Galileo Labs
Custom AI
Solutions for
Any Case
We build AI applications, train custom models, and deploy production ML pipelines end to end.
Our Approach
How We Work
Embed
Join your team to understand the problem and constraints firsthand
Define
Clarify acceptance criteria and build repeatable evals with a clear "done"
Prototype
Build a working solution fast to validate the approach
Iterate
Refine with reinforcement learning using real feedback and evals
Deploy
Ship to production behind a real serving stack with monitoring from day one
Embed
Join your team to understand the problem and constraints firsthand
Define
Clarify acceptance criteria and build repeatable evals with a clear "done"
Prototype
Build a working solution fast to validate the approach
Iterate
Refine with reinforcement learning using real feedback and evals
Deploy
Ship to production behind a real serving stack with monitoring from day one
Services
Three ways we help teams ship production AI.
AI Application Development
Prompt pipelines, RAG systems, and full-stack agentic apps
RL & Post-Training
Reward modeling, environment design, and post-training for your use case
ML Pipelines & Model Serving
Data pipelines, low-latency serving, and production monitoring
The Team
Meet the Team
20+ years collectively solving AI problems for Fortune 500s, mid-sized and early-stage startups
- Post-training research lead at a leading AI lab
- Large-scale inference engineering
- Building AI Agents at a YCombinator startup
- ex-VC having worked with over 200+ startups
