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The workload of a teacher can be incredibly demanding: beyond delivering lessons, there’s planning, administrative work, student support, and countless other tasks competing for time. All this can quickly become unmanageable.

As a Multiverse coach working with an education charity, Rachel O'Hehir sees this first-hand. “What every teacher has told me is just how demanding their role is,” Rachel explains. “They’re under a lot of pressure which can easily lead to burnout. So, removing the administrative burden is a no-brainer, allowing teachers to reinvest that time into what’s important.” 

Teachers lose 2-3 hours each week on manually preparing and reformatting slide decks, so it was no surprise that one teacher Rachel was coaching wanted to find a smarter way of working. That’s why she enlisted the help of AI to transform the way lessons are planned.

She built a new AI tool: a slide engine that automatically creates lesson decks, applies standard formatting templates, and pulls in the government-required literacy and vocabulary homework content.

“By inputting all the key resources needed for a lesson, teachers receive a slide deck that’s 80% ready for teaching,” Rachel explains, “and from there, they can easily tailor each deck to make sure it’s ready for different lessons and students.”

With the heavy-lifting done for them, the slide engine saves teachers at least an hour a week each – a massive cumulative saving of time across the organisation. It also enforces quality control, automatically integrating school and government requirements without creating extra work.

“At the minute, it’s the teacher’s department using the tool, but the plan is to roll it out to the wider organisation, and ultimately the wider federation of academies, based on how successful she and the team have found it.” A huge achievement for her and her fellow teachers.

For prospective Multiverse clients, being able to share confidential information is essential, so they can confidently discuss skills gaps in their business, how they’re currently using AI, and where they need the most support. They typically ask for a non-disclosure agreement (NDA) - something Sam and the Multiverse Legal team were ready to handle. 

But this was a slow process.

“When a customer needed an NDA,” Sam explains, “they would often share their own templated version. That required a manual legal review, and due to the volume, it would create a 1-3 day turnaround time.”

Sam and the team would spend an hour thoroughly reviewing each NDA. This didn't just eat up time, it meant teams had to wait longer to start conversations and get to work with clients. In short, the longer an NDA took to approve, the longer customers waited to start upskilling their teams.

Sam knew this needed to change, and saw an opportunity to connect two systems using AI: Ironclad, a contract management system, and Wordsmith, a legal AI tool that reviews contracts against a pre-submitted customer playbook. “The key for me was to get Ironclad and Wordsmith talking,” Sam says. “How do we get that file between one tool and the other? And how do I get it back?”

So, Sam got to work. To start with, he developed the NDA playbook with the Legal team, defining exactly what was acceptable and what needed flagging. “I uploaded the playbook to Wordsmith,” Sam says, “and turned it into an AI agent, which can review and edit NDAs, generate a summary of any potential areas to address, and populate our company details.” He then built an automated trigger in Ironclad, which sends the NDA to Wordsmith once uploaded, and back again once reviewed by the AI agent.

“The turnaround time dropped from 72 hours to five minutes”, Sam explains. “Now instead of fully reviewing NDAs ourselves, we’re reviewing the AI agent’s first pass at them.” This has freed up time for both the Legal and customer facing teams, so they can focus on areas where they can add deeper strategic value.

Beyond speeding up the process, Sam also reflected on how it’s inspired a cultural shift in the wider team. “It’s definitely motivated colleagues to lean more into automation. For example, teams across the business now go to the Ask Legal channel in Slack.” This AI-powered Slack chatbot uses an internal knowledge base to answer queries. “We just need to review and approve the output it shares.” Win-win for Legal, win-win for Multiverse.

Until recently, Gemma spent a large part of her day sorting through goods from corporate donations and listing them on eBay. As an eBay Administrator for Age UK, Gemma plays a key role in raising funds for the charity’s work including services like its Telephone Friendship Service, free and confidential Advice Line and The Silver Line Helpline.

“We work with companies like Amazon that donate large quantities of items,” Gemma explains. “It can be anything, from skincare products to furniture.” All profits go directly back to Age UK’s important work.

But keeping up with demand was a grind. Between researching unfamiliar products, crafting accurate descriptions, and finding the right keywords to drive visibility, listing 25-30 items could take up to two and a half hours per day on average - taking away from her other duties managing the donations warehouse.

The variety of donations made things even trickier. “I’m not an expert on many of the items listed, so I would often have to frantically Google to make sure descriptions are accurate,” Gemma says. Specialist items were a particular challenge: “If it’s something like a car part, that takes a lot more time - I’ve got to make sure it’s the right thing.”

So Gemma decided to build a smarter way of working, leveraging her new AI skills. Using Microsoft Copilot to craft her prompts, she set up a ChatGPT Enterprise tool and fed it eBay’s best practice and tone of voice guidelines, giving every listing the best possible chance of a sale. “Copilot helped me write the prompt,” she explains, “and then I went through about three or four iterations before I got to the one I use now.”

The workflow is now remarkably simple. Gemma submits an item’s barcode to the tool, and within seconds ChatGPT pulls product information from across the internet and generates a polished title, description, and recommended price. It doesn’t matter how obscure the product is - the output is consistently accurate, and Gemma only needs a quick check before each listing goes live. “The stuff that I won’t know about, the internet will,” she jokes. “So it’s definitely made it easier.”

The impact has been significant. Time spent researching and writing each listing has dropped from 10-15 minutes to around five - and that freed-up time goes straight back into managing the warehouse. The team has also been able to add five more listings per day, boosting their inventory and the charity’s prominence on the platform. “The more things you have listed, the more sales you get,” Gemma notes. “Essentially, it bumps you up in visibility on eBay.”

Better listings have also reduced the number of customer questions Gemma has to field. When product descriptions are clear and detailed, buyers already have the information they need - another small win that adds up over the course of a busy day.

For Gemma, the bottom line is straightforward. AI-optimised listings are driving more revenue for Age UK, and giving her valuable time back for other work. “In the long run,” she concludes, “it is going to make more money for our department, the charity, and ultimately help the people we support.”

Last year I spoke to a leader at a large retailer who told me she’d given up trying to hire young people. Not because she didn’t want to. But because every time she tried, something got in the way - the right programme didn’t exist for her team’s roles, the cost of a younger hire was virtually the same as for an experienced one, the admin took weeks. She ended up hiring someone in their thirties. Fine, but not what she’d set out to do.

I’ve had versions of that conversation many times. The problem isn’t that employers don’t care about young people. It’s that the system has made it genuinely hard to act on that care.

A million young people locked out of work

Over one million under-25s in the UK are currently not in education, employment, or training (NEET). That number has been rising since the pandemic, at a cost of an estimated £20 billion in lost economic output. More than the macroeconomic number, there’s a human one: young people who spend extended time outside work or education face lower earnings and worse prospects for the rest of their lives. This is not a marginal policy problem.

We’ve been working in this space for nearly ten years. Thousands of young people have started their careers through a Multiverse apprenticeship and we have worked with over 1,500 employers. We know what works and we know what gets in the way.

Three forces reshaping early talent hiring

Three things are happening simultaneously that have led us to redouble our efforts here.

First, the economic squeeze. AI is optimising roles and reducing demand for entry-level work. Fewer vacancies mean more young people competing for less. The jobs that used to be natural on-ramps into careers are either disappearing or changing beyond recognition. The young people applying for them are just as capable and motivated as ever but the system isn’t keeping up.

Second, the policy shift. The Government has read the moment and is responding. It’s trying to build more incentives for under-25s, using cash and training subsidies to get young people into quality apprenticeships. The policy direction is clear. The challenge is whether the right programmes exist for that investment to flow into.

Third, the AI skills gap. This is the one that strikes me as most urgent. Young people know the jobs they’re entering look nothing like the ones their colleagues started in five years ago. They want future-proofed skills. But only 13% of early talent apprenticeships are in digital or business - the very skills they need most are the least available to them. That’s not a gap. It’s an open goal.

What Multiverse is launching: an AI-first apprenticeship for career starters

So we’re doing something about it.

This September, Multiverse is launching a new AI-first early talent programme. Built from the ground up for career starters. Designed around what employers told us they actually need from day one - not what existed when the last generation of standards was written. Our aim is to deliver 2,000 opportunities for young people annually.

It starts with data and AI literacy: the foundation. Then moves to responsible use - the guardrails and judgment that employers worry young people lack. Then to practical productivity and applying those skills to real workflows and processes from the outset. The goal is simple: a young person who starts with us should be able to contribute meaningfully, they should be fluent in the basics of data and AI. This means they are able to make data-driven decisions, derive insights from data, use data to tell stories, and optimise workflows with AI for themselves and those around them. It should give them the springboard they need and employers the confidence to hire them.

We’ve built this with four things in mind. Workplace readiness - behaviours and confidence, not just technical skills. Wraparound support - coaching, mentoring, and career guidance throughout. Structured AI literacy that’s practical, not theoretical. And Atlas, our 24/7 AI coach, so learners get help when they actually need it.

Our recommendations for government on early talent

We’ve spoken to hundreds of employers. The picture is consistent: they want to hire young people. They’re being held back by cost, complexity, and the absence of programmes that provide the foundational skills that young people need in the AI era.

We have views on what government should do to fix this structurally and we’ve published them. If you’re interested in the policy argument, including our seven concrete recommendations for reform, you can read the full paper here.

But policy moves slowly. What moves faster is employers deciding to act.

If you’re building a team and wondering whether an early talent programme could work for you, we’d like to talk. We’re opening early access to the September cohort now.
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Multiverse has launched a new AI and data training programme with Paragon, one of the UK’s biggest business service companies, designed to improve efficiency and strengthen growth opportunities across the business. 

The programme will train employees across 15 different departments in data and AI capabilities, embedding practical skills directly into daily workflows to streamline manual processes and increase productivity. By improving internal processes, Paragon's teams will be better equipped to enhance the services they deliver for clients.

The Academy also deepens the partnership between Multiverse and Paragon by creating new opportunities to enhance training capabilities, with Paragon's clients and their evolving needs at the centre.

David Phillips, COO at Paragon’s Outsourced Services division, said: “We’re now operating in an environment where efficiency and the ability to make faster, better-informed decisions have never been more important. At Paragon, we know that embracing technology, and giving our people the skills to use it, is crucial to meet this need. Our partnership with Multiverse is critical to this mission, helping us to enact our own digital growth strategy and unlock innovation that can improve the customer journeys for our clients across multiple industries.”

The programme is structured to support learners with varying digital skill levels, from technical beginners to established practitioners. By embedding training directly into daily workflows, newly acquired skills are applied immediately to real operational challenges, accelerating Paragon's digital transformation from the inside out. The result is a workforce where everyone, at every level of the business, is empowered to contribute directly to the company's innovation-led transformation strategy and long-term growth ambitions.

Jay Richman, Chief Product and Technology Officer at Multiverse, said: “Paragon sits at the centre of complex, high-volume business services, and the opportunity to apply AI and data skills to those workflows is enormous. That’s what we’re doing together: giving their people practical capabilities applied to real operational challenges, so they can streamline how work gets done, make faster decisions, and deliver stronger outcomes for their clients."

Multiverse, the upskilling platform for AI and tech adoption, today announced the opening of a new technology hub in Edinburgh. Following its recent $70m funding round, the hub marks an expansion of Multiverse's engineering footprint, placing an additional centre of technical excellence outside of London. Former Amazon leader Colin Mackenzie has been appointed as the company’s first VP AI Engineering to lead it, and will focus on developing agentic products.

Mackenzie brings more than a decade of engineering leadership experience to the role, most recently spending six years at Amazon. For the last three years he has built the generative AI platform that powers Amazon’s AI advertising products. Prior to this he held senior engineering roles at Virgin Money and Clydesdale Bank, saw a startup through to a successful exit, and founded his own business. Throughout his career he has had a focus on developing high-performing, high-agency teams that innovate around the latest technologies. He will oversee the Edinburgh hub's growth and bring his expertise to Multiverse’s AI talent development programme.

As part of its broader expansion, Multiverse will create 200 jobs in the next year across the new office and its London HQ, while continuing to grow revenue per employee. This will fuel its mission to translate AI’s potential into practical outcomes for employers across the UK and Europe. 

Colin Mackenzie, VP AI Engineering, Multiverse, said: "AI is changing how people work faster than they can retrain for it, and without equitable access to AI skills a lot of people get displaced and left behind. We need to innovate at pace to solve this problem, and thankfully Scotland has the world-class AI talent required to help us do it. When we get it right, we change lives at a national scale."

For incoming and existing tech talent, Multiverse is also launching an internal upskilling model, pairing high-agency junior AI engineers with senior engineering leaders. This approach treats mentorship as a core engineering function, accelerating the development of practical AI skills through on-the-job learning alongside experienced practitioners. 

Paired with delivering its AI product and data engineering apprenticeships, this reinforces the company’s commitment to equipping the whole workforce to win in the AI era, from frontline workers to frontend engineers.

Jay Richman, Chief Product & Technology Officer, Multiverse, said: "We're building the AI adoption layer for UK and European employers. That requires depth in the product, and in the team building it. The market problem is significant: AI capability is advancing faster than workforces can absorb it, and employers are under real pressure to close that gap. Edinburgh gives us access to additional world-class engineering talent, Colin brings the track record to lead it, and our model of pairing high-agency junior engineers with senior practitioners means we're building capability as well as headcount."

The announcements come as governments and employers intensify their focus on AI adoption as a driver of productivity and economic growth. Multiverse's model, combining employer partnerships with structured, outcome-focused learning, is directly aligned with that agenda.

Across the UK economy, businesses, public sector organisations and universities are driving ahead with AI adoption, supported by the skills delivered through Multiverse programmes. In the past six months, employers like BT, Pan Macmillan, Addison Lee, Capita, Evri and Keltbray have launched significant upskilling efforts, rolling out hundreds of AI, data and engineering apprenticeships between them.

Multiverse, Europe’s only EdTech unicorn, announced a partnership with Synthesia, the world’s leading AI video communications platform.

Under the partnership, Synthesia’s AI video platform will be formally integrated into Multiverse’s AI Learner Toolkit - a suite of tools its learners can explore to scope, build and deliver AI projects inside their organisations. Learners across Multiverse’s programmes will now have additional resources and guidance to implement Synthesia as a tool to design and deploy AI video solutions for their employers, alongside a range of other no-code, low-code and generative AI tools.

Learners have already begun applying Synthesia independently to drive real business impact across industries:

• Two local government learners deployed Synthesia to meet high-demand content needs - one halving production time entirely, another creating accessibility-compliant resident communications that shifted service delivery from assisted to digital channels
• A customer operations professional at an insurance company redesigned training for vulnerable customers, replacing manual live delivery with standardised AI-generated video modules - improving consistency, reducing workload and strengthening auditability
• A programme director at an international real estate company is using Synthesia to produce multilingual training materials at scale, replacing text-based content with engaging video, without the time and cost of traditional filming and voiceovers

The partnership formalises an existing relationship. Synthesia is already embedded in Multiverse’s own learning content, used to produce AI-powered video at scale across its programmes. This capability allows Multiverse to deliver dynamic, multimodal content that can be updated in real time, keeping pace with rapid technological advances. By blending this cutting-edge AI with its signature human coaching, Multiverse creates an AI-powered, human-led learning experience.

The announcement was first made at Synthesia Live London, where Multiverse CEO Euan Blair joined Synthesia CEO Victor Riparbelli for a fireside conversation on AI adoption and the future of workforce transformation.

Euan Blair, Founder and CEO of Multiverse, said: “The true power of AI occurs when brilliant tech meets human capability. Together with Synthesia, we are turning that vision into reality, putting world-class video AI straight into the hands of our learners to become creators and innovators. They are finding the real-world use cases that improve productivity and create tangible outcomes. And this is how widespread AI adoption actually happens.”

Victor Riparbelli, Co-founder and CEO of Synthesia, said: “We’re at a rare inflection point: AI is becoming genuinely capable, and at the same time, upskilling and reskilling workforces is now a board-level priority. The question isn’t whether organisations need to transform - it’s how fast they can build the human capability to make it real. Synthesia and Multiverse sit at exactly that intersection. Embedding Synthesia into Multiverse’s programmes means tens of thousands of learners will learn to create, communicate and share knowledge, enhanced by AI.”

The partnership reflects a shared conviction that AI can supercharge what humans are able to achieve. With more than 30,000 learners across the UK, Multiverse works with employers across financial services, public services, professional services and beyond to equip workforces with the practical AI capability needed to compete. Synthesia’s platform is used by more than 65,000 businesses globally, including 90% of the Fortune 100.

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RSK has launched a strategic partnership with upskilling platform Multiverse to train an initial cohort of 33 employees in advanced AI applications. The partnership is designed to support RSK’s ongoing emphasis on innovation and technological advancement.

With more than 200 businesses, RSK Group will benefit from AI fluency across core functions and divisional teams. By empowering staff to embed advanced AI capability to support their work, teams can shift their focus to the strategic, high-value work that drives revenue.

Gary Eimerman, Chief Learning Officer at Multiverse, said: "We’re proud to partner with RSK, turning AI literacy into a shared language across its businesses. This mastery of AI will serve as a force multiplier, allowing teams to unlock hidden efficiencies and scale their impact. Together, we’re building a future-proof foundation that supports RSK as the group continues to find solutions to complex environmental challenges."

Dr. Ian Goodacre, Group Divisional and Board Director at RSK, said: “At RSK, our strength lies in our vast, multi-disciplinary expertise. This partnership with Multiverse is about empowering our people to harness that collective intelligence. AI support will allow our teams to focus on the high-value, creative problem-solving that helps us achieve efficiencies, stay competitive and continue to deliver outstanding results for our clients."

The 33 learners are enrolled across three programmes with Multiverse’s AI portfolio:

• AI Strategy and Leadership, Level 5: Designed for leaders to align AI initiatives with specific business areas and broader strategic goals.
• AI for Business Value, Level 4: Empowers teams to identify and implement tailored AI solutions that drive measurable business impact, focusing on process optimisation.
• AI-Powered Productivity, Level 3: Boosts team productivity by integrating GenAI tools into daily tasks to automate repetitive workflows and drive measurable efficiencies.

This partnership is part of an important step in RSK’s digital transformation. In fostering a culture of mastery and technological confidence, RSK is positioning its team to navigate the accelerating pace of the global working world and solve complex client problems with innovative, bold solutions.

LONDON – 15th May, 2026 – Multiverse, the upskilling platform for AI and tech adoption, today announced it has raised $70 million in primary funding to drive growth across Europe. The funding was led by Schroders Capital, with participation from existing investors including General Catalyst, Lightspeed Venture Partners, D1 Capital Partners, Index Ventures, Bond, and StepStone Group. 

The investment will accelerate Multiverse's expansion across Europe, with the goal of ensuring that AI benefits the workforce, rather than displacing it. It lands amid accelerating company growth driven by UK enterprise adoption, and strategic acquisitions. Multiverse completed the acquisition of Berlin-based data and AI training company StackFuel in January 2026. 

The $2.1bn valuation, a $400m increase on the last funding round, reflects a company in its strongest position yet: revenue grew 50% yoy, and increased at an accelerating rate for the third consecutive year. For the first time, Multiverse had a cash-positive quarter from January to March 2026. Alongside this raise, all employees regardless of seniority have been offered equity and a long term stake in the company as a result of the funding round.

Defining a new category: the AI adoption layer 

Businesses and governments across the UK and Europe are investing heavily in artificial intelligence, with AI spend doubling since last year according to BCG’s 2026 AI Radar. Yet the much promised productivity gains remain elusive. The missing ingredient is not more technology tools, it is a skilled workforce capable of deploying them. Corporate AI trailblazers in the BCG report invest twice as much in upskilling their workforce as AI followers. 

Multiverse was built to ensure workers don’t get left behind by the rapid pace of technology. Today that means closing the gap between workers and tech, in effect acting as the AI adoption layer of the technology stack. Its platform diagnoses precise skills gaps, matching corporate goals against workforce capability to give leaders a holistic view and detailed recommendations for upskilling. Multiverse then equips workers at every level with the AI, data and digital skills to translate technology investment into measurable outcomes. To date, the company delivered more than £2 billion in verified ROI for over 1,000 employers, including critical national security with Babcock and household names like The AA, Capita and Addison Lee.

With 50% revenue growth last year, driven by new customers and continued demand from existing customers the strategic investment is intended to fuel further expansion. The last year has seen an increasing focus on strategic alliances, with tech platforms including Microsoft, Palantir, and Databricks partnering with Multiverse. Atlas, its AI coaching platform, tripled daily active users in the last year.   

"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," said Euan Blair, CEO and Founder of Multiverse. "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."

Multiverse's thesis, that AI's greatest value lies in expanding human capability, not replacing it, is drawn from extensive employer experience. CEOs surveyed by Multiverse cited skills gaps as the second biggest barrier to AI adoption, ahead of regulation and data quality.

Chancellor of the Exchequer Rachel Reeves said: “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.”

“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.”

Michael Mclean, Head of Private Equity Technology Investments, Schroders Capital, said: “The evolution of AI is creating transformative opportunities to drive productivity and growth across global economies,” “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.

"High-quality businesses with the potential for transformative, sustainable growth and value creation are key fundamentals we look for. We're therefore delighted to have led this significant fundraise as Multiverse further accelerates its growth journey."

Growth has been driven in large part by deepening business with existing customers. 

Lynsey Valentine, Strategy Director at Babcock, said: “Multiverse has helped us tackle a growing complexity and volume of data by equipping our people with practical, real‑world data skills. Our teams are already applying what they’ve learned to automate processes, unlock insight, and drive meaningful improvements well before graduation.”

Lisa Pinfield, Group Director of Performance & Development at Capita, said: “At Capita, we chose Multiverse because they enabled us to build critical AI and data capability at scale, in a way that is practical, inclusive and closely aligned to real business needs. The partnership has helped us turn AI ambition into real impact, equipping colleagues with future‑critical skills while strengthening performance and decision‑making across the organisation.”

Patrick Gallagher, CEO at Addison Lee, said: "We are delighted with the impact of our partnership with Multiverse, which plays a vital role in Addison Lee’s ongoing digital transformation. It has been incredibly rewarding to see our colleagues at every level of the business respond with such resounding positivity toward this opportunity to learn and progress. As we navigate an increasingly complex and rapidly changing landscape, this collaboration ensures our workforce remains equipped with the essential skills to drive our business forward."

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Staffordshire Police is teaming up with AI upskilling platform Multiverse to pilot a new apprenticeship scheme designed to upskill staff on AI. A total of 15 team members from across the organisation will learn how to use AI to enhance their processes and increase efficiency.

Individuals in the cohort were selected to participate based on the nature of their current role and responsibilities in force. The pilot is aimed at developing their understanding of the technology and harnessing data to strengthen existing ways of working.

John Bowler, Director of Digital, Data and Technology at Staffordshire Police, said: “From creating simple AI tools to support everyday tasks such as drafting and responding to emails, to helping teams deliver complex processes more effectively, this will be another practical tool in the toolbox for our people – both now and moving forward.

“By developing these skills in a safe and structured way, we can share knowledge and build confidence across the force, strengthening our data and digital capability and helping to build a workforce that is ready for the future.”

Rebecca Crellin, Apprentice Manager at Staffordshire Police, said: “This is an incredible opportunity for those involved in the trial to develop their skills and learn how best to use AI effectively. We had significant interest in the trial and hope that once this latest cohort completes their qualifications, there may be scope for further opportunities in the future.”

Katie Russell, Head of Learning and Organisational Development at Staffordshire Police, added: “This is an exciting opportunity for us as an organisation to further learn how best to harness AI to enhance efficiency and improve processes while developing our understanding of this ever-advancing technology.

“I am pleased we have been able to partner with Multiverse on this pilot and look forward to seeing the impact of the learning in the confidence of our learners and in improvements within our organisation.”

Gary Eimerman, Chief Learning Officer at Multiverse, said: “For public services like policing, the opportunity to use AI to automate administrative burdens and unlock deeper insights from data is transformative. By equipping these 15 pioneers with the ability to build and deploy AI tools responsibly, we are ensuring the force remains agile and effective in a digital-first world. We are proud to support the Staffordshire Police in leading the way for vocational, applied learning in this critical field.”

Multiverse is the upskilling platform for AI and tech adoption, which delivers personalised, on-the-job learning. Multiverse has trained more than 30,000 apprentices in AI, data and digital skills since 2016. 

Over 1,500 companies work with Multiverse to deliver a new kind of learning that’s transforming the workforce at scale. Programmes are targeted at people of any age or career stage.

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