- Multiverse raised $70 million in strategic funding led by Schroders Capital, lifting its valuation to $2.1 billion.
- The company is repositioning itself from an edtech startup into Europe’s “AI adoption platform” focused on workforce transformation.
- Revenue grew 50% year-on-year, while Multiverse reported its first cash-positive quarter between January and March 2026.
Multiverse, the London-founded company led by Euan Blair, son of former British Prime Minister Tony Blair, has secured $70 million in fresh funding. The round was led by Schroders Capital alongside backing from existing investors such as General Catalyst, Index Ventures, Lightspeed Venture Partners, D1 Capital Partners, Bond, and StepStone Group.
The investment values the company at $2.1 billion, up by $400 million from its previous $220 million in Series D funding June 2022. The total funding raised accounts for $570 million.
The jump comes during one of Multiverse’s strongest growth periods to date. Revenue increased 50% year-on-year for the third consecutive year of accelerating growth.
Founded in 2016 by Blair alongside Sophie Adelman, Multiverse originally built its reputation through apprenticeships and workforce training programmes. But the company is now making a broader play for Europe’s rapidly expanding enterprise technology market. Rather than positioning itself solely as an education platform, Multiverse wants to become the infrastructure layer helping organisations integrate AI into everyday operations without leaving workers behind.
“There are companies who desperately need the benefits AI can bring. There are AI companies. What has been missing is the layer that bridges the two. This investment marks the moment Multiverse defines that category, and takes it across Europe. Getting outcomes from AI and unlocking productivity is not just a technology problem. It is a people problem. We exist to solve it,” says Blair.
Its platform identifies workforce skill gaps, maps them against company objectives, and recommends targeted training programmes in data, digital, and AI-related capabilities. The company says this approach has already generated more than £2 billion in verified ROI for over 1,000 employers, including Babcock International, The AA, Capita, and Addison Lee.
Multiverse has also expanded through acquisitions and partnerships to strengthen its position. Earlier this year, it acquired Berlin-based training company StackFuel, while forming alliances with Microsoft, Palantir Technologies, and Databricks. Its coaching platform Atlas reportedly tripled daily active users over the past year.
The shift places Multiverse into an increasingly competitive market where companies are racing to solve the gap between expensive technology investments and actual workforce adoption. Its genuine rivals are now enterprise workforce transformation providers such as Coursera for Business, Guild Education, Degreed, and Pluralsight — platforms that compete for the same corporate learning and development budgets.
“We want Britain to achieve the fastest rate of AI adoption of any country in the G7 – the productivity dividend we can get from AI will grow businesses of all shapes and sizes in the UK and ensure they stay competitive,” says Chancellor of the Exchequer Rachel Reeves.
“Multiverse is a fantastic example of a British company helping turn that ambition into reality. This investment will support its expansion across Europe, strengthening a UK firm that is competing globally and equipping people with the skills to make AI work in practice,” she adds.
“Multiverse is a leader in enabling this shift, helping organisations capitalise on these tailwinds. With growing momentum across Europe, Multiverse puts the focus on AI adoption, enabling employers to upskill their workforces and translate technology investment into tangible outcomes. graduation,” notes Michael Mclean, head of private equity technology investments, Schroders Capital.
The new funding will now support expansion across Europe as Multiverse doubles down on its belief that the biggest opportunity in AI lies not in replacing workers, but in making organisations capable of using the technology effectively at scale.
