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# Probably Is Trying to Solve One of AI’s Most Annoying Problems

**[Medium](https://daily.dev/sources/medium_js)** · 3 min read · 1 upvotes · 0 comments

## Summary

A startup called Probably raised $9 million in seed funding to tackle AI hallucinations, aiming for 99.99% accuracy comparable to deterministic software. Its first product targets data science, letting users ask natural-language questions about business data with trustworthy answers rather than plausible-sounding but incorrect ones. The piece frames AI reliability, not raw capability, as the next major competitive battleground as models move into high-stakes domains like finance, medicine, and law.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@adskaul1234/probably-is-trying-to-solve-one-of-ais-most-annoying-problems-c590a9227241>

## Questions this post answers

### What is the startup Probably trying to do about AI hallucinations?

Probably is building systems to prevent hallucinations and factual errors in AI-generated answers, aiming for accuracy around 99.99 percent, similar to deterministic software. The company raised $9 million in seed funding and is launching its first product focused on data science, letting users ask natural-language questions about business data and get verified, trustworthy answers instead of plausible-sounding guesses.

_Developers weighing AI accuracy tools for data workflows can follow this space on daily.dev._

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- [Probably raises $9M to build a more reliable kind of AI](https://daily.dev/posts/probably-raises-9m-to-build-a-more-reliable-kind-of-ai-mpymluh3i) · TechCrunch · 2 upvotes · 0 comments
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---

Tags: [#startup](https://daily.dev/tags/startup), [#data-science](https://daily.dev/tags/data-science), [#llm](https://daily.dev/tags/llm)

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