Six practices, one team.
Most engagements draw on three or four of these at once — which is precisely why they live under one roof. Every one ends with something your team can operate without us.
AI & LLM applications
The demo is the easy part. We build the unglamorous half: evaluation sets that catch regressions before a release, citations so an answer can be checked, cost ceilings that stop a runaway loop, fallbacks when a provider degrades, and a human handoff exactly where the risk sits.
- RAG & hybrid search
- Agent orchestration
- Eval + guardrails
What you receive
- Evaluation harness + baselines
- Retrieval pipeline with citations
- Cost and rate governance
- Prompt and model change log
Machine learning & analytics
We pick the model that performs on held-out data, not the one that demos well. Training is reproducible, metrics are tracked across runs, and the model retrains on a schedule as new data arrives — so accuracy does not quietly decay three months after we leave.
- Feature engineering
- Model selection & tuning
- Scheduled retraining
What you receive
- Reproducible training pipeline
- Held-out evaluation report
- Inference API + monitoring
- Retraining schedule
Full stack product engineering
One type definition from the database to the button. Design systems your engineers enjoy building against, performance budgets enforced in CI, and accessibility treated as a requirement rather than an audit finding.
- Design systems
- Edge rendering
- Accessibility to WCAG AA
What you receive
- Component library + tokens
- Typed API client
- Performance budgets in CI
- WCAG AA audit
Backend, APIs & integrations
Multi-tenant data models with permissions enforced in the database, not only in the interface. Background jobs that are safe to run twice, webhooks that reconcile themselves when a provider retries, and a billing integration that survives a failed card without a support ticket.
- REST & typed APIs
- Auth and permissions
- Payments & webhooks
What you receive
- API contract + typed client
- Auth and permission model
- Background job runner
- Integration test suite
Data pipelines & storage
Pipelines that can be re-run without corrupting anything, schemas designed before the first migration rather than after the fifth, and one place a number comes from. Document ingest for AI work lands here too — parsing, chunking, and indexing that is repeatable.
- ETL & document ingest
- Schema design
- Vector + relational stores
What you receive
- Ingest pipeline + schedule
- Schema + migration history
- Chunking and indexing strategy
- Data quality checks
Cloud, deployment & support
Nothing is clicked into existence. Environments rebuild from a clean account, deploys are reversible, and monitoring is wired before launch rather than after the first incident. We stay available on an agreed support window once you are live.
- IaC from day one
- Progressive delivery
- Post-launch support
What you receive
- Infrastructure as code
- CI/CD with rollback
- Monitoring + alerting
- Runbook + support window
Four stages, no surprises.
The same sequence whether the engagement runs six weeks or a year. Predictability is a feature.
- 01
Technical discovery
Week 1We read the code, trace the hot paths, and talk to the people who get called when it breaks. You get a written assessment of what is actually in the way — including the parts you did not ask about.
You receive: Assessment + risk register
- 02
Architecture & plan
Week 2Target architecture, build sequence, delivery plan, and a fixed commercial shape. Enough detail to decide with your eyes open, and cheap enough to walk away from.
You receive: Architecture notes + sequenced roadmap
- 03
Build in increments
Weeks 3–14Two-week increments, each deployed behind a flag and demonstrable in your environment. You see running software, not slides about running software.
You receive: Deployed increments + CI
- 04
Handover & support
OngoingRunbooks, architecture decision records, and a walkthrough with the engineers who will own it next. After launch we stay available on an agreed support window, sized to how much of it you want to run yourself.
You receive: Runbooks + SLOs + support window
Tell us what is breaking.
Send the problem, not a polished brief. An engineer reads every enquiry and replies within two working days with a real technical opinion — including when the honest answer is that you do not need us.
- Reply from an engineer, not a salesperson
- Fixed scope and price before any build starts
- Your code, your cloud, your repo — from day one