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About

An AI-native firm, built by people who know workforce.

Tempris exists because responsible AI adoption is becoming an urgent business question, and most organisations do not know where to start. We help them find out fast and act on it.

The founders
Sean Carney, Co-founder, CEO

Sean Carney

Co-founder, CEO

Sean has spent over twenty years helping organisations work through their most pressing workforce questions, on pay, performance, and how work is structured. Before co-founding Tempris he led Aon's Talent Consulting business in the UK, and before that the European division of the reward data and consulting firm McLagan.

Matt Yerbury, Co-founder, CTO

Matt Yerbury

Co-founder, CTO

Matt has twenty years in technical workforce roles at KPMG, Aon, Mercer, and in-house at HSBC, where he led people analytics and data science for four years. Most recently he ran workforce analytics and digital at KPMG, building a suite of applications powered by large language models.

Oli Watson, Co-founder, Chief Engineer

Oli Watson

Co-founder, Chief Engineer

Oli combines a background in workforce analytics with deep technical expertise in applied AI and large language models. He began his career at KPMG in People Consulting and Workforce Analytics, working across skills analysis, job architecture, and quantitative workforce modelling. At Tempris he leads the engineering of Workforce Studio, designing the platform's analytics layer, agent systems and LLM integrations, and delivers hands-on technical builds for enterprise clients in financial services and beyond.

Principles

What we value.

Time is precious

We make time count: yours and your employees'. We help organisations spend time where it matters most.

People first

We design every engagement with the people doing the work in mind, alongside the leadership who commission it.

Boldly practical

We bring fresh thinking that is easy to act on. Engagements are shaped to your context, not lifted off a template.

Forever curious

We work at the edge of what the technology can do, and we ask the questions that let us solve harder problems for our clients.