Parametric
Fall 2025 · Active
Robots for frontline physical labor — starting with laundry
Location: San Francisco, US
Founded: 2025
Team size: 2
About
Existing robots learn generic averages from massive datasets. Our robots learn from customer feedback.
We solve the RL feedback loop for robotics, allowing our robots to learn from your specific standards via an automated reward pipeline that combines customer feedback with an intelligent judge model. This is the only way to capture the multi-trillion dollar “long tail” of unique, high-aggregate-value business tasks.
Founders
Cody SwainCo-Founder & CEO
Led model ROI and offline simulation for recommendations at Facebook. Prior to this, founded a stablecoin wallet company and worked on zk-SNARK identity proofs.
John NewsomFounder/CTO
Led the self-driving team at Parallel Systems and worked as a researcher at BAIR focused on robotics, world models, and large language models.