Matrices builds training environments for LLM-based agents, providing controlled spaces to train and evaluate agent behavior on realistic computer-use tasks; the company earlier built an AI spreadsheet that orchestrates parallel agents to automate research and workflows. Co-founded by John Qian, previously an engineer at Adept and Weights & Biases; founded in 2023 and based in San Francisco.
Funding
$250K total raised