AI agent development

AI agent developmentfor production, not demos.

We're an AI agent development company that designs, builds, and deploys custom AI agents wired into your real systems — your CRM, your helpdesk, your data warehouse. With evaluation suites that prove they work, deployments your team can operate, and code you own outright at handoff.

When this is the right move.

01

The demo worked. Production didn't.

A prototype impressed everyone, then stalled — no evals, no error handling, no integration with the systems that matter.

02

Routine work is eating expensive time

Support tickets, data entry, triage, reporting — high-volume, low-judgment work your best people shouldn't be doing.

03

Your team hasn't built agents before

The engineering talent is there, but agent architecture, evals, and LLM-ops are a different discipline. We bring the patterns.

04

You're worried about reliability

An agent that's wrong 5% of the time needs different scaffolding than one that drafts for human review. We build for the actual risk profile.

What you walk away with.

Concrete deliverables — not a deck and a goodbye.

Deliverable · 01

Production agents

Support copilots, onboarding agents, research assistants, workflow automation — integrated with your real stack.

Deliverable · 02

Evaluation suites

Automated evals that measure accuracy and catch regressions — so you know it works before and after every change.

Deliverable · 03

Deployment & observability

Shipped to your infrastructure with monitoring, logging, and cost tracking from day one.

Deliverable · 04

Code your team owns

No black boxes, no vendor lock-in. Full source, documentation, and a 90-day support window after handoff.

How we work, end-to-end.

A four-step path from the first honest audit to embedded.

  1. Step i 01

    Audit

    Two weeks inside your operation. Workflows mapped, leverage points identified, an honest read of what's worth automating.

  2. Step ii 02

    Roadmap

    A sequenced plan: what to build, in what order, with what guardrails. Tied to outcomes you can measure.

  3. Step iii 03

    Build

    We embed and ship. Real agents, real evaluations, real deployments. Code your team owns at the end.

  4. Step iv 04

    Embed

    Hand-off, training, and a 90-day support window. Your team runs the system; we stay reachable.

Common questions.

What kind of AI agents do you build?

Customer support copilots, onboarding agents, internal research and drafting assistants, catalog enrichment pipelines, churn-signal systems, and workflow automation. If it's a repeatable workflow touching text, data, or decisions, it's likely a fit.

Can you build AI agents for customer support?

Yes — support is one of our most common builds. A grounded agent that resolves the routine tickets your docs already answer, deflects safely, and escalates the rest to your team with full context attached. We measure deflection rate and CSAT before and after, so the impact is visible.

How long does it take to build a production agent?

Most builds run 6–10 weeks from kickoff to production, including evaluation suites and handoff. Simpler workflow automations ship faster; deeply integrated systems take longer.

Which models and stack do you use?

We're model-agnostic and pick per use case — weighing accuracy, latency, and cost. The architecture is built so you can swap models as the landscape shifts, without a rebuild.

Do we own the code at the end?

Yes — outright. Full source, documentation, and training for your team, plus a 90-day support window. Our goal is that you don't need us to operate it.

How do you make sure the agent is reliable?

Every agent ships with an evaluation suite — automated tests against real scenarios from your operation. We measure accuracy before launch, monitor it in production, and design escalation paths for the cases the agent shouldn't handle alone.

Other ways we help

Not sure if this is the right starting point?

A 30-minute call. Bring the workflow that's hurting most. We'll tell you, honestly, whether this is the right lever — and where we'd start.