Contact
Let's ship your AI system.
Tell us what you're building. We'll respond with a clear next step: an audit, a prototype plan, or a delivery proposal.
Get in touch
Response time
Usually within 24–48 hours.
Scope
Engineering · Marketing · Finance · Programming · Security · LLMOps
What to include
- — Goals & success metrics
- — Current systems (data, APIs, stack)
- — Constraints (security, compliance, latency, budget)
- — Timeline & stakeholders
Don't have all of this yet? Share what you have — we'll ask the right questions.
Typical first step
AI Readiness & Architecture Audit
We map systems, data boundaries, risks, and measurable outcomes — then define the fastest path to production.
Engagement options
Choose your starting point
AI & Security Readiness Audit
2–10 days
A structured review of your AI systems, data boundaries, and operational controls — with a prioritised action plan.
- ✓ System and trust-boundary map
- ✓ Threat model for critical flows
- ✓ Audit report with prioritised recommendations
Prototype Sprint
2–4 weeks
Scope and validate a single high-value AI workflow from idea to working prototype with an eval harness.
- ✓ Working prototype with eval harness
- ✓ Evidence it beats a defined baseline
- ✓ Integration plan for production handover
Production Hardening
2–6 weeks
Harden an existing AI system for production: observability, security controls, eval gates, and cost instrumentation.
- ✓ Observability and cost dashboards
- ✓ Security controls, guardrails, and eval gates
- ✓ Runbook, eval suite, and rollback plan
Enablement & Ops
Ongoing
Structured support for teams running AI in production: quality reviews, monitoring, and operational continuity.
- ✓ Monthly eval review and quality maintenance
- ✓ Cost and reliability monitoring
- ✓ Operational dashboards and incident playbooks
Process
How we work
- 01
Data audit
We map your available signals, validate data quality, and establish a measurable baseline before any model work begins.
- 02
Scope & contract
Fixed deliverables, timeline, and success metric agreed in writing before we start. No scope creep, no open-ended retainers.
- 03
Build & validate
Iterative implementation with an eval harness running from sprint one. Every prompt or model change is measured against the baseline.
- 04
Deploy & instrument
Production deployment with observability, alerting, output schema validation, and a documented rollback path — operational from day one.
- 05
Hand-off
Full documentation, prompt registry, runbook, and eval suite delivered. You own the system entirely. No lock-in.