We design, build and deploy AI that does real work on infrastructure you own: autonomous agents that take actions in your tools, private search that answers from your own documents, models tuned to your domain, and the data pipelines and guardrails underneath. Senior engineering, paired with current-gen models, billed by the hour.
Most projects use two or three of these together. All of it runs on infrastructure you own, on your model keys or open models we host for you, and all of it is billed by the same hour.
Autonomous agents that take real actions in your tools, triage a ticket and route it, reconcile an invoice, move a record between systems, draft a document and file it. Scoped tools, a human-approval step, and a full action log.
RAG search that answers questions from your own documents, contracts, tickets and wikis, with citations back to the source, so people trust it. Nothing is sent to a third party; the index lives on your servers.
Open models tuned to your domain, your terminology and your tone, then deployed on your own hardware. You get a model that speaks your business and never phones home, no per-token bill, no vendor lock-in.
The unglamorous part that makes the rest work: pulling your data out of the systems it's trapped in, cleaning it, chunking and embedding it, and keeping it fresh. Good AI is mostly good data plumbing, done once and done right.
How you know it works and stays safe: test suites that measure accuracy on your real cases before anything ships, guardrails that keep it in bounds, human approval on risky calls, full logging, and a kill switch you always hold.
The right way to start with AI is one use case, in production, doing real work behind a human-approval step. Not a six-month “AI transformation.” We pick the use case with you, ship it, and let it earn trust on your actual cases before it touches anything else.
Most first builds reach production in 25 to 60 hours. It runs on your infrastructure with your model keys (or open models we host for you), keeps a full log, and comes with a kill switch from day one.
A slick demo is easy. AI you can trust with real customers and real money is engineering: grounding in your own data, scoped tools, guardrails, a human-approval step, logging, and evals that prove it works on your cases before it goes live. That's the part most “AI consultants” skip.
You don't pay for a strategy deck or a proof-of-concept that never ships. You pay for a working system, in production, on your infrastructure, by the hour. That's how we keep it at $20 an hour without cutting the parts that keep you safe.
Senior engineer · AI-paired · guardrails + evals · runs on your infraWe start narrow and only widen what the system is allowed to do once it has proven itself on your real work. No big-bang rollout, no “set it loose and hope.”
A short call and a look at the problem. We find where AI clearly helps, the data it needs, and the calls a human must always sign off on. You get an estimate in hours.
The system, its data pipeline, guardrails and evals, scoped tight, wired into your tools, running on your infrastructure. You get a progress link and a running hour tally.
It goes live behind a human-approval step, on real work, watched closely. Everything is logged and you hold the kill switch from minute one.
30 days of tuning on us. We widen autonomy only where it earns it, and hand over the code, models, logs and docs. It's yours.
Powerful shouldn't mean unsupervised. We give a system exactly the tools and data it needs, no more, ground its answers in your own sources, and put a person on the decisions that carry risk, money out, messages to customers, anything hard to undo. Everything it does is logged, and it can be stopped instantly. The result is speed you can actually trust.
If yours isn't here, a 20-minute call almost always answers it.
Talk to a human →Tell us in two paragraphs about the problem that's eating your team's time. We come back inside a day with a plan and an estimate in hours, or an honest “AI won't help here.” Either way, you get a straight answer.