AcademyAI Raises £1.65M Pre-Seed to Assess and Train Employees' AI Skills

AcademyAI has raised £1.65 million in a pre-seed funding round to assess and boost employees' AI skills. The platform assesses employees against a six-axis AI capability framework built with the Alan Turing Institute Methodology, identifying gaps in critical thinking, judgement, prompting, evaluating outputs and building skills, then delivers personalised micro-learning and practical use cases built around each person's real role. Training consists of five-minute applied modules that are role specific and rooted in an organisation's context, tools and language, with the platform powered by underlying AI models and AI generated content.

Companies widely give teams access to AI tools but lack a way to measure whether employees can use them properly, and AcademyAI aims to fill that gap with a six-axis capability framework and role-specific micro-learning. For AI education product builders, this represents a product direction combining assessment and personalised learning in enterprise training; for schools and teachers, its capability framework and micro-learning design offer a reference for AI literacy development. Currently only funding and product descriptions are available, with no independent research or quantitative results showing improved learning outcomes or business results. A product form driven by capability assessment and personalised micro-learning appears in the enterprise training market, potentially influencing procurement standards for AI skills training. Its six-axis capability framework and five-minute role-specific module design offer a reference structure for schools and teachers designing AI literacy courses.