Underlight
AI Systems
We build AI systems that survive contact with production — agents that finish the task, retrieval that cites its sources, and evaluation that tells you the truth. We work beneath the surface, so the product on top feels effortless.
About
We're an applied AI studio. We build AI systems for companies that want to move faster, automate manual work, and scale without losing accuracy.
The hard part is rarely the model. It's retrieval quality, evaluation, guardrails, cost per call, and deciding who reviews an answer the system isn't confident about. That is the part we build.
Capabilities
Model-agnostic by design. The retrieval layer, the orchestration, and the evals are what compound — swapping a model should be a configuration change, not a rewrite.
Models & Reasoning
Agents & Orchestration
Data & Retrieval
Platform & Delivery
Work
The kind of systems we build, and what it actually takes to put them in production.
Claims Triage
An agent pipeline that reads a claim, extracts the facts, and routes it — with a reviewer on top.
Contract Intelligence
Retrieval over a contract estate that answers with clauses, not vibes.
Shop-Floor Vision
Defect detection at line speed, on hardware that already exists in the plant.
Support Copilot
An assistant inside the support console that drafts, cites, and knows when to stop.
Process
Four phases, each with something working at the end of it. No discovery deck that leads to another discovery deck.
Discover
We sit with the people who do the job today and write down how it actually works, including the exceptions nobody documented. Then we build the evaluation set and agree what good has to score before anything ships.
Prototype
A working system in front of real users inside a month. We run against the eval set every day, keep a scoreboard everyone can see, and kill approaches early when the numbers say to.
Deploy
Production means guardrails: scoped permissions, human review where it matters, fallbacks when a provider degrades, cost ceilings, and tracing on every call. We ship behind a flag, to a slice of traffic, and watch it.
Operate
Models change, data drifts, and the business moves. The system ships with the monitoring and the evals needed to upgrade a model safely, long after the build is finished.
Contact
Tell us about the workflow, the data, and what breaks when the answer is wrong. We'll tell you whether AI is the right tool.