Agentic AI services, including the unglamorous ones
We offer agentic AI services across the lifecycle, and a fair share of our work is not greenfield. Rescuing an agent that cannot reach production, auditing one whose costs ran away, and building the operating model for a portfolio that grew faster than its governance.
No sales script. You talk to the engineers who'd build it.
Our team works a shifted day so you get real-time standups and same-day turnarounds in your time zone, not next-morning replies.
Every line of code, model weight, and prompt is yours from day one. NDAs and clean IP assignment are standard, not an upsell.
You work directly with the engineers building your system. No account managers sitting between you and the people writing code.
We move from scoping to a working system in production in weeks. Most engagements ship something usable inside the first month.
What we build
Concrete systems we ship, tuned to your data and your stack.
Build
Scoping against real numbers through to production volume, with gates where stopping is a legitimate outcome rather than a failure.
Rescue
Agents that work in a notebook and cannot reach production. The cause is nearly always integration, permissions, or missing evaluation.
Audit
Blast radius review, cost per completed task, escalation analysis, and whether the thing can produce an audit trail if someone asks.
Operate
Weekly metrics, monthly output sampling, and the registry that lets you answer what is running and what it can reach.
How we work
Scope & evals
We pin down what success means and build the evaluation set before writing the feature, so quality is measured, not guessed.
Build in the open
Weekly demos against real data. You see progress every week and can change direction before it gets expensive.
Ship & instrument
We deploy with logging, cost tracking, and guardrails in place, then tune against production traffic.
Hand off or stay
Take the keys with full docs, or keep us on for iteration. Either way you're never locked in.
Questions, answered
Our agent works but costs too much. Can you help?
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Usually yes, and usually substantially. Cost problems are typically context growth per loop iteration, retries you are paying for twice, and reasoning effort spent where it changes nothing.
What does an agent audit cover?
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What it can read, write, send, spend, and trigger downstream, then the worst-case sentence: if an attacker controlled its next twenty actions, what happens. If that sentence is unacceptable, the permissions are wrong.
Can you run our agents for us?
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We can run the operational layer, but the quality bar has to stay with the person whose work the agent does. An outside team can tell you it is running. Only your team can tell you the output is right.
Do you do short engagements?
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Yes. An audit is typically one to two weeks and often pays for itself in the cost findings alone.
Let's scope your build.
Tell us what you're trying to ship. We'll tell you honestly whether AI is the right tool and what it would take.