Probably has raised $9 million to build AI systems that reduce hallucinations and factual errors before they reach users, TechCrunch reports. The company’s pitch is reliability closer to deterministic software rather than probabilistic model behavior.

That problem sits at the center of enterprise AI adoption. Many useful AI products are blocked not by capability, but by whether users can trust outputs in high-stakes workflows.

If Probably can make verification and correction practical, it would fit a growing market for reliability layers around general-purpose models.