Pure AI Software was founded in 2019 by a small group of machine-learning researchers and enterprise software engineers who had grown frustrated watching powerful AI capabilities remain locked inside big-tech laboratories. Working from a converted warehouse in Grady-Gottliebhampton, Wales, the founding team set out to build a modular AI software platform that mid-market companies could adopt without hiring an army of data scientists.
Within eighteen months the first version of our predictive-analytics engine was live in production for three logistics firms, and the results spoke for themselves: an average twenty-eight per cent reduction in forecasting errors. Word spread quickly, and by 2021 we had expanded into natural-language processing and intelligent automation, serving clients across healthcare, finance, manufacturing and retail.
Today we employ over sixty specialists, operate from offices in Wales and London, and process more than three million predictions every day. Despite our growth, we remain fiercely independent and founder-led, ensuring that technical excellence — not short-term profit — drives every decision we make.
Our mission is to democratise artificial intelligence, making it accessible, ethical and genuinely useful for organisations of every size.
We believe AI should be explainable. Every model we deploy comes with clear documentation on how it reaches its conclusions, so stakeholders can trust the output and regulators can audit the process. Black-box algorithms have no place in responsible enterprise software.
We do not simply hand over a product and walk away. Our engagement model treats every client as a long-term partner. We invest time understanding your domain, co-design solutions with your team and provide ongoing optimisation so the system improves month after month.
The AI landscape evolves at breathtaking speed. Our engineers dedicate twenty per cent of their working week to research, experimentation and knowledge-sharing. This commitment ensures our platform incorporates the latest advances — from retrieval-augmented generation to efficient fine-tuning techniques — before they become mainstream.
We subject every project to a rigorous fairness and bias review before deployment. Our internal ethics board, which includes an external academic adviser, evaluates potential societal impacts and ensures compliance with UK GDPR, the EU AI Act and emerging global standards.
Our leaders bring decades of combined experience in machine learning, enterprise software and business strategy.
Chief executive officer — Previously led product at a FTSE 250 data-analytics firm. Catrin drives company vision and ensures every client engagement delivers measurable value.
Chief technology officer — A former research scientist at a leading AI lab, Idris oversees platform architecture, model development and infrastructure scaling.
Chief operating officer — Megan ensures projects are delivered on time and within budget. Her background in management consulting gives her a sharp eye for process improvement.
Head of research — With over twenty peer-reviewed papers in NLP and computer vision, Gareth leads the team that keeps our platform at the cutting edge of AI innovation.
Key milestones that have shaped Pure AI Software into the company it is today.
Three co-founders launch Pure AI Software from a converted warehouse, focused on building accessible predictive-analytics tools for mid-market businesses.
Our analytics engine goes live with three logistics firms, delivering a twenty-eight per cent reduction in forecasting errors within the first quarter.
We expand our platform to include natural-language processing pipelines and intelligent automation workflows, broadening our reach into healthcare and finance.
Growing demand from enterprise clients leads us to open a second office in London, doubling our client-facing team.
We surpass one hundred active clients across six industries, processing over two million predictions per day.
We formalise our commitment to responsible AI by creating an independent ethics board with external academic representation.
Launch of our v3 platform featuring retrieval-augmented generation, real-time model monitoring and a no-code workflow builder.