For years, companies have been racing to integrate AI into their products, driven by the promise of enhanced capabilities and streamlined processes. Yet, beneath the excitement lies a challenge that few have been able to solve—how do you really know if your AI will work as expected once it’s out in the world?
This is the problem that Vikram Chatterji, co-founder and CEO of Galileo, set out to solve when he started the company three years ago. “If you don’t solve for this, you’re stuck in almost-production land,” Chatterji says, highlighting the significant barrier that many enterprises face in taking their AI from testing to full deployment. Galileo’s mission has been clear from the start: to provide a scalable, reliable way for enterprises to evaluate their AI systems, en
“If You Don’t Solve This, You’re Stuck in Almost-Production Land” — Galileo CEO on Raising $45M to Fix AI’s Biggest Challenge
- By Anshika Mathews
- Published on
We started Galileo to solve AI’s measurement problem, specifically with a focus on language models.
