Evidence infrastructure for AI governance
Progressio.ai was founded in 2022 to develop autonomous auditing technology that finds, assesses and organises the evidence behind high-risk AI systems and links it to regulatory, standards, customer and internal governance requirements.
We enable legal and audit teams by reducing the time and specialist effort needed to find and assess evidence, identify gaps, take remedial action; and engage with customers and regulators with confidence.
Our founding team spent the past decade building enterprise AI and scaling it across more than 3000 Fortune 500 locations; practising technology law in high-growth AI providers servicing highly regulated industries.
Our mission
Enable businesses to cut through the legal complexity of AI by finding the evidence that matters, identifying gaps, and taking action with confidence.
Recognised by
- Governance AwardOpenUK Awards 2025
- UK AI1002025
- WinnerWomen TechEU Deep-Tech
Founding team
Together, the founding team brings complementary expertise across AI governance, law, evidence architecture, machine learning, enterprise product development and organisational communication. That combined expertise is embedded into Progressio.ai, bringing regulatory understanding, assessment logic, AI capability and enterprise product design together in a single automated platform.
Shapes how Progressio.ai translates EU AI Act requirements into the evidence structures and assessment logic the platform uses to perform automated conformity assessments. Her expertise across AI, law, regulatory assurance and operational governance influences how the platform determines what evidence is required, evaluates whether that evidence supports each requirement, and identifies where gaps remain.
Responsible for the AI and technical architecture that enables Progressio.ai to perform automated, requirement-by-requirement evidence assessments. His expertise in machine learning, deep learning and natural language processing influences how the platform interprets documentation, identifies and evaluates relevant evidence, and applies these capabilities reliably across complex assessment workflows.
Shapes how Progressio.ai embeds AI governance principles, with responsibility for how the platform performs automated evidence assessments and presents assessment results. Her expertise in AI governance, education, digital learning and organisational communication influences how the platform transforms complex regulatory requirements into clear, structured and understandable outputs.
Leads how Progressio.ai brings regulatory, technical and operational requirements together as a scalable enterprise AI governance platform. His expertise in software engineering, enterprise AI architecture, product development and large-scale deployment influences how the platform is designed to automate complex assessments reliably and operate effectively across enterprise environments.