Wipro Limited has partnered with Labelbox, the San Francisco-based AI training data and reinforcement learning company, to help enterprises move AI agents from pilots into production, the companies announced on 10 November 2026. Wipro Ventures, Wipro’s corporate investment arm, also confirmed it took part in Labelbox’s Series E funding round.

The deal adds to a run of agentic AI tie-ups by Indian IT services firms, such as the LTM and ServiceNow agentic AI partnership for 700 clients, as enterprises look for agents that can be measured and governed at scale.

What the Wipro Labelbox partnership covers

Under the partnership, Labelbox’s reinforcement learning capabilities will be integrated with Wipro Intelligence, Wipro’s unified suite of AI-powered platforms, solutions and offerings. The aim is AI systems that learn from an organisation’s own workflows, knowledge and standards rather than relying on a general-purpose model alone.

Wipro’s forward-deployed engineers (FDEs) will work inside client teams to pick workflows, integrate systems, capture domain expertise and measure performance. Customers keep control over permissions, standards and sensitive actions, according to the joint announcement.

The first use cases named by the companies are:

• Identifying data-quality issues in enterprise systems
• Rerunning evaluations automatically when underlying models change
• Comparing experiments and recommending the next step

How Labelbox Recursion and Horizon fit in

Labelbox combines managed enterprise agents with reinforcement learning environments and evaluations on one platform. Its Recursion product lets agents coordinate work across business applications, show the evidence behind each result and retain lessons from reviewed work. Its Horizon product provides reinforcement learning environments and evaluations for reasoning, coding, tool use and computer use.

“Through our partnership with Wipro, we look forward to helping enterprises turn their knowledge, workflows, and standards into AI systems that can be rigorously evaluated, continuously improved, and deployed responsibly at scale,” said Manu Sharma, CEO of Labelbox.

Malay Joshi, CEO of Americas 1 at Wipro Limited, said reinforcement learning will play a growing role in models that handle complex real-world work. “By bringing Labelbox’s reinforcement learning capabilities with Wipro Intelligence, and pairing them with our FDEs, we are giving clients a faster, governed path from promising pilots to production results they can measure,” he said. Joshi has led the unit since he became CEO of Wipro’s Americas 1 strategic market unit in 2024.

Wipro Ventures backs Labelbox’s Series E

Labelbox announced on 14 October 2026 that it had raised more than $100 million in Series E financing, including equity and a credit facility. The round was led by Infinitum Partners, with Wipro Ventures, Andreessen Horowitz, B Capital, Tau Ventures and Snowpoint Ventures among the participants. Labelbox says it works with more than 400 customers and reached profitability in 2026.

Why it matters for enterprise AI in India

Indian IT services firms are racing to show clients that AI agents can deliver measurable results under human control. A TCS enterprise AI study found only 10% of firms let AI agents act alone, which makes governance and evaluation the main selling points. The forward-deployed engineer model, also used in the Coforge and SpaceXSI Grok partnership, is becoming a common way for services firms to package that promise.

For Wipro, the tie-up pairs an equity stake with a delivery role, giving it a direct line to reinforcement learning tools used by frontier AI labs.

Key takeaways

• Wipro and Labelbox announced a partnership on 10 November 2026 to scale enterprise AI agents that learn from experience.
• Labelbox’s reinforcement learning tools will plug into Wipro Intelligence, with Wipro’s forward-deployed engineers handling integration.
• Wipro Ventures invested in Labelbox’s $100 million-plus Series E round, led by Infinitum Partners.

Featured image: Wipro’s Electronic City campus in Bengaluru. Photo: Ramesh NG via Wikimedia Commons (CC BY-SA 2.0)

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