Probably raises $9M to build a more reliable kind of AI
Startup Probably has raised $9 million to develop AI tools that prioritize accuracy and reliability over raw model power. By using a 'data science mech suit' of deterministic validators, the company aims to eliminate hallucinations in LLM outputs.
Why it matters
Addressing AI hallucinations is a critical hurdle for enterprise adoption, as businesses require high-precision, verifiable data processing.
As LLMs have grown more powerful, hallucinations have proven stubbornly difficult to avoid. Errors pop up in even the smartest models, and while there are ways to catch those errors, the industry is still figuring out the best way to do it.
The article focuses on technical innovation and startup funding without political or social bias.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in