Labelbox raises $100M+ in Series E
Insights on AI research, reinforcement learning, evaluations, and enterprise AI systems
We’ve raised more than $100 million in Series E financing at a $1.25 billion pre-money valuation, led by Infinitum Partners. Here’s what we’re building, and why we think the next AI systems will improve themselves.
Manu Sharma•October 14, 2026
Takeaways on the themes and research directions likely to shape the year ahead. We focus on two core areas how to rigorously measure AI capabilities and how to build interactive systems that learn through experience over time.
Labelbox•December 16, 2025
Most real-world tasks are underspecified. We introduce Implicit Intelligence to test whether agents can infer hidden constraints, and Agent-as-a-World, a simple YAML framework for simulating environments without brittle, hard-coded worlds.
Ved Sirdeshmukh•November 21, 2025
Today we’re launching Labelbox Applied Research with three flagship pillars: Labelbox Evals for unified model evaluation, Labelbox Agents for building reliable and interpretable agents, and Labelbox Robotics (LBRx) for delivering high-quality training data for advanced robotic manipulation.
Labelbox•November 19, 2025
We've released a research paper on R-ConstraintBench, a novel benchmark for evaluating LLM reasoning on realistic resource-constrained project scheduling problems (RCPSP), a well-known NP-complete challenge.
Labelbox•August 22, 2025
Labelbox Evaluation Studio unlocks a private, real-time platform where top AI teams unlock tailored insights, instantly spot strengths and weaknesses, and accelerate faster frontier model improvements.
Labelbox•August 5, 2025
Meet Labelbox's MMC editor now with MCP support which enables human-in-the-loop evaluation by making it easy to inspect, label, and correct agentic-tool interactions.
Labelbox•July 24, 2025
Introducing Labelbox’s deep research leaderboard: an open, continuously‑updated scorecard that shows showing how top AI agents like OpenAI, Google, and Anthropic perform on long-form research tasks.
Labelbox•July 21, 2025
Our latest report examines the emerging expert economy driving frontier AI, detailing the backgrounds and disciplines of these knowledge workers and their impact on cutting-edge AI systems. It also covers their earnings and the high-skill data crucial for the next stage of AI development.
Labelbox•July 17, 2025
We tested rubric-based rewards and GRPO on a real-world e-commerce task and found they outperformed sparse rewards by 300%. This helps validate their effectiveness for complex, multi-step business workflows.
Labelbox•July 1, 2025
Agentic AI is emerging as a new frontier in autonomy, where models can plan, adapt, and take action independently. In this post we highlight three real-world projects with leading AI labs, from multi step tool use to structured reasoning and dynamic instruction following.
Labelbox•June 30, 2025
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