Wipro Limited has announced a strategic partnership with Factory, a leading agent-native software development platform, to help enterprises operationalize agent-native development across their engineering organizations. The collaboration aims to accelerate software development processes through AI-powered autonomous agents for global enterprises.

Strategic Partnership Details

The partnership integrates Factory's capabilities into Wipro's WEGA agent-native delivery platform to further enhance Wipro Intelligence™, the unified suite of AI-powered platforms, solutions, and transformative offerings. Factory's technology enables engineering teams to delegate meaningful portions of software development to AI agents called Droids across the development lifecycle.

Technology Capabilities

Factory's Droids enable feature development, refactors, migrations, testing and more to be completed at greater efficiency and scale while preserving existing engineering standards and architectural consistency. When implemented across an organization, these AI agents help create production-ready code and assist in shortening innovation cycles while enhancing code quality.

The technology represents a shift from autocomplete to delegation, putting orchestration and management of Droids into the hands of engineers. This approach enables teams to ship faster, improve code quality, and embrace a new philosophy of working with AI.

Investment and Market Position

Wipro Ventures, the corporate investment arm of Wipro Limited, participated in Factory's recent funding round. With assets worth over $500 million under management, Wipro Ventures focuses on investing in early to mid-stage enterprise software startups specializing in AI, Data, Cybersecurity, and Cloud technologies.

Leadership Perspectives

Sandhya Arun, Chief Technology Officer, Wipro Limited, stated that AI is reshaping how software is built across the enterprise with large scale transformation across engineering. She emphasized that the partnership reflects a broader shift among global enterprises from AI experimentation towards production-scale adoption.

Ali Wasti, Managing Partner, Wipro Ventures, noted that enterprises face immense pressure to innovate faster while maintaining quality and security. The investment reinforces Factory's strength as an enterprise-grade AI platform.

Matan Grinberg, Co-Founder and Chief Executive Officer of Factory, expressed excitement about partnering with Wipro to bring autonomous software development to global enterprises, highlighting the combination of Wipro's enterprise relationships and Factory's AI-native development platform.

Company Background

Factory, founded in 2023 and headquartered in San Francisco, is pioneering agent-native development as a new way of building software. The company is backed by investors including Wipro Ventures, Sequoia Capital, NEA, NVIDIA, J.P. Morgan, Abstract Ventures, Mantis VC, SV Angel, and BoxGroup.

Wipro Limited operates as a leading AI-powered technology services and consulting company with over 230,000 employees and business partners across 65 countries, delivering solutions that address clients' complex digital transformation needs.

Wipro 's much-anticipated turnaround continues to face execution challenges despite strong deal momentum and order book growth. Executive Chairman Rishad Premji acknowledged at the World Economic Forum 2026 in Davos that the road ahead remains "bumpy" as clients delay revenue ramp-ups despite signing new contracts.

Performance Highlights and Challenges

Speaking to CNBC-TV18, Premji outlined the company's mixed performance, noting that while Wipro met the midpoint of its guidance with strong margin expansion, forward guidance remained softer than market expectations. The primary challenge lies not in demand generation but in converting signed deals into revenue streams.

"I think this is a little bit about challenges around deals converting into revenue," Premji explained. "We've had a decent quarter. We were at the midpoint of our guidance, did a great job on margin expansion, but we've guided a little soft compared to what the market was expecting."

Market Dynamics and Client Behavior

The current slowdown stems primarily from customers postponing project scale-up timelines rather than canceling initiatives entirely. Premji emphasized that cost pressures continue across markets, with clients focusing on cost consolidation and vendor consolidation while pursuing transformation projects.

"There's always demand, but there's also pressure on cost," he noted. "The tipping point is when customers stop delaying the ramp-up. Once that delay unfolds, you'll start to see it."

Despite these challenges, Premji highlighted that the same cost pressures creating headwinds are also generating opportunities for vendors capable of delivering scale and efficiency. Wipro has secured its "fair share" of vendor consolidation deals, helping offset discretionary spending slowdowns.

AI Strategy and Wipro Intelligence Platform

Artificial intelligence remains central to Wipro's long-term transformation strategy. The company has consolidated its AI efforts under Wipro Intelligence, a unified suite built around three core pillars designed to address real organizational challenges rather than experimental use cases.

"The utility of technology is its implementability inside organisations," Premji emphasized. "How do organisations scale it and make it real inside them—that's where the opportunity is."

Every AI engagement at Wipro now anchors on one of these platforms, aimed at either improving delivery efficiency or enabling domain-specific client transformation. The approach focuses on deploying use cases deeply embedded in organizational data, workflows, and domain context.

Consulting-Led Approach and Domain Expertise

Wipro's AI strategy emphasizes a consulting-led approach, strengthened through strategic acquisitions including Capco. This focus on deep domain expertise, particularly in banking and financial services, energy, utilities, and consumer sectors, aims to make AI implementations more relevant and effective for clients.

"The whole journey is about leading an AI-led story that's very consulting-led," Premji explained. "Horizontal technology only creates value when it's applied with context and domain understanding."

The company continues to build capabilities in industries where it serves customers deeply and understands their processes comprehensively. This includes potential expansion through mergers and acquisitions in sectors where Wipro can demonstrate clear contextual value.

Outlook and Strategic Direction

Wipro's leadership maintains confidence in the company's strategic direction while acknowledging timing uncertainties. The active deal pipeline spans three key areas: transformation, cost optimization, and artificial intelligence, though execution timelines remain uneven across these segments.

"Once those delays in ramp-up start to ease, you will see the upside," Premji stated. "It may be a bit bumpy at times, but I'm hopeful."

For investors, the message emphasizes patience as the company works through near-term execution challenges while building foundational capabilities for long-term growth. The combination of strong order book growth and comprehensive AI platform development positions Wipro for future revenue conversion once client ramp-up delays subside.