An AI agent development company for systems with no API

01What custom AI agent development means here

Most AI work stops at answering questions. Custom AI agent development is the part that comes after: building software that can operate other software on your behalf, reliably enough to run unattended, and transparently enough that you can prove what it did afterwards.

A build with us produces an agent that authenticates into the systems you name, navigates them the way a trained member of staff would, extracts and normalises what it finds, reconciles it against your system of record, and either completes the action or escalates it to a named human with the evidence attached.

• Built for your workflow, not configured from a template — the scope comes out of discovery against your real systems
• Deployed where your data must stay — your hardware, your cloud tenant in-region, or air-gapped with no route out
• Auditable by design — every run is logged, replayable and reversible, with a dry-run mode that performs no writes
• Yours at the end — full source handover on delivery, no per-seat licences and no lock-in

02Why "no API" is the whole business

Almost every automation vendor assumes an interface exists. In practice the systems that consume the most human time are the ones that never shipped one: a payer portal, a carrier website, a mainframe screen, a government filing system, a vendor tool whose maker has no commercial reason to open it.

Our position is simple. If a human can do it in a browser or a terminal, an agent can do it — at volume, with an audit trail. That means we treat the systems you already run as the integration surface rather than waiting for an API that is never going to ship. Where an integration has no API, discovery includes capturing and analysing the real network traffic to establish what is genuinely possible before anyone commits to a build.

03How an engagement runs

Discovery

We map the systems, the data, the people and the failure modes. You receive an architecture document, an integration feasibility report and a fixed-price build quote — and if the honest answer is that an agent is the wrong tool, you get that instead.

Build

Model selection, tool design, pipelines and orchestration, worked in short increments against your real systems in a sandbox rather than a mock. Weekly demo, source access from day one.

Validate

Benchmarking against a labelled evaluation set, adversarial testing, failure injection, and a dry-run period against production data with every write suppressed.

Deploy and hand over

Deployment into your environment, monitoring wired to your on-call, full source and runbooks, and a handover session with the people who will own it after us.

04What AI agent development costs

Indicative bands so you can qualify us before booking a call. Final scope is fixed after discovery, and the build itself is quoted at a firm price.

05Delivered worldwide

We are remote-first across every timezone, with overlapping coverage through APAC, EMEA and the Americas and handover notes at every shift boundary, so you never re-explain the problem. Agents are deployed into the region your regulator requires — in-country cloud, your own datacentre, or entirely offline.

We design towards the frameworks that apply where you operate — GDPR and UK GDPR, the DPDP Act, HIPAA technical safeguards, SOC 2 alignment, PDPL, POPIA, LGPD and the rest. Those are design targets rather than certifications, and anything requiring a signature is reviewed with counsel before we agree to it.

06Common questions