CLI brings payment management and operational workflows to a single command terminal, enabling creation of payment links, query generation, settlement reports, etc. without any dashboard navigation.
  • PayU Builder MCP enables developers and AI builders with production-grade code, powering payment gateway integrations in hours instead of days.
PayU, India's leading diversified fintech platform, today announced the launch of two powerful developer tools designed for modern payment workflows: PayU CLI, a command-line interface designed for payments management and operations and Builder MCP, an AI-native server enabling faster and seamless payment gateway integrations. The tools address two distinct challenges facing modern development teams - integrating payment gateway quickly and managing payment operations efficiently without dashboard dependency.

PayU Builder MCP is designed for developers and AI builders looking to integrate PayU's payment gateway quickly and efficiently. By connecting AI-coding assistants such as Cursor, VS Code and Claude Desktop to PayU's APIs, Builder MCP can generate production-ready integration code in 7+ languages, including PHP, JavaScript, Java, Python, Kotlin and Swift. Unlike traditional documentation or sample code repositories, it delivers production-ready code with error handling, webhook verification, and security best practices built in. Developers can browse integration catalogues, retrieve platform-specific code and search documentation semantically without leaving their IDE, thereby, enabling integrations in hours rather than days.

On the other hand, PayU CLI is built for developers and operations teams that manage payment workflows on a day-to-day basis. Instead of navigating multiple complex web dashboards, teams can perform operational tasks directly from the command line. Using PayU CLI, users can create and send payment links, search and filter transactions, process refunds, review settlements, and generate reports through terminal commands. The tool also supports multi-account management and seamless switching between test and production environments, making it particularly useful for DevOps teams to manage multiple merchants.

"AI has fundamentally transformed software development and AI agents have become a more nuanced part of everyday developer workflows. Merchants and their tech teams are now looking for a payment partner that provides lightning-fast product integrations, operational flexibility and enhances developer productivity. Our new CLI and Builder MCP tools solve for each of these requirements by bringing PayU’s payment infrastructure to where developers work - in the terminal. This is just first of our steps in this direction”, said Narendra Babu, CTO, PayU. 

While the two tools address a different use case, they complement one another across the payment lifecycle. Developers can use Builder MCP during implementation to generate integration code through their AI assistants and deploy payment experiences faster. Once live, teams can use PayU CLI to manage operational workflows such as transaction monitoring, payment link creation, settlement tracking and refunds, all without leaving the terminal.

Here's a typical workflow: A developer at merchant’s end using Cursor asks Builder MCP for PayU checkout integration code and receives copy-paste-ready JavaScript with error handling, shipping the integration from days to within hours. Whereas, the operations team managing multiple merchant accounts uses PayU CLI for routine operations by simply giving instant commands from the terminal without dashboard navigation, like – create an INR 5,000 payment link or check transaction status or get yesterday’s settlement, etc.

Market Reports

Market Report & Surveys
IndianWeb2.com © all rights reserved