AcademyAI raises £1.65M to measure workplace AI skills

Why it matters

Packham and Lambert are applying lessons from their Adobe-acquired startup to a growing enterprise problem: AI software spending is easy to count, while employee capability remains difficult to measure.

AcademyAI has disclosed a £1.65 million pre-seed round to build software that measures whether employees can use workplace AI tools effectively, then assigns training based on their roles and weaknesses.

The London-based startup brings together Alex Packham, Andy Lambert, Michael Walton and Rob Barnett. For Packham and Lambert, AcademyAI is a return to familiar territory: they previously helped build ContentCal, the social media software business acquired by Adobe in 2021.

Packham founded ContentCal and spent three years leading its integration at Adobe. He now runs behavioral-health technology business JAAQ and describes his AcademyAI position as a co-founder, board and seed-investor role. Lambert led growth at ContentCal and created ContentCal Academy, an education product he says reached more than 4,000 businesses. Their new bet combines the assessment software investors increasingly expect from enterprise learning products with the short, applied lessons Lambert built before the Adobe exit.

Tech.eu reported on September 15th that Nexus Family Office and Panthera Family Office participated in the round. The report does not identify a lead investor, valuation or individual cheque sizes.

The financing itself predates the report's publication. In a launch post published about six months earlier, Packham said AcademyAI had raised more than £1.5 million and had been seeded through ASTP Companies and Digital First Capital. He also named Colin Smith, Derek Jones and Stephen Lane among its backers. The disclosures do not establish when the round closed or how the earlier investor list relates to the £1.65 million figure reported by Tech.eu.

Measure first, train second

AcademyAI is built around a straightforward complaint from employers: procurement teams have paid for ChatGPT, Microsoft Copilot and similar tools, while management has little evidence showing which employees can use them safely or productively.

"It's a measurement problem first," Packham told Tech.eu. AcademyAI intends to turn that problem into an enterprise software category spanning assessment, training and reporting.

AcademyAI says its assessment scores employees across six capabilities: AI literacy, safe and responsible use, problem framing, specification, application, and evaluation and reflection. The exercises cover practical judgment, including how workers define tasks, assess generated output and decide when an AI system should be used.

The AcademyAI product page says the framework is mapped to a framework from the Alan Turing Institute and was tested through 15 discovery conversations across 10 sectors. That is AcademyAI's description of its methodology; AcademyAI does not identify an independent validation study demonstrating that its scores predict productivity, output quality or workplace risk.

After an assessment, AcademyAI generates role-specific lessons intended to take about five minutes. The content can incorporate an employer's tools, terminology and internal context, while managers receive dashboards tracking scores across individuals, teams and departments.

AcademyAI also offers a lighter individual assessment consisting of six questions that the startup says take one to two minutes. It places users on a five-stage scale running from "Exploring" to "Leading." The free individual product gives AcademyAI a low-friction entry point, while the enterprise product carries price-on-application terms and adds customized courses, organization-wide reporting, single sign-on and white-label options.

A second act for the ContentCal founders

Packham's motivation came partly from watching companies in his investment portfolio buy AI software without understanding whether employees could use it. His broader thesis, stated in his AcademyAI launch post, is to "democratise access to elite tools and capability."

He has taken a portfolio approach since selling ContentCal. Packham remains chief executive of JAAQ, invests through ASTP Ventures and is a founding partner at Digital First Capital. AcademyAI therefore gives him an advisory and capital position alongside an operating team that includes Lambert, Walton and Barnett.

Lambert brings the clearest direct connection between AcademyAI's product and the founders' previous work. ContentCal Academy taught marketing skills alongside ContentCal's software, giving Lambert experience using education as both a customer-acquisition tool and a way to improve the results customers got from a product. AcademyAI applies that model to AI software purchased elsewhere, which leaves AcademyAI free to work across ChatGPT, Copilot, Claude, Gemini and future tools.

Barnett adds more than 25 years of creative and digital-design experience. Walton, a founding partner at Digital First Capital, brings an investment and company-building background. The four-person founding group is effectively betting that workplace AI training will become a persistent management function instead of a one-off course attached to a software rollout.

Selling proof in a crowded market

AcademyAI enters a category already contested by AI education providers, enterprise learning platforms and skills-measurement specialists. Workera sells AI-readiness measurement, while Section AI offers a proficiency benchmark and enterprise training. Multiverse approaches the same budget through longer, job-embedded programs and apprenticeships.

AcademyAI is positioning repeated assessment as its point of separation. Its dashboards are designed to show capability changing over time, allowing employers to compare the result with software spending, training activity and reported time savings. Five-minute modules also reduce the commitment required from workers, though AcademyAI still has to show that short lessons produce durable changes in behavior.

That evidence will determine whether AcademyAI becomes part of an employer's operating stack or another training subscription. Customer names, revenue, pilot results and measured improvements have not been disclosed. For a startup selling proof, the next milestone is getting employers to treat its six-axis score as a credible measure of work performed, rather than another record of training completed.