Production AI, engineered end to end, six eval-gated service lines.
The same playbook, tuned to the constraints of the sectors we ship into most.
Proof, not promises, selected case studies and recognition.
A transparent, 3-phase playbook from first audit to embedded team.
The senior team behind the work, and how to reach us.
The AI is only as valuable as the product around it. We build the full-stack software (web, mobile, APIs, dashboards) with AI embedded from the architecture up, so the whole system earns revenue instead of stalling as a proof of concept.
From greenfield products to legacy modernization, our senior full-stack teams deliver production-grade software with AI built in at every layer, and a clear line from each release to the business outcome it serves.
Full-stack web platforms with AI embedded by design React/Next.js frontends, Python/Node.js APIs, and AI inference wired throughout, not bolted on after.
React Native and native iOS/Android apps with on-device and server-side AI. We build the full stack, from model integration to app store submission.
Ops dashboards, data pipelines, and automation platforms for teams that move fast. AI-powered search, summarisation, and decision support built in.
Production-grade REST and GraphQL APIs with AI inference endpoints, rate limiting, audit logging, and multi-tenant isolation.
Multi-tenant SaaS with usage-based billing, AI-native feature architecture, and the infrastructure to scale from 100 to 100,000 users.
AWS, GCP, and Azure deployments with CI/CD, infrastructure-as-code, container orchestration, and production monitoring from day one.
Retrofitting AI into a platform built without it means rewriting data models, adding new latency budgets, and rethinking auth flows. Building AI-native means none of that technical debt.
The quality of every AI feature traces back to how data is stored, structured, and retrieved. We design the data layer with AI retrieval in mind from day one.
Every AI call needs logging, latency monitoring, and cost tracking. We wire in observability at the infrastructure level so you're never flying blind.
SOC 2, HIPAA, GDPR compliance controls are much cheaper when designed in. We build the audit trail, access controls, and data handling from the first sprint.
We build both, but every project gets an AI layer by default search, summarisation, recommendations, or anomaly detection. If a feature could be improved by AI, we'll show you how before scoping it out.
Yes. We've inherited codebases in React, Vue, Django, Rails, and .NET. We start with a two-week audit, give you an honest assessment, then build a migration or extension plan.
Discovery sprint (1–2 weeks) → architecture proposal → sprint-based delivery (2-week cycles) → QA and hardening → production launch. We use Linear for task tracking and share a demo every two weeks.
Every engagement includes 60 days of post-launch support: bug fixes, performance tuning, and monitoring. After that, we offer flexible retainer arrangements.
30 minutes, one of our seniors, no slide deck. By the end of the call you'll know whether we're the right team, and if not, who is.