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adBrain's Areas of Expertise

Two areas of AI expertise, and the Compound AI where they combine, on five shared engineering foundations: generative and agentic AI, and machine-learning decisioning.

Bring us your challenge and we bring the expertise to solve it: a mix of consulting, open-source deployment, and our own engineering, delivered into your environment and handed over with the source code and the right to modify it.

This is the map of what we are expert in. Think of it as the team鈥檚 extended r茅sum茅. Two areas of AI expertise, and the Compound AI where they combine, stand on five shared engineering foundations.


The two areas, and where they combine

馃 Generative & Agentic AI: Ground 路 Act 路 Govern

Private, enterprise-grade generative AI on open-source foundations. Knowledge assistants grounded in your own information, with the sources shown, and agents that draft, search, extract, and run workflows under governance strict enough for sensitive work. This is our lead expertise.

馃搱 Machine Learning & Decisioning: Predict 路 Decide 路 Prove

Machine learning that makes decisions: recommendation and ranking, price and discount optimisation, forecasting, and the causal measurement that proves a decision actually changed the outcome.

馃敆 Compound AI: where the two combine

The place where the first two combine. A language model reads the evidence and explains itself, disciplined by a calibrated model that supplies the numbers. Few teams are strong in both at once, and that is where running both areas under one roof becomes an advantage.


The five foundations

Every area stands on the same engineering base plate. These are disciplines, not products, and much of our own IP lives here.

  • Data & platform engineering (MLOps/LLMOps). The pipelines, stores, serving, and continuous evaluation that turn a prototype into something that runs and keeps running.
  • Secure & governed AI. Access control for people and agents, approval gates, and tamper-evident audit, aligned to obligations such as the EU AI Act and UK data-protection law.
  • AI & cloud cost governance. Spend tracked per team, model, and project, joined to cloud cost, so AI stays affordable and attributable as it scales.
  • Deployment, open source & local-LLM serving. Cloud, private cloud, on-premises, or hybrid. Hardening open-source foundations. Self-hosted models, so nothing leaves your perimeter.
  • AI solution architecture & consulting. The discovery, sequencing, and architecture judgement that decides what to build, in what order, and how it fits your estate.

How the expertise reaches you

We combine the areas and foundations an engagement needs and deliver a solution to your challenge, not a licence to a product. See the challenges we solve in Solutions, the proof in our projects, and how a project runs in How we engage.

Everything we build is deployed in your environment and handed over with the source code and the right to modify it.

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Explore our practices in full

Enterprise AI Engineering

Our expertise in standing up private enterprise generative AI on open-source foundations: knowledge assistants, access control, administration, and cost controls, delivered as solutions you run and change.

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Agentic AI That Takes Action

AI agents that draft replies, search documents, extract data, and orchestrate workflows, governed by attribute-based access control and grounded in your data.

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Bring us your challenge

Whatever the problem, we bring the expertise to solve it and hand you a solution you can run and change.