Hire the lab.
The experiments are the proof: the same hands that build the toys design and ship production AI systems for companies. No slide decks, no "AI strategy" retainers — just working software.
Three things, done properly.
Agents & agentic workflows
Custom agents wired into your actual tools and data — multi-step workflows that classify, draft, route, and escalate, with a human in the loop where it matters.
Production AI deployment
Getting a demo to survive contact with real users: evals, observability, retries, and costs you can predict. The unglamorous part is the part that works.
AI products people enjoy
Interfaces that make the AI legible instead of spooky. The lab cares as much about how it feels to use as whether it runs.
Small first. Bigger if it earns it.
Email what's broken
A paragraph is plenty. What you're trying to automate, what you've tried, what annoyed you about it.
Get an honest take
A short call where the lab tells you what would actually work — including "you don't need AI for this," if that's the truth.
Start with a small build
A fixed-scope first project, shipped in weeks. You own the code. If it earns a bigger build, we keep going.
One engineer, no account managers.
Lanvar is run by Athavan Thambimuthu — a Montréal engineer who deploys AI systems in production for a living and builds the rest of this site at night because he can't stop. You talk to the person who writes the code.