Labelbox and Wipro Partner on AI Agents That Learn From Work

Labelbox said on November 10, 2026 that a new partnership with Wipro Limited will support production deployment of enterprise AI agents designed to learn from organizational experience.

Labelbox CEO Manu Sharma said the goal is to turn each customer’s knowledge, workflows and standards into AI systems that can be rigorously evaluated, continuously improved and responsibly deployed at scale. The companies will combine Labelbox’s reinforcement-learning technology with Wipro’s implementation teams and Wipro Intelligence, Wipro’s unified suite of AI-powered platforms, solutions and offerings.

Implementation and Customer Controls

Wipro’s forward-deployed engineers will support workflow selection, systems integration, domain-expertise capture and performance measurement. Their role covers the technical connections and the transfer of operational knowledge needed to fit agents into a customer’s existing processes.

The initial use cases focus on evaluation and maintenance: identifying data-quality issues, rerunning evaluations when models change and comparing experiments to recommend the next step. That gives the collaboration defined work beyond an initial launch, with checks tied to model changes and experiment results.

Customers will retain control over permissions, standards and sensitive actions. Malay Joshi, CEO of Americas 1 at Wipro Limited, said he expects reinforcement learning to play an increasingly important role in models built for complex, real-world challenges, describing the combined offering as “a faster, governed path from promising pilots to production results they can measure.”

Recursion and Horizon Provide the Learning Loop

Labelbox says organizations get managed agents, training environments and evaluation tools within one platform, configured around their own workflows, systems, knowledge and standards. Within Recursion, agents can coordinate tasks across business applications, expose the evidence behind each result and carry lessons forward from reviewed work. Horizon covers the training and assessment side, with reinforcement-learning environments and evaluations for reasoning, coding, tool use and computer use. The two products create a cycle for testing and governing systems while using work experience to improve them.

That architecture makes evaluation part of the agent’s operating cycle. Reviewed work supplies lessons for subsequent runs, while model changes can trigger fresh evaluations; Wipro’s performance measurement adds a deployment-level check on whether those systems are meeting enterprise requirements. Workflow selection and domain-expertise capture therefore shape which tasks agents perform, how results are assessed and what lessons carry forward.

Series E Funding Context

The investment connection was already in place before the partnership announcement. On October 14, 2026, Labelbox announced more than $100 million in Series E financing, comprising equity and a credit facility at a $1.25 billion pre-money valuation. Infinitum Partners led the round, with participation from Wipro Ventures.

The partnership’s central test is whether Wipro’s implementation teams can turn that architecture into measurable production results while preserving customer control over standards and sensitive actions.