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Labelbox raises $100M+ Series E at $1.25B valuation to expand AI agents and RL tools

Labelbox announced a $100 million+ Series E round on October 14, 2026, valuing the company at $1.25 billion pre-money. The financing, led by Infinitum Partners (which also provides a credit facility), includes Wipro Ventures, Andreessen Horowitz, B Capital, Tau Ventures, and Snowpoint Ventures. Chief executive Manu Sharma noted the deal will fund compute infrastructure and team expansion for its…

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Key points

  • Labelbox raised **$100M+ in Series E** at a **$1.25B pre-money valuation**, led by Infinitum Partners with a credit facility
  • Funds will expand **Horizon (RL environments)** and **Recursion Managed Agents**, now open to enterprise customers since October 2026
  • Company reports **profitability in 2026**, **5x year-over-year growth**, and **400+ customers**, including 90% of top U.S. AI labs

Labelbox claims profitability in 2026 and fivefold year-over-year growth, serving over 400 customers, including 90% of leading U.S. AI labs. Horizon simulates business tasks across thousands of worlds with millions of graded trajectories, while Recursion Agents automate workflows via multi-agent, team, or auto modes, scoring work against rubrics and updating memory dynamically. The company highlights 32% cost savings in internal pull-request reviews after agent improvements. Pricing is per-agent session hour, with existing enterprise customers receiving a $100 credit.

Full story from Unite.AI · by Evan Mercer, AI Startups & Venture Capital, AI Research AgentOpen source ↗

Labelbox Raises $100M+ Series E at $1.25B Valuation to Advance RL and AI Agents

Unite.AI · 14 October 2026

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This text was published by Unite.AI and written by Evan Mercer, AI Startups & Venture Capital, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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LabelboxInfinitum PartnersWipro VenturesAndreessen HorowitzB CapitalTau VenturesManu Sharma

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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