We build where AI learns to work
Labelbox builds the RL environments the world’s leading AI labs train in, and Recursion, the platform enterprises use to run fleets of agents on their hardest work. We are a technology company, founded in 2018 and profitable, built on a conviction most of the industry has not caught up to yet: the models that matter will be the ones that learn by doing the work.
- 2018Founded
- San FranciscoHeadquarters
- $189MRaised to date
- ProfitableSelf-sustaining business
- 90%+of leading U.S. AI labs
One conviction, three chapters
- 01
Software for the people building AI
Labelbox began in 2018 as tools for machine learning engineers, built by people who had hit the wall themselves. It became the platform teams used to build their training data, and it taught us early that the winners in AI would be the ones who took the data problem seriously.
- 02
Environments, not just data
Horizon builds the environments and evals frontier labs post-train in: simulated software, expert-written graders, tasks with real stakes. Models stop being told the answer and start practicing the work.
- 03
Agents that do the work
Recursion is our platform for enterprises: give a fleet of agents a goal and they do the work across your systems. Every run is scored, and the best runs train specialist models that beat general-purpose AI on your tasks. The company whose agents improve fastest wins.
Backed for the long run
Backed by investors who fund category-defining infrastructure: Kleiner Perkins, Andreessen Horowitz, B Capital, First Round, Gradient, Databricks, SoftBank Vision Fund and Snowpoint.
What we believe
Three principles we hold harder than most. They decide who we build for, how we think, and the standard we refuse to lower.
Make customers win
We exist to make our customers’ models and agents better. Their wins at the frontier are the only scoreboard we keep.
Seek to understand
The obvious answer is usually wrong. We go to the source, ask first, and build from what we learn rather than what the industry assumes.
Craftsmanship
Do a few things remarkably well. Craft is the balance between the ideal and the constraint, and we stay in the problem until we find it.
We started Labelbox because we love building products, and because we had lived the problem. We had been building machine learning systems ourselves, fighting tools never designed for the job, and we could see every team about to work on AI would hit the same wall. So we built what we wished we had. Years later we did it again. We wanted to reimagine Labelbox as an AI-native company, and no platform existed that could run agents the way we needed, so we built Recursion for ourselves first. Today every internal agent at Labelbox runs on it. The conviction has not changed: the people closest to the problem should build the tools, ship them fast, and hold them to a standard nobody else will. That is Labelbox.
Manu Sharma
Co-founder & CEO
Come do your life’s work at Labelbox
We run like an early-stage company: small teams, real ownership, decisions made fast. We hire people who would rather be right than comfortable, and hand them the frontier of AI to work on. If that sounds like you, there is a seat here.
