Capabilities

We don't sell AI.
We ship working agents.

Three disciplines, one studio. Most teams can hire for one of these. We bring all three, wired together from day one.

Custom AI agents

Agents trained on your domain that own a workflow end to end — with the tools, memory, and guardrails to be trusted in production, not just in a demo. We start with a human in the loop and earn autonomy as the evals prove out.

→Tool use & function calling — agents that take real actions in your systems.

→Memory & context — they remember the account, the history, the rules.

→Guardrails & escalation — clear limits, and a clean handoff when unsure.

agent · reasoning trace

plan  → classify request · pull account
tool  → crm.lookup(acct_8841)
tool  → docs.search("refund window")
check → policy ok · within limits
act  → issue refund · reply drafted ✓

Workflow automation

We connect the tools you already pay for and remove the manual handoffs between them — the quiet tax on every growing team's week. Fewer tabs, fewer copy-pastes, fewer dropped balls.

→Integrations — your CRM, helpdesk, data warehouse, and the long tail.

→Event-driven pipelines — work triggers the moment it should, not on a cron.

→Human-in-the-loop gates — automation where it's safe, review where it counts.

IN

New lead in HubSpot

trigger

↓

AI

Agent enriches & scores

clearbit · web · intent model

↓

✓

Books meeting · notifies owner

if score > 80 · else nurture

AI infrastructure

Evals, monitoring, and the unglamorous plumbing that keeps agents reliable long after launch — so what we ship stays shipped, and you always know exactly what your agents are doing.

→Evals as CI — every change tested against your real cases before it ships.

→Observability — traces, costs, and failure modes, visible in one place.

→Cost & latency control — the right model for each step, not the priciest.

eval suite · nightlypassing

accuracy0.0%

groundedness0.0%

p95 latency1.3s

How we work

From first call to a live agent in three weeks.

WEEK 01

Map

We sit with your team and find the workflows quietly eating the most time, then pick the ones worth automating first.

WEEK 01–02

Build

We design the agent, wire the tools, and run it through evals against your real data until it earns trust.

WEEK 03

Ship

We deploy to production with monitoring on day one — in the loop with your team, then earning autonomy.

ONGOING

Run

We watch the dashboards, tune the prompts, and add capability as your needs grow. It stays reliable.

Model-agnostic · we use the best tool for each step

OpenAIAnthropicLlamaLangGraphTemporalPostgres + pgvectoryour existing stack

Not sure where an agent fits?

That's the first call. We'll map your workflows and tell you honestly what's worth automating — and what isn't yet.