As companies across industries rush to adopt artificial intelligence, many are discovering that technology alone is not enough to unlock productivity gains. Businesses increasingly face a different challenge: preparing employees with the practical skills needed to work effectively alongside AI systems. UK edtech company Multiverse is positioning itself to address that gap, and investors are backing its expansion plans with fresh funding.
The company has raised £70 million in a new funding round led by Schroders Capital. Existing investors including General Catalyst, Lightspeed, D1 Capital Partners, Index Ventures, Bond, and StepStone Group also participated in the round.
The investment values Multiverse at $2.1 billion, representing a $400 million increase from its previous funding round in 2022.
Expanding Beyond Apprenticeships
Founded in 2016 by Euan Blair, the son of former UK Prime Minister Tony Blair, Multiverse originally focused on digital apprenticeship programmes aimed at helping workers develop technology and data related skills inside major companies.
Since launch, the company has raised approximately $570 million and has grown into one of the UK’s most prominent workforce training platforms. While its early growth was concentrated largely in the UK market, Multiverse is now increasingly positioning itself around enterprise AI adoption and workforce transformation.
The company said the newly raised funding will support expansion across Europe as businesses seek practical ways to train employees for AI driven workplaces.
Entering the European AI Training Market
As part of its broader European growth strategy, Multiverse recently entered the German market through its acquisition of Berlin based data and AI training company StackFuel earlier this year.
The company believes demand for enterprise AI training will continue accelerating as organisations move beyond experimenting with AI tools toward integrating them into everyday business operations. Multiverse argues that one of the biggest barriers to successful AI adoption is not the technology itself but the lack of workforce readiness inside companies.
According to Euan Blair, there is currently a major gap between businesses seeking AI driven productivity gains and AI companies building advanced tools. He described Multiverse as the layer designed to bridge those two worlds by helping organisations train employees to use AI effectively in practical workplace settings.
Blair said unlocking value from AI is fundamentally a people challenge as much as a technology challenge, positioning workforce enablement as central to enterprise AI adoption.
Strategic Partnerships and Workforce Focus
Over the past year, Multiverse has also focused heavily on forming partnerships with major technology companies operating within the AI ecosystem. The company highlighted collaborations with Palantir and Databricks as part of its strategy to strengthen enterprise AI training capabilities.
Alongside the funding announcement, Multiverse said all employees regardless of seniority have been offered equity ownership and a long term stake in the company following the financing round.
The move reflects the company’s emphasis on building long term organisational alignment as it scales operations internationally.
Financial Performance and Growth Plans
In its most recent financial results covering the year ending 2025, Multiverse reported losses widening from £60.3 million to £63.3 million year over year while employee numbers declined slightly from 822 to 813.
However, the company also revealed that it achieved its first cash positive quarter between January and March 2026, marking an important operational milestone as it continues expanding.
Rachel Reeves described Multiverse as an example of a British company helping translate AI ambition into practical economic impact by equipping workers with the skills needed to apply AI in real world environments.
As AI adoption reshapes industries across Europe, Multiverse is positioning itself at the centre of a growing market focused on workforce transformation, enterprise productivity, and practical AI enablement.