We help teams ship AI that actually works
Production ML systems, AI roadmaps, agent/LLM development, and training.
What we can help with
End-to-end ML system delivery: data pipelines, model training, deployment, and monitoring across classical ML, deep learning, and LLM-based systems. Getting a model out of a notebook and into something your team can operate.
Not sure where AI fits in your product? We assess your data, use cases, and team, then propose a practical roadmap: what to build first, what to buy or skip, and what it'll take to get there.
Design and build AI agents and multi-agent systems that use tools and handle real workflows, with the evaluation and red-teaming that keeps them reliable and safe in production.
Hands-on workshops for engineering teams ramping up on ML engineering practice, agent frameworks, or LLM evaluation methodology. See our blog for open-source courses.
How it works
A focused, hands-on engagement
How engagements work
Scope
A short call to understand what you're building and where the risk or bottleneck is.
Build
Working code and demos, iterated with your team rather than delivered as a black box.
Hand off
Documentation and knowledge transfer so your team can own and extend the system.
Have a project in mind?
Tell us what you're building. Happy to talk through whether we're a fit.