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Ourwork

What we build, andwhat you own when it's finished.

Every engagement ends with running software, its source, and the documentation to operate it. This is the shape that work takes.

Deliverables

What ships,by service line.

Not a description of effort. A list of the artefacts that exist in your account at the end.

AI Automation

Turn repetitive operational work into monitored pipelines.

  • Process map of the workflow as it actually runs today
  • Production pipeline with monitoring and alerting
  • Admin console for reviewing runs and exceptions
  • Runbook, escalation path and handover session

AI Localization

Ship one product into every market without a release train per locale.

  • Localization pipeline integrated with your CI
  • Locale coverage dashboard and release gate
  • Translation memory and glossary in version control
  • Layout QA reports per locale

AI Translation

Machine translation you can put in front of customers.

  • Benchmarked engine routing per language pair
  • Terminology and tone constraint set with test cases
  • Quality estimation calibrated to your reviewers
  • Review interface and correction pipeline

AI Testing

A test suite your team actually trusts.

  • Coverage and trust audit of the current suite
  • Stabilised suite with flakes quarantined or fixed
  • New E2E coverage across ranked critical paths
  • CI wiring plus a written policy for red builds

AI Development

Model-backed features built like the rest of your product.

  • Eval set and harness agreed before the build starts
  • Production feature with guardrails and fallbacks
  • Cost, latency and quality dashboards
  • Operational notes for the parts that will drift

AI Tools

Internal tools for the workflow your team actually has.

  • Working tool scoped to a single workflow
  • SSO, roles and audit logging
  • Deployment in your environment
  • Repository, docs and a support window
Anatomy of abuild

What a production pipelineactually contains.

The demo is one box in the middle. Everything around it is what decides whether the system is still running in a year.

One box here is the model. The rest is what decides whether the thing survives contact with a Tuesday: where work arrives from, what happens when the score is low, and where the result lands. Each stage is described below.

anatomy-of-a-build · exampleRunning
anatomy-of-a-build, an example runDocuments, API events and queue messages arrive in whatever format the upstream system produces and merge into one extraction step, validated against a schema. A confidence gate scores every record: those above threshold continue automatically, those below queue for a person with context already assembled. Both paths write back through versioned connectors.DocumentsAPI eventsQueueExtract & classifyvalidated on entryschemaConfidence gateevery record scored98.2%Continuesabove thresholdautoHuman reviewcontext assembledqueuedWrite backversioned connectors · retries and idempotencyrecorded
run history · cost and latency per stageinspectable months later
  1. 01

    Ingest

    Documents, API events and queue messages arrive in whatever format the upstream system produces. Nothing upstream has to change.

  2. 02

    Extract & classify

    Models pull structured fields out of unstructured input and validate them against a schema before anything downstream sees them.

  3. 03

    Confidence gate

    Every record carries a score. Above threshold it continues; below it, it queues for a person with the context already assembled.

  4. 04

    Human review

    A purpose-built queue where the reviewer's decision is one keystroke, and each correction becomes training signal.

  5. 05

    Write back

    Results land in your systems of record through documented, versioned connectors with retries and idempotency.

  6. 06

    Observe

    Run history, failure alerting, cost and latency per stage. Inspectable months later when someone asks what happened.

Engagementmodels

Three ways the workgets bought.

All three end the same way: source, deployment and documentation in your hands.

Project build

Fixed scope, fixed price

We agree the scope and definition of done up front, then deliver against it. Best when you know what you need and want a predictable number.

Best for: A defined outcome with a deadline

Dedicated retainer

Monthly, capped hours

A set number of senior engineering hours each month, prioritised by you. Best once something is live and needs to keep evolving.

Best for: Ongoing work with shifting priorities

Embedded team

Per engineer, monthly

Our engineers work inside your process: your repo, your standups, your review. Best when you have capacity gaps rather than a discrete project.

Best for: Extending an in-house team

Casestudies

We publish client workonly with permission.

Most of what we build sits inside someone else's product or back office, under NDA. Rather than post anonymised stories you can't verify, we'll walk you through comparable work on a call and put you in touch with a reference where the client has agreed to it.

Starthere

Tell us the process,not the solution.

The most useful first message describes what someone on your team does by hand today and how often. That is enough for us to tell you whether it is worth building.

What happens next
  • A named engineer reads it, not a form inbox
  • Reply within 24 hours, even if we're not the right fit
  • A 30-minute call to trace the process end to end
  • A fixed-scope quote, or an honest no