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Trillectra AI: Innovate. Educate. Elevate.
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About us

Our team

A small team that builds AI systems, teaches the people who run them and works on research alongside both.
Portrait of Michael Fayemiwo, PhD

Michael Fayemiwo, PhD

Chief Executive Officer

Michael leads Trillectra AI. A computer scientist and Fellow of the Higher Education Academy, he has worked across university research, teaching and the delivery of AI systems for organisations, and the company reflects those three strands. His technical work centres on Artificial Intelligence and agentic systems, computer vision and medical AI, built on AWS and Azure.

Specialisation

  • Artificial Intelligence & Agentic Systems
  • Machine Learning
  • Computer Vision
  • Medical AI
  • Cloud-Based AI Systems

Qualifications

  • PhD, Computer Science
  • Fellow of the Higher Education Academy (FHEA, UK)
  • PgDE, Higher Education Practice

Experience

More than 15 years across university teaching, research and the delivery of AI systems for organisations.

Portrait of Abiodun Adebayo

Abiodun Adebayo

Data Science & Applied AI Lead

Abiodun leads our data science and applied AI work. A statistician by training, he has spent more than ten years in telecommunications, fintech and insurance building forecasting, optimisation and decision models that businesses rely on day to day. He brings that discipline to how we frame problems and measure results for clients.

Specialisation

  • Statistical Modelling
  • Machine Learning
  • AI for Decision Intelligence
  • Operations Research
  • Business Analytics

Qualifications

  • BSc, Statistics
  • MSc, Operations Research
  • MSc, Data Science
  • Graduate Statistician (GradStat) • Royal Statistical Society (RSS)
  • Data Science Professional Certificate (DSP) • AfDSP

Experience

More than 10 years in telecoms, fintech and insurance.

Portrait of Jadesola Osinowo

Jadesola Osinowo

AI Product & Analytics Lead

Jadesola leads AI product delivery and analytics. She has built Artificial Intelligence systems using retrieval, graph and agent-based approaches, alongside predictive and recommendation models, in both industry and research settings, with an emphasis on responsible, explainable AI that the people using it can trust.

Specialisation

  • AI Product Delivery
  • LLMs & GenAI (RAG, GraphRAG, Agentic AI)
  • Predictive Modelling & Forecasting
  • Recommendation Systems
  • Responsible & Explainable AI

Qualifications

  • MSc, Artificial Intelligence & Data Analytics (Loughborough University)
  • BSc, Software Engineering (University of Leicester)

Experience

More than 5 years delivering data and AI projects, working with over 16 industry partners.