Fixed scope, not hourly
We charge for value and outcomes. Fixed-price packages and milestone payments keep incentives aligned and protect your budget.
How we work
Every engagement is fixed-scope and designed to flow naturally into the next — so you never sign a big contract on faith.
A prioritised use-case backlog scored by impact and feasibility, a data-readiness assessment, an ROI model, a target architecture, and a governance & risk view — often bundled with a small working demo.
“We'll tell you exactly what to build and what it's worth — and if you like the plan, we'll build it.”
One narrow use case, one data source, one working demo — purpose-built to de-risk the bigger build and prove value fast, before you commit serious budget.
The real system: RAG pipeline with chunking, embeddings and hybrid retrieval, the agent and orchestration layer, integrations into your stack, deployment on your cloud, and an evaluation harness with human-in-the-loop where accuracy matters.
Monitoring, evaluation, model auditing, hallucination and drift detection, and continuous optimisation — so the system keeps earning trust long after launch.
We charge for value and outcomes. Fixed-price packages and milestone payments keep incentives aligned and protect your budget.
Groundedness scoring, eval harnesses, and human-in-the-loop are built in — not bolted on at the end.
We deploy on Azure, AWS, or GCP — or on-premises. Your data never has to leave your perimeter.
AI systems degrade quietly. Our retainers keep yours improving — better in month twelve than on day one.
Start with a fixed-fee strategy sprint. In two to four weeks you'll know exactly what to build, what it's worth, and what it takes.