Applied AI · Digital transformation · Co-founder of Ayima

AI development and infrastructure for businesses that need to change how they work.

Mike Nott builds LLM agents, automation and the platforms behind them. Co-founder of Ayima, with twenty years of running technology-led operations and delivering digital change.

Mike Nott
Brands worked with at Ayima
About

Mike Nott

Founder, operator and engineer. Based in Oxford, working with teams in the UK, North America and Asia.

Mike builds applied AI for organisations: LLM agents that work from years of company knowledge, automation that removes manual steps from real operations, and the data and infrastructure layers that keep those systems reliable in production.

That focus comes from two decades of digital transformation in practice. He co-founded Ayima in 2007 and ran it as Chief Operating Officer, building the operations, in-house technology and international footprint that took it to over 200 people across five offices and public on Nasdaq. Ayima has since returned to a lean, senior-only consultancy, where he remains a co-founder.

Ayima’s clients have included Verizon, Wells Fargo, British Airways, Marks & Spencer, Sephora and O2, in some of the most competitive markets online, and its in-house tools have been used across the search industry.

  • LLM agents and applied AI systems
  • AI infrastructure and platform engineering
  • Automation of business operations
  • Knowledge retrieval over company data
  • Digital transformation strategy and delivery
  • Building and scaling technology-led teams
  • Board-level leadership and governance
  • Agency M&A and integration
Current projects

What Mike is building now

Ayima AI

A full-scale SEO agent for companies, built on Ayima’s methodology and knowledge base and connected to the industry’s leading data sources. It runs analysis, diagnoses problems and recommends what to do next.

ayima.ai

Public tools

Open-source tools for AI agents and local models: web access for agents, token-efficient home automation, and front-ends for self-hosted inference. Each one started as something needed in production and is released for others to run on their own infrastructure.

github.com/mike-nott

Local inference

Running sovereign LLMs on-premise for organisations where privacy and security rule out cloud APIs: vLLM deployments on dedicated hardware, model evaluation, and tool-calling agents that keep corporate data inside the business.

Contact

Get in touch

For AI development, infrastructure and digital transformation work, or board and advisory roles.