IT Services / AI & ML
Data-driven solutions for automated processes and smarter decision-making, built narrow, deployed honestly, and measured against business outcomes.
Personalised product, content, and offer recommendations, built on your transactional data, not generic third-party black boxes.
Invoice, KYC, and form extraction pipelines with human-in-the-loop review, useful for finance, logistics, and compliance teams.
Time-series models for inventory, staffing, and procurement, replacing spreadsheet rules with confidence-bounded predictions.
Retrieval-augmented assistants over your knowledge base, ticket history, or product docs, with guardrails and citations.
Semantic search and hybrid ranking on your catalogue or content, measurably better than the keyword search you ship today.
Reproducible training pipelines, drift monitoring, and inference infrastructure that's cheap to run and easy to audit.
Tools we use
How we engage
A short paid workshop where we sit with your stakeholders, audit the current state, and agree the success metric for the build.
Wireframes, journey maps, and a working prototype. Architecture decisions are documented and reviewed before a single production line is written.
Two-week sprints with a live preview environment, weekly demos, and a shared backlog. You can see the build come together day by day.
Production launch, monitoring, and a defined post-launch support window, followed by an ongoing retainer if you want one.
Often, yes, and where you don't, we'll be honest. The first deliverable on most engagements is a data audit: what you have, what's clean, and whether the use case actually needs ML or just better SQL.
We typically recommend retrieval-augmented generation (RAG) over fine-tuning, it's cheaper, easier to update, and the citations make compliance teams happier. We do fine-tune when the use case truly requires it.
We pick the smallest model that meets the quality bar, batch where we can, and design for hybrid local-plus-cloud inference. Every project ships with a per-request cost target.
Let's build something
Tell us what you're trying to build. We'll come back within one business day with a written brief, a rough estimate, and the next step.
