We build data and AI systems that work.

A UK consultancy for applied data & AI. We also build and run our own products.

What we do

Four kinds of work, usually in combination. Most projects start with a conversation about one problem.

  1. Data foundations

    Pipelines, warehouses and models your team can trust. We sort out where data lives, how it moves and who owns it.

    • Data engineering
    • Warehousing
    • Modelling
    • Governance
  2. Analytics

    Reporting people actually open. Metrics defined once, and dashboards that answer the questions the business is asking.

    • BI and dashboards
    • Metric definitions
    • Self-serve analytics
  3. Applied AI

    AI built into the tools and workflows you already use, with evaluation and guardrails from day one, so it holds up outside a demo.

    • LLM applications
    • Agents and automation
    • Retrieval
    • Evaluation
  4. Product engineering

    When the answer is software, we design it, build it and run it in production. It is how our own products are made.

    • Web and mobile
    • APIs and integrations
    • Hosting and operations

We run what we build.

Our own products are built on the same stack and practices we bring to client work. They keep our advice honest.

BusinessOS

The AI-run workspace for small businesses.

Email, contacts, calendar, tasks, proposals and files in one place, run by an agent that already has the context.

Runs on
Web, iPhone, Android
runbusinessos.com
The BusinessOS home screen: a daily briefing from the agent, open proposals, recent activity and a chat panel.

Orbit-1Echo

Voice notes that write themselves.

Speak, watch the transcript appear as you talk, and turn it into structured notes in one tap.

Runs on
iPhone, Android, desktop
orbit-1.ai
The Echo section of orbit-1.ai: the Echo wordmark, its feature list, and the five built-in templates from Meeting Notes to Pros and Cons.

How we work

We start with the problem, not the tooling. We explain things in plain English, ship working software instead of slide decks, and hand over everything we build: the code, the documentation and the know-how to run it.

Got a data or AI problem worth solving?

Tell us what you are trying to do. A few lines is plenty.