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services / ai / custom-harness

Custom AI harnesses you can rely on.

A model alone is not a product. We build the harness around it: tools, permissions, guardrails, evaluations and observability, so agents do real work safely.

✦ Ready for the AI era. Agents are only as good as their harness and their data. We build both.

trusted by data teams at

NextEra Energy Invesco Adorama Adlibris StubHub Educative camino/financial

✓ Enterprise-ready. Already trusted by multiple Fortune 100 companies.

what we build

Custom harness, built for your company

  • Tool and data access scoped to the task
  • Guardrails, permissions and human-in-the-loop approvals
  • Evaluations that catch regressions before users do
  • Observability: logs, costs and quality over time
agent.yml
agent: analyst
tools:
  - warehouse.query   # read-only
  - docs.search
guardrails:
  pii: redact
  send: human_approval
evals: 42 cases · passing

// illustrative

use cases

Where it pays off

analyst.md

Analyst agents

Agents that query your warehouse and answer business questions.

ops.md

Operations agents

Automate repetitive workflows with approvals where it matters.

support.md

Support agents

Draft and triage with your knowledge and tools.

dev.md

Internal tools

Custom copilots for your team inside the tools they use.

faq

Frequently asked questions

What is an AI harness?

A harness is everything around a model that makes it useful and safe: tools, data access, permissions, guardrails, evaluations and monitoring.

Why not just use a model directly?

A model alone cannot reliably act in your systems. The harness decides what it can do, what it can touch and how you know it worked.

How do you keep agents safe?

Scoped permissions, human approval for sensitive actions, redaction of sensitive data and logging of every call.

How do you test an agent?

We build evaluation suites from real cases and run them on every change, so regressions are caught before users see them.

Can agents work with our data warehouse?

Yes. We give agents read-only, scoped access to governed data, ideally through your semantic layer.

Which models and frameworks do you use?

We are model-agnostic and work with all the major labs, choosing what fits the task, cost and latency needs.

How much does it cost?

Pricing is tailored to your scope. Get a quote or schedule a consultation and we will give you a clear estimate.

how we work

From first call to running system

step-01

01 /

Discover

We learn your goals, stack and constraints.

step-02

02 /

Plan

Audit findings and a clear, prioritised plan.

step-03

03 /

Build

Implementation by engineers, reviewed with your team.

step-04

04 /

Run

Hand over, or keep us on to support it.

get-started.sh

Tell us what you need. We'll scope it.

Pricing is tailored to your sources, volume and the parts of the platform you use. Get a quote or book a call with the team.