Ava Technologies — AI consultancy and private AI deployment for enterprise
AI consultancy for enterprise.
We run AI adoption programmes and deploy private AI infrastructure for organisations that take data control seriously.
What we do
Two service lines.
AI Adoption Programme
A six-stage engagement that audits how AI is already being used in your organisation, sets policy, trains staff, and builds inside your existing Microsoft 365 estate.
AI Adoption →Private AI Deployment
Local, on-device, and self-hosted AI for tasks where data cannot leave the organisation. Designed for healthcare, legal, financial services, and government.
Sovereign AI →Who we work with
Organisations where data handling carries weight.
Enterprises, professional services firms, and multi-site operators on Microsoft 365 — where AI adoption has to satisfy compliance, client privilege, or commercial sensitivity before it gets near a workflow.
Background
An independent firm with engineering depth.
Ava Technologies was founded by three engineers and strategists working across AI, infrastructure, and applied privacy research. We run a small consultancy practice and contribute to the open-source AI tooling that underpins our deployments.
Currently engaged with a national transport operator on an AI Adoption Programme inside its Microsoft 365 estate. Technology partner on an Innovate UK funded research project. Core contributors to Nano Collective, an open-source community building local-first AI tooling — its flagship project, Nanocoder, has 2,000+ GitHub stars.
How we work
Three operating principles.
01
Inside your stack
We build with the infrastructure you already operate. Microsoft 365, Copilot Studio, Power Automate, your VPC, your hardware. No new vendors unless there is a clear reason.
02
People before tools
Adoption fails when it leads with the technology. Every engagement starts with how your people work, where time is lost, and what governance is in place.
03
Architecture, not policy
Where data control matters, structural guarantees beat contractual ones. Local inference, on-device models, and self-hosted deployments remove third-party exposure rather than reframe it.
Start with a conversation.
Tell us what you're working on. We'll tell you whether and how we can help. No obligation, no sales process.
Talk to us →