Multiverse launches Mastry to bundle AI skills diagnosis, training and proof

Multiverse unveiled Mastry on 14 October at its Workforce 2030 conference in London, a platform meant to carry companies through the whole process of getting staff to actually use the AI tools they have bought. The London firm, known for AI and tech apprenticeships, is betting that most employers are still stuck between buying software and getting any return on it.

The launch matters because it marks a shift in how Multiverse makes its case to enterprise buyers. Rather than selling training as one line item among many, it wants to be the single platform that diagnoses a workforce's AI gaps, closes them and then proves the work paid off.

Three jobs in one subscription

Multiverse frames the problem as one of duplicated spending: companies pay for AI tools, then pay again for a transformation plan, then pay a third time for training that rarely connects to either. Mastry is built to fold those three costs into one system instead.

The platform works in three stages. First, each employee has a short voice or chat conversation with an AI agent about their role and working habits, which Multiverse uses to map capability gaps against the company's business goals. Second, Mastry builds a personalised learning plan drawn from the employee's actual work rather than generic course material, delivered by an AI guide the company calls Mae. Mae operates inside tools staff already use, including Claude and Microsoft Copilot, coaching people through live tasks and logging evidence as new skills are applied. Third, managers get team-level reporting meant to show what their AI spending has actually produced.

Jay Richman, Multiverse's chief product and technology officer, put the design logic bluntly: "If learning competes with work, work will always win. So we built Mastry to sit inside the work."

Why Multiverse thinks this gap exists

Multiverse points to research it published days before the launch: it found that workers in Britain lose an average of 28 working days a year to inefficient handling of data, that 97% of those surveyed want better AI skills, and that three in four UK adults have never received any AI training. Whatever the precise scale, the figures back the company's pitch that skills, not software, are now the bottleneck for employers deploying AI.

Founder and chief executive Euan Blair argued that the usual response, bringing in outside consultants, has not delivered consistent results. He said companies have bought AI tools but still lack a workforce able to use them effectively.

"We focus on installing expertise across the workforce so they can drive the change themselves, and Mastry puts that provision in one place," Blair said.

Where Mastry sits next to apprenticeships

Mastry does not replace Multiverse's existing apprenticeship business, which still relies on human coaches for accountability, pastoral care and group sessions. Instead, the company presents the two as complementary, run from the same underlying platform, with Mastry handling day-to-day, AI-assisted coaching and apprenticeships covering longer structured training.

That combination lets Multiverse pitch itself less as a training vendor and more as what it calls an AI adoption layer sitting between enterprises and the tools they buy. The company, founded in 2016 as an alternative route into work for people who skip university, has built its business over a decade largely on human-coached apprenticeships; Mastry is its clearest move yet into software-driven, always-on coaching at scale.

Timing and what comes next

The launch lands five months after Multiverse raised $70m in a round led by Schroders Capital, which valued the company at $2.1 billion and was explicitly framed around expanding its AI-adoption positioning across Europe. The company said at the time it had reached cash-positive operations and was growing revenue 50% year over year, giving it room to build out a product like Mastry rather than rely solely on services revenue.

For now, Mastry is open only to a limited set of development partners through a waitlist, with Multiverse targeting a full launch in early 2027. That gives the company more than a year to test whether an AI coach embedded inside everyday work tools can actually move the needle on adoption, and whether enterprise buyers are willing to pay for one platform instead of three separate budgets for tools, planning and training.