
Galileo is the generative AI evaluation company that provides automation and insight to AI evaluations, enabling businesses to ship AI applications with confidence. Their platform offers automated evaluations to replace manual reviews with high-accuracy, adaptive metrics, facilitating rapid iteration by automating testing of numerous prompts and models. Galileo also provides real-time protection in production with metrics for accuracy, safety, and performance, blocking issues like hallucinations and prompt injections. The company offers flexible deployment options including SaaS, Cloud, and On-Premises. Galileo's solution is trusted by enterprises and loved by developers for its ability to solve the AI measurement problem, de-risk AI in production, and help control AI complexity by analyzing LLM behavior to identify failure modes and prescribe fixes.

Galileo is the generative AI evaluation company that provides automation and insight to AI evaluations, enabling businesses to ship AI applications with confidence. Their platform offers automated evaluations to replace manual reviews with high-accuracy, adaptive metrics, facilitating rapid iteration by automating testing of numerous prompts and models. Galileo also provides real-time protection in production with metrics for accuracy, safety, and performance, blocking issues like hallucinations and prompt injections. The company offers flexible deployment options including SaaS, Cloud, and On-Premises. Galileo's solution is trusted by enterprises and loved by developers for its ability to solve the AI measurement problem, de-risk AI in production, and help control AI complexity by analyzing LLM behavior to identify failure modes and prescribe fixes.
What they do: Generative AI evaluation and MLOps platform that automates testing, monitoring, and evaluation of models and datasets across modalities.
Deployment: SaaS, Cloud, and On-Premises options
Founded / emerged: Publicly emerged from stealth in 2022
Employees (approx.): 135
Known funding: Raised seed and an $18M Series A (total funding reported historically prior to 2024: $23.1M); later totals reported at $68.1M
MLOps, AI evaluation, ML data quality and production monitoring for unstructured data (text, speech, vision).
2022
Machine Learning / MLOps / AI
$5.1M
Seed round listed multiple angel and executive investors (e.g., Young Sohn, Remi El-Ouazzane, Lip-Bu Tan, Anthony Goldbloom, Amarjit Gill, Ajay Shah).
$18M
Series A reported as $18M with participation from The Factory, Walden Catalyst, FPV Ventures and angel investors.
“Battery Ventures led the Series A and angel/strategic investors participated in the seed round.”