Artamys designs and ships production-grade Generative and Agentic AI for enterprises ready to move past the pilot stage — grounded in your data, your workflows, and your risk tolerance.
Whether you need a single workflow automated or a full agentic layer across your stack, we scope to the outcome — not the hours.
Retrieval-grounded assistants, document intelligence, and content pipelines built on your proprietary data — engineered for accuracy under audit, not just demos.
Multi-step, tool-using agents that plan, act, and hand off — with the guardrails, observability, and human checkpoints an autonomous system actually needs.
The unglamorous foundation — pipelines, warehousing, and infrastructure — rebuilt so your AI initiatives have something solid to stand on.
An honest audit of where AI creates leverage in your organization — and where it doesn't. Roadmaps built to survive contact with your actual systems.
Evaluation frameworks, bias testing, and monitoring so what you ship stays trustworthy after launch — not just at demo time.
Once it's live, someone has to watch it. We monitor cost, drift, and performance so your team isn't paged at 2am over a prompt regression.
Every engagement follows the same discipline — small enough to ship fast, honest enough to say when something isn't working.
We spend the first two weeks embedded with the team who'll actually use the system — not just the sponsor who's buying it. Most projects change scope here.
A thin, real version of the system reaches real users within weeks, on real data — so we're arguing about outcomes, not architecture diagrams.
Evaluation suites, guardrails, cost controls, fallback paths. The gap between a demo and a system people can depend on is entirely in this stage.
Documentation, runbooks, and training your own engineers — or ongoing management if you'd rather we keep operating it. Your choice, made explicitly.
Fixed scope for a defined outcome, embedded time for ongoing build-out, or an audit if you just need a second opinion.
A focused, fixed-length engagement to map where AI actually helps — and where it's a distraction.
A senior pod — engineer, applied researcher, and delivery lead — working inside your sprint cycle until the system ships.
We keep what we (or your team) built running — monitored, evaluated, and improved after launch.
Most engagements start with a 30-minute call — no deck, just a conversation about where you're stuck.
Tell us a little about what you're trying to build or fix. We reply within one business day, from a person — not a queue.