We decide what AI is worth building, then we build it. We route every workload to the right model so your runway lasts longer. One team handles everything from strategy to shipped code.
We deploy across every major model and never lock you into one
We build everything from simple knowledge assistants to privacy-grade systems most shops won't touch. We scope to what moves your business and skip what doesn't.
Answer engines grounded in your own docs and data, with accurate, citable answers.
Agents that take real actions across your tools and run multi-step workflows.
Customer-facing assistants that resolve, escalate, and stay on-brand.
Turn contracts, forms, and PDFs into clean structured data.
Harnesses and regression tests so you ship AI changes without breakage.
LoRA/QLoRA and adapters when off-the-shelf models aren't enough, or cost too much.
Transcription, voice agents, and speech interfaces wired into your product.
Privacy-preserving, federated, and on-device deployments for sensitive data.
We don't hand over a strategy deck and walk away. Our engineers work inside your team and help ship AI into production alongside you, from deciding what's worth building to running it day to day.
We stay model-agnostic across every layer and choose the stack that fits your workflow and your runway.
Our engineers work inside your team and ship alongside you. There's no handoff and no slide deck that goes nowhere, just production code you own.
Model-neutral by design. We route to the cheapest model that does the job, so your token bill doesn't outrun your growth.
We transfer knowledge and leave you with maintainable systems, not a black box that depends on us.
A team that takes on the privacy-sensitive and research-grade problems generalist shops turn away.
A clear path, not a black box. Most engagements start with Discovery and move through to AI running in your product.
We map your workflows and pin down the two or three worth deploying AI into.
→A fixed-scope plan for one workflow: the model, the architecture, the success metric.
→Our engineers work inside your team and take it to production in weeks. It gets tested and evaluated before going live.
→You get the code, the docs, and the knowledge. Run it yourself, or keep us on for ops.
→There are no black boxes and no lock-in. Everything we build is yours to run, change, and own.
A working system live in your environment, not a prototype or a proof of concept.
Clean, documented, maintainable code in your repository. No proprietary wrapper.
Tests and metrics so you can change models or prompts later without breaking things.
Your team understands how it works and how to extend it. We don't leave you dependent on us.
Clear picture of what each workload costs to run, and where it can be optimised as you scale.
An honest read on the next workflow worth deploying, or whether you even need us again.
The commitments behind every engagement.
We pick the model that fits the workload and your budget: Claude, GPT, Gemini, or open source. We're never tied to one vendor.
Code, docs, and knowledge transfer at handover. We build to leave you independent, not dependent.
Our people work inside your team and put working AI into production alongside you.
If a workflow isn't worth deploying AI into, we'll tell you. We'd rather scope less and ship what matters.
A 30-minute call. We'll tell you straight whether a sprint can get it to production, and roughly what it would cost.
Book a discovery call