About
🌍 Mission, ambition & context
The promise of AI agents is still unmet in complex, real-world business environments. Our mission is to make it possible to evaluate and train AI agents in real business settings, so they can reliably accomplish concrete, useful tasks.
Concretely, we build reinforcement learning environments that evaluate and train agents in realistic, complex contexts. You can think of them like video-game environments: a set of tools, a real-world dataset as a starting point, a list of tasks to accomplish, and evaluation agents deployed to measure how well tasks are performed. A core part of our work is building these real-world datasets (acquisition, anonymization, enrichment).
Our goal: become the data & RL partner of choice for the labs and companies deploying agents.
Our traction speaks for itself: we've signed contracts with the two largest AI labs in the world, alongside recent partnerships with several smaller labs, all while being 100% bootstrapped. This summer, we're joining Y Combinator, which will accelerate everything.
👥 Team: 3 co-founders (Pierre-Louis – CEO; Grégoire – CPO & COO; Thomas – CTO) + 1 ML engineer
🤝 Our values
Trust - the foundation of every relationship, internal and external. We extend it by default and value the ownership that comes with it.
Ambition - we commit, we move fast, with tenacity and efficiency.
Collective - team first, low ego.
Kindness - at the heart of every interaction.
We're building a solid, aligned, and motivated team.