AI agents thatdo the work
Autonomous agents for support, research, ops and outreach, built on Claude and Gemini with real evals, guardrails and human-in-the-loop where it matters.
If an agent does the work of a team, margin becomes your compounding advantage.
What you get
Working agents
Support, research, ops, outreach, deployed in your stack, doing real tickets.
Evals & guardrails
Measured accuracy before launch, tripwires and human-in-the-loop after.
Claude & Gemini native
Built on frontier models with fallbacks, not a thin wrapper on one API.
Ops dashboard
What the agent did, what it escalated, what it saved, visible weekly.
How it works
The same process we use on every account, adapted to this service.
Task audit
Which workflows are agent-shaped: high volume, clear success criteria, tolerable error cost.
Eval harness first
The test suite that defines 'good enough' is built before the agent is.
Deploy narrow, widen
Agent ships on the narrowest slice, earns trust, then takes on more.
Margin compounds
Each automated workflow drops your cost floor, permanently.
Is this a fit?
Good fit
- Repetitive knowledge work with clear success criteria
- Volume that justifies automation
- Appetite for human-in-the-loop at first
Not a fit
- Bet-the-company decisions with no review step
- Workflows nobody can describe precisely
- AI theater for the investor deck
Questions
Today: first-line support, research and enrichment, ops runbooks, outreach drafting, data hygiene, anywhere volume is high and success is checkable. We're candid about what's not ready; the task audit exists to say no early.
Evals before launch (the agent must pass a test suite built from your real cases), retrieval grounded in your data, confidence thresholds that trigger human review, and logging of every action. Guardrails aren't a feature, they're most of the build.
If a vertical product fits your workflow, buy it, we'll say so. Custom wins when the workflow touches your internal systems and data, which is where the durable margin advantage lives anyway.
Talk to us about ai agents
A few lines on what you're building and where growth is stuck is enough. One of the founders reads every message and replies within one working day.