We help governments, enterprises, and public institutions understand emerging risks, evaluate AI safety, and deploy trusted AI solutions - bridging the gap between frontier technology, public sector delivery and security.
pattrn.ai is a research, science and intelligence company operating at the intersection of AI safety, information integrity, and public sector resilience. Grounded in years of research experience at world-leading universities, we combine expertise in data science, machine learning, and open-source intelligence to identify risks that cut across traditional boundaries.
We are an Oxford University spin-out. Our team studies coordinated information campaigns, develops rigorous evaluation frameworks for frontier AI systems, and assesses AI-enabled simulation tools. We deliver structured, evidence-based intelligence to governments, public institutions, and allied partners, and we operate at the pace of the technology itself.
Real-time monitoring and structured analysis of information operations, adversarial narratives, and online harms. Continuous insight for early warning and strategic response.
Structured large scale expert in the loop testing frameworks for assessing democratic harms, fraud and deception misuse potential, radicalisation threats and information operation facilitation in frontier AI systems. We assess models across tens of thousands of threat vectors in near real-time.
Independent evaluation and assurance testing for AI integration, assessing system performance, resilience, and safety in real-world operational conditions. Secure validation frameworks for deploying AI agents, focussed on the public sector.
Backgrounds in academic research, government, defence, and the technology industry.
Strategic leadership and business development. Background in technology ventures, government partnerships, and scaling research-led organisations.
Technical architecture and platform development for threat intelligence and AI safety. Former Head of AI for Public Services at the Alan Turing Institute.
Operations, delivery, and client engagement. Experience in managing complex programmes across government, defence, and intelligence settings.
Information operations monitoring and AI safety evaluation. Background in cyber security, government and military environments, and applied research.
Machine learning research focused on AI safety evaluation and threat intelligence. Background in mathematical modelling and computational social science, with experience across academic research institutions.
Focused on counter-terrorism, political extremism, and AI safety. DPhil in International Relations from Oxford University, with experience spanning academia, industry, and policy research.
Data scientist specializing in AI technologies, remote sensing applications and creating AI applications for the public sector.
Research on democratic harms across academia and industry. Background in digital and data analytics, tracking and analysis, and AI, with expertise in narrative analysis and cognitive literary theory.
Research and entrepreneurship focused on propaganda and social science. Background in physics and mathematics, with experience in modelling, analysis, and software design across multiple sectors.
Focused on AI safety evaluation across the fraud and deception landscape. MPhil in Criminology from Cambridge University, with experience in online safety, financial fraud and scams.
