Wipro Limited’s venture arm has invested in Labelbox, a San Francisco company that supplies training data and tools to AI developers. The two firms also announced a strategic partnership on Nov. 10, 2026.
The deal aims to help large companies move AI agents from test projects into daily operations. Wipro will pair its consulting teams with Labelbox’s reinforcement learning tools to reach that goal.
Wipro Ventures took part in Labelbox’s recent Series E funding round. The announcement did not state the size of the round or the amount Wipro invested.
Engineers on the Ground
Wipro will assign forward-deployed engineers, known as FDEs, to work directly with clients. These engineers will help choose which workflows to automate and connect AI systems to existing business tools.
The FDEs will also capture expert knowledge from client staff and measure how the systems perform. Customers will keep control over permissions, standards, and sensitive actions.
The first use cases focus on practical tasks. They include spotting data-quality problems, rerunning evaluations when models change, and comparing experiments to recommend a next step.
Malay Joshi, CEO of Americas 1 at Wipro Limited, said reinforcement learning will play a growing role as companies adopt more advanced AI systems. “We are giving clients a faster, governed path from promising pilots to production results they can measure,” he said.
Labelbox’s tools will be integrated into Wipro Intelligence, Wipro’s suite of AI platforms, solutions, and services. Wipro describes itself as a global AI-powered technology services and consulting company.
What Labelbox Brings
Labelbox runs managed enterprise agents, reinforcement learning environments, and evaluations on one platform. The company says its technology is built around each organization’s own workflows, systems, knowledge, and standards.
Its Recursion product lets agents coordinate work across business applications. It also shows the evidence behind each result and keeps lessons from work that people have reviewed.
Its Horizon product provides reinforcement learning environments and evaluations. These cover reasoning, coding, tool use, and computer use.
Labelbox said the two products work together as a feedback loop. Within that loop, AI systems can be tested, governed, and improved through experience.
Labelbox CEO Manu Sharma said the partnership will help enterprises turn their knowledge and workflows into AI systems that can be “rigorously evaluated, continuously improved, and deployed responsibly at scale.” He added that the goal is AI agents that learn from experience and deliver measurable outcomes.
Labelbox calls itself a data factory for frontier model development. It says more than 80% of leading U.S. AI labs and hundreds of enterprises worldwide use its services.
The company provides software, managed services, and a network of experts to help clients create high-quality training data. Its existing backers include SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins.
Wipro Ventures now joins that list of investors through the Series E round. The partnership and investment were announced together in San Francisco on Nov. 10.
