Business & Funding

Multiverse raises $70m at a $2.1bn valuation to push its AI-adoption pitch across Europe

· May 15, 2026
Multiverse raises $70m at a $2.1bn valuation to push its AI-adoption pitch across Europe

The business move

Multiverse, a London-based platform focused on AI and technology upskilling, has raised $70 million in a funding round led by Schroders Capital. The move values the company at $2.1 billion and follows its acquisition of Berlin-based StackFuel earlier this year. Multiverse reported 50% year-on-year revenue growth and counts customers such as the AA, Babcock, and Capital among its user base.

Why it matters

This funding boost puts Multiverse in a strong position to expand its AI adoption efforts across Europe. The platform’s growth demonstrates that businesses continue to invest in workforce digital skills, especially around AI and tech capabilities. By acquiring StackFuel, Multiverse strengthens its offerings with data science and machine learning upskilling, which addresses a key bottleneck in enterprise AI adoption: competent, trained teams.

Funding at this scale also signals rising investor confidence in AI-focused training companies, reflecting pressure on organizations to close their AI talent gaps quickly or risk falling behind competitors who leverage automation and data-driven decision making.

Who gains and who gets squeezed

Employers looking to build in-house AI and tech expertise get faster access to vetted training programs and measurable talent pipelines via platforms like Multiverse. This can reduce the time and risk of hiring externally or struggling with unprepared teams.

On the flip side, traditional training providers without AI specialization face tough competition. Companies unwilling to invest in upskilling risk losing relevance, as AI integration increasingly becomes a core operational capability rather than a niche skill.

What to watch next

Keep an eye on how Multiverse scales its AI upskilling across different European markets and industries. Its success will depend on tailoring training to unique sector demands and integrating new AI toolsets as the landscape evolves.

Also watch whether more funding flows into adjacent AI talent and skills platforms, indicating a widening AI skills race. How established corporate learning providers respond to this specialized competition will shape the training ecosystem for AI adoption in the coming years.

AI Quick Briefs Editorial Desk

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