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What we do.

Strategy and build under one roof. We help you decide where AI earns its place, then design, engineer, and ship the product. We stay on the hook for the outcome, not just the advice.

/ 01

AI strategy & roadmap

We work out where AI moves a real number, and where it only looks good in a demo. We sort that out before you spend a quarter finding out the hard way.

Use-case mappingModel benchmarkingBuild vs. buyCost & latency modelling

We start with your data and your workflows, not the model du jour. We pressure-test candidate use cases against real economics, benchmark models head-to-head on quality versus latency versus cost, and hand you a sequenced plan your own team can execute against.

You walk away with
  • A prioritised use case map (scored on impact, feasibility, and risk)
  • A model and infrastructure recommendation (with the benchmark data behind it)
  • A phased build plan and estimate (the same one we would build from)
/ 02

End-to-end product build

From an empty repo to the App Store. Mobile, web, and the backend underneath it, with one team on the hook and nothing thrown over a wall.

iOS / AndroidFlutterWeb / SvelteCloud infraCI/CD

The team that scopes your product is the team that builds it. Fifteen plus years of mobile and full-stack architecture means we design for the constraints that actually bite, like offline use, latency, battery, and store review, and we ship something real instead of a prototype that dies in the demo.

You walk away with
  • A launched product (on the App Store, Google Play, or production web)
  • Clean architecture you own (documented and handed to your engineers)
  • The pipeline around it (builds, tests, observability, releases)
/ 03

Applied AI engineering

LLM orchestration, RAG, multimodal vision, and on-device inference wired into a product that holds up under real load.

LLM & RAGMultimodal / VLMEdge / on-deviceOrchestrationQuality gates

We have shipped multi agent pipelines where one model never grades its own work, on device vision that keeps data on the phone, and stateful orchestration that survives concurrent multiplayer load. Loops under two seconds across edge and cloud, with the economics worked out before launch.

You walk away with
  • Production AI features (not notebooks, not demos)
  • Quality gates and evals (so the output stays trustworthy at scale)
  • Margins that work (cost per action measured and tuned)
/ 04

Data platforms & intelligence

The layer that makes AI trustworthy: a governed lakehouse with near-real-time analytics and a natural-language layer on top.

LakehouseGovernance / RLSBI & CopilotMulti-tenantDirect Lake

We have built medallion architecture platforms feeding real time business intelligence for some of the largest operations in the country. That meant row level security, per tenant isolation, audit logging, and a Copilot layer so the business can ask questions in plain language and get answers and reports back.

You walk away with
  • A governed data platform (bronze, silver, gold, refreshed near real time)
  • Dashboards and a semantic model (with row level security built in)
  • A natural language layer (questions in, answers and reports out)
Engagement

Three ways to work with us.

Pick the shape that fits where you are. Each can graduate into the next.

01 · Advisory

Strategy sprint

A focused engagement to map use cases, benchmark models, and produce the roadmap. Weeks, not months. Ends in a plan and an estimate.

02 · Project

Build & ship

Fixed-scope delivery of a defined product or feature. We design, engineer, launch, and hand over a system your team can own.

03 · Embedded

Senior bench

An accountable team of our architects and AI engineers plugged into yours, leading the build and lifting your people as they go.

Let's scope it

Not sure which you need? Start with a call.

Tell us the problem. We'll say honestly whether it's advisory, a build, or an embedded team, and what it would take.