Building the Future of Reliable AI
AI systems will reinvent how work gets done, but non-deterministic LLMs introduce risk. The key to success is reliability. Teams need a new workflow that puts reliability at the heart of AI initiatives.
Driven to innovate
At Galileo, we believe that AI can be trustworthy, safe, and observable. We're helping builders create that future with workflows that span evaluation, monitoring, observability, and real-time guardrails. AI systems will only grow in complexity, and our mission is to sift through all the signals to help developers fix unexpected behaviors.
AI applications continue to change quickly. LLMs advance every week, and so do user expectations. It's hard to know if your app is ready for tomorrow. The key to success is continuous improvement, blocking mistakes in production and then immediately bringing that learning back into the development cycle. By bringing the power of evaluation to the whole development lifecycle, Galileo delivers a loop of fast feedback, so you can drive rapid improvement based on real user experiences.
There's no faster way to ship reliable AI applications.
Leadership
Galileo was founded in 2021 to pursue a vision of AI reliability. The founders saw first-hand that AI developers would only be successful when they could tame the unpredictable nature of LLM applications. The founders brought their collective experiences working with formative AI products, including Vikram's work on BERT models at Google AI, Yash's work with speech recognition at Google, and Atin's work with Uber AI and Apple Siri.
Perks and Benefits
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