Tom Lorimer is the CEO and co-founder of Passion Labs, a UK-based applied AI research and development laboratory specializing in custom AI and ML systems for medium-sized enterprises. The firm combines proprietary research with tailored deployment, working across industries to help businesses integrate AI into core operations.
Before founding Passion Labs, Tom served as CEO of Pyrsos AI Research, an ML consultancy and IP lab whose team of 14 PhD scientists had contributed to over 100 registered patents, with work spanning financial services, media, and entertainment. His earlier career included commercial and founding roles across consumer and tech businesses, giving him cross-sector experience on the operational side of early-stage companies.
He uses Fyxer to manage the volume of email that comes with running a high-growth AI business. For someone whose work involves evaluating and deploying AI systems professionally, the bar for adopting a tool is higher than most. Tom's use of Fyxer sits in that context: a practitioner who understands the architecture behind AI products, applying it to a genuine operational need.
Experience
- CEO and Co-Founder, Passion Labs
- CEO, PYRSOS AI
- Chief Investment Analyst, Time Machine Capital² Ltd
- Managing Director (USA, Japan & Hong Kong), Commercial Director, Co-Founder, OTO Wellbeing
- Sales Director, Founding Partner, Board Advisor, POPS
- Co-Founder, Foundations Presents
- Sales & Marketing Director, Grade Management Ltd
Education
- BSc from University of Bristol
- AI Programme from Saïd Business School, University of Oxford
Recent posts featuring Tom Lorimer
AI adoption at work: What makes tools stick
45% of workers use AI occasionally. Fewer than 10% use it daily. Here's what the research says about the gap, and what it takes to cross it.
Enterprise generative AI: Use cases, adoption, and advice
Enterprise generative AI is in 78% of organizations. Most of it goes unused. Here’s where enterprise generative AI is working in 2026, from inbox management to contract review.
AI in the workplace: Benefits, examples, and how to use it
AI in the workplace is saving professionals 7.5 hours a week. Here's where the real gains are, what the limits look like, and how to get it right in your own workflow.