The most impactful AI systems will be agents that can perform useful work in the real world autonomously over days and weeks. Instead of assisting humans with small, heavily supervised tasks, these systems will be able to exercise good judgement and operate fully autonomously. Building safe and capable autonomous agents is one of the most important challenges in AI, and will be the biggest unlock for the economic and scientific progress that this technology promises.
The main bottleneck to long-running agents is advanced simulation environments where agents can practice and improve through experience. We're excited to announce that Polymath has raised $8M in seed funding to build the environment layer for training & evaluating autonomous agents. The round was led by Base10 and Cervin Ventures, with participation from SurgePoint Capital, Founders Future, Berkeley Frontier Fund, Y Combinator, former YC partners, and other incredible investors and angels.
This funding will accelerate our work with frontier model labs, and enable us to scale our team. We're hiring engineers, researchers, and operators who want to work at the frontier of AI, and shape how the next generation of agents is trained. Thank you to our investors, partners, and early collaborators for trusting us with this mission. If you want to work on the hardest problems in agent reliability and autonomy, we encourage you to apply.
By Polymath Team