Petrichor Bio
Petrichor operates a wet lab built for AI-driven biological experimentation, running thousands of tests in parallel and streaming results back to models in real time. The company positions itself as a foundry for AI labs, returning complete experimental records—including images, raw instrument data, and step logs—rather than just final results. All data remains proprietary to the commissioning client, with no training on customer data.
- Biotechnology
- Artificial Intelligence
Funding
Founders
Founder details are not available yet.
Product
Problem
AI labs are spending heavily to make model-driven scientific thinking cheap, but the cost of testing ideas in the physical world remains high. This creates a bottleneck where models generate experimental hypotheses faster than traditional labs can validate them, limiting the training signals available for scientific AI.
Solution
Petrichor operates a wet lab built specifically for AI models and the teams training them. The company runs experiments in parallel at a scale traditional contract research organizations cannot match, recording every step with photographs, raw instrument exports, and timestamped logs. Results stream back to the model during the run, allowing it to adjust its approach mid-experiment. Petrichor returns the complete experimental record—including failures—so models can learn from how a run unfolded, not just its outcome. All data remains proprietary to the commissioning client, with no sharing or training on customer data.
Target Audience
Primary customers are AI labs and research teams training models to design biological experiments, including frontier lab research teams, companies without wet lab capacity, and autonomous AI agents that need physical-world testing.
Features
- Parallel execution of many experiments simultaneously, organized around model needs rather than human researcher workflows
- Real-time result streaming during runs, enabling models to change plans before an experiment concludes
- Complete experimental records delivered post-run, including photographs of every plate and sample, raw instrument files, timestamped step logs, and documented failures
- Direct submission support for AI agents via plain language or structured job formats, with no human relay required
- Proprietary data handling with no training on customer data and no sharing with other labs