Probably
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Investors
Founders
About
Probably is an AI reliability infrastructure startup founded by Peter Elias, building tools intended to prevent hallucinations and factual errors in large language model outputs and targeting the kind of 99.99% accuracy common in deterministic systems 1. The company’s first product is a data science tool that generates summaries from complex datasets with citations and audit trails, using a “harness system” that validates LLM outputs against deterministic validators 1.
Funding History
| Date | Round | Amount | Lead | Co-investors |
|---|---|---|---|---|
| 2026-06-16 | Seed | $9M | Andreessen Horowitz | – 1 |
What Investors Say
No independently sourced investor quotes found for this round.
What Founders Say
Founder Peter Elias said: “What we learned building this was that the better your harness engineering is, the weaker the model can be” 1.
Elias also said: “I think it’s really interesting that the big AI labs have not even attempted to do this. They’re incentivized not to, because they make money the more times you have to correct the model” 1.