The Multiverse blog

A native New Yorker with a career built at the intersection of culture and technology, Jay’s fingerprint is on some of the most foundational tech products of the last two decades. From the early days of Hulu to a decade-long tenure helping scale Spotify from a startup to a global powerhouse, and most recently leading AI-driven commerce systems at Amazon, Jay has a proven track record of finding the next before it becomes the now.

Now, he’s moved to London to lead the next phase of the Multiverse product journey. We sat down with him on his first day to talk about his bet on the future of AI, the cultural discipline of dogfooding, and the lessons in timing he’s carried from Spotify and Amazon to Multiverse.

Press release.

As you start this new chapter at Multiverse, what’s one cultural ritual you’re excited to establish to ensure we keep building at the highest possible standard?

Dogfooding.

We should never subject customers to an experience we would not subject ourselves to. If we are lifelong learners, we should be taking the courses we offer and using the products we build as real customers do.

If something frustrates us, confuses us, or feels harder than it should be, we fix it. And we fix it quickly.

We are only as good as the product we put into the world. There is no such thing as a great team building a bad product. And there are no great products that emerge by accident from teams that are not deeply invested in the experience.

To be truly customer obsessed, we have to live with our products every day. We should feel embarrassed when they fall short and genuinely proud when they delight.

That discipline is how high standards become a habit.

Every great CPO leaves a fingerprint on the team they lead. When you look back two years from now, what would you like Multiverse to be known for in the tech community?

I’d like Multiverse to be known as the company that took a different bet.

While much of the tech industry is focused on humans making machines smarter, Multiverse focused on building machines that make humans smarter.

I’d want us to be known for proving that AI can strengthen judgment, accelerate learning, and expand human capability in real work, not just automate tasks or generate outputs. For building systems that people trust because they genuinely make them better at what they do.

If the tech community looks at Multiverse and sees a company that chose depth over hype, capability over convenience, and long-term human impact over short-term efficiency, that’s a fingerprint worth leaving.

That reputation would matter more to me than any single product or feature.

Describe your career in your own words.

I’d describe my career as a long arc of building at the edge of what’s next, and learning a lot about timing along the way.

I’ve always been drawn to inflection points. Moments when technology shifts behavior, but the path forward isn’t obvious yet. I tend to spot those trends early and lean into them, even when the outcomes aren’t guaranteed.

Sometimes that meant being too early. Early in my career, I worked on one of the very first consumer mobile apps built for the Palm Pilot pre-smartphone era. The idea was right, but the world wasn’t ready. The devices needed cellular connectivity, a real app ecosystem, and infrastructure that simply didn’t exist yet. That experience taught me an important lesson: innovation isn’t just about seeing the future, it’s about understanding what needs to be true for it to arrive.

Other times, it meant being early but patient. I was part of the launch of Hulu, one of the first major video streaming platforms. While the direction was obvious, mainstream adoption took years to develop. Consumer behavior had to catch up and the industry needed time to recalibrate.

At Spotify, the timing was different. The world was ready after Napster. People clearly wanted on-demand access to music. But the business model didn’t exist yet. That challenge required innovation across product, monetization, creator economics, and licensing. It wasn’t just about building a great experience, it was about inventing a system that could sustain it.

More recently at Amazon, I’ve been working exclusively on AI products since the moment ChatGPT launched in November 2022. What immediately stood out to me was not just the capability of the technology, but the speed at which it would reshape work itself. That recognition has driven my focus ever since: not just on what AI can do, but on how it changes skills, roles, and expectations.

Looking back, the common thread is a deep curiosity about where things are going, a willingness to act early, and a growing appreciation for timing, execution, and systems that can turn breakthrough ideas into lasting impact.

What’s your fun fact!

The first time I ever went skiing was in college, and I did it in the least sensible way possible.

I had never skied before. I’d never taken a lesson. I joined the ski club anyway, bought second-hand boots and skis that were far too long, wore jeans, a thin shell jacket, no helmet, and went out on opening night.

It was about -29°C, after dark, and the only trail open on the mountain was a double black diamond.

It took me nearly two hours to get down. Every crash meant my skis and poles were scattered somewhere uphill, so I had to hike back up to collect them before continuing. When I finally made it to the bottom, exhausted and frozen, I got back on the lift and went again.

I’m not sure what that says about me, or how “fun” the fact really is, but it’s one of those stories people tend to remember.

Jay’s arrival marks a new chapter for our Product and Engineering teams, one defined by high standards and a relentless focus on human-centric AI.

If you are a builder who wants to join us on our journey, we’re hiring across our Tech team. Click here to see our live jobs.

Multiverse, the upskilling platform for AI and tech adoption, today announced the appointment of Jay Richman as Chief Product Officer. Richman, a veteran product leader who most recently led the development of agentic AI systems at Amazon, is relocating from New York to London to take on the role.

As Chief Product Officer, Richman will oversee the continued growth and development of Multiverse’s technology platform. The Multiverse platform has enabled more than 30,000 learners across 1,500 customers to close their skills gaps through an end-to-end solution that unlocks productivity through a mixture of human expertise and a Socratic AI coach, Atlas. Atlas has more than tripled its daily active users in the last year.

Richman joins Multiverse as the next step in a career that has seen him build products at the centre of emerging technology movements multiple times over. He worked on the launch of Hulu, one of the first major streaming platforms, before spending a decade at Spotify, where he was instrumental in scaling the company’s advertising, subscription and podcasting businesses. After helping ready the company to go public, he moved to Amazon, where he focused on building AI-driven systems that create and optimise content through generative and agentic AI.

“Multiverse feels like the right company, in the right place, at the right time,” said Jay Richman, Chief Product Officer at Multiverse. “While much of the tech industry is focused on humans making machines smarter, Multiverse is taking a different bet: building machines that make humans smarter. Central to this is building a great product experience that customers want to keep coming back to, which will help us to scale this mission globally.”

His move to London comes at a time of heightened global competition for tech talent, and demonstrates the draw of the UK capital as a place for companies to scale.

On his move to the UK, Richman added: “As a native New Yorker, I don’t say this lightly, but London genuinely feels like a city on the upswing. The talent density is remarkable and it has become a place where people from all over the world come not just to work, but to build.”

Euan Blair, CEO and Founder of Multiverse, said: "Jay has built technology platforms that reshape how people interact with media, commerce, and content, driving meaningful shifts in behaviour at scale. As we expand our efforts to equip as many people as possible with the skills to seize the opportunities of technology, Jay’s experience building enterprise-grade AI systems deployed globally will be vital. He shares our conviction that AI’s greatest value lies in expanding human capability and judgment, rather than just driving short-term efficiency."

The appointment follows Multiverse surpassing $100 million in revenue in the last financial year, with net revenue retention also now above 120%. The company recently expanded into Germany, with an ambition to upskill 100,000 German workers to help close the widening digital skills gap.

Multiverse has trained more than 30,000 apprentices from customers including Babcock, John Lewis Partners and KPMG in AI, data and digital skills since 2016.

Brentwood Borough and Rochford District Councils are strengthening their digital capabilities through enrolment in digital and AI productivity programmes with Multiverse. The 33-strong cohort will increase digital literacy and AI adoption across both councils, while helping build a digital-first culture aligned with each council’s new Digital Strategy for 2025-2028.

With ambitions to become two of the most digitally equipped councils and address systemic resource challenges, the councils aim to equip teams with the skills and knowledge to use AI tools and boost productivity without the need for additional IT and technical support. This will reduce admin bottlenecks and free up time to improve local public services.

Both councils have enrolled in Multiverse’s Data & Insights for Business Decisions and AI-Powered Productivity courses. Staff will build the technical and analytical skills needed to turn data into actionable insights, while the ‘AI Powered Productivity’ course will introduce AI fundamentals and upskill teams in tools such as Microsoft 365 Copilot and Gemini.

Jonathan Stephenson, Chief Executive of Brentwood Borough Council and Rochford District Council said: “As part of our ambition to improve how we serve our local community, we want to equip staff with the skills and knowledge needed to effectively manage resources. Our partnership with Multiverse will support us to embrace new technologies to help us better understand our resident’s needs and target support more effectively.”

Sarah Bennett, Director of Customer and Digital at Rochford District Council added: “Ultimately, we want to deliver the best possible service outcomes for our communities. To do this, it’s vital that we begin embracing digital technologies to deliver more sustainable services and protect our staff from increasing demands. Partnering with Multiverse means our staff are equipped with the skills needed and we can start to embed a digital-first culture across the organisation. It’s an exciting step forward for the council.”

Gary Eimerman, Chief Learning Officer at Multiverse said: “By investing in AI tools and improving digital capabilities through training, Brentwood Borough and Rochford District Council are empowering teams to adapt to future change, enabling better outcomes for the communities they serve. We are proud to support both councils realise these new capabilities and help them unlock new efficiencies to better support their communities and staff.”

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.

Keltbray, a leading construction engineering services provider, is training 25 of its staff through upskilling platform Multiverse. The programme aims to increase team capacity and develop its portfolio in the energy, digital, industrial and nuclear sectors.

Most of the cohort will be enrolled on Multiverse’s Level 3 AI Powered Productivity course, supporting them to effectively leverage GenAI, with the use of tools like Microsoft 365 CoPilot. The remaining learners will join the Level 3 Data & Insights for Business Decisions programme, empowering them to turn data into actionable business insights. By harnessing these tools and skills, the learners will spend less time on repetitive manual tasks, improve communication streams and enhance data analysis, strengthening security and compliance across services.

The training will also serve Keltbray’s wider business impact, creating a more inclusive and accessible workplace. Learnings will support the company to focus on strategy, streamline tasks and improve overall results for clients, allowing teams to focus time on driving contracts in fast developing sectors.

James Dawson, Head of Learning and Development, at Keltbray said: "We’ve launched the Keltbray AI Academy because we’re at a point now where improving our Data and AI capability isn’t just a nice-to-have — it’s become essential. The work we do is getting more complex, the expectations are higher, and the opportunities are bigger. Building a strong foundation in these critical skills will strengthen our position within the industry and support our continued expansion into new sectors.”

Gary Eimerman, Chief Learning Officer at Multiverse said: "In order for Keltbray to continue to grow their established and diverse portfolio across construction and engineering, team collaboration and strategic planning is key. The launch of our latest AI Academy presents an exciting opportunity to support staff in advancing toward the organisation’s objectives, while nurturing talent development across the business."

Multiverse is the upskilling platform for AI and tech adoption, which delivers personalised, on-the-job learning. Multiverse has trained more than 20,000 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.

Liverpool John Moores University (LJMU) has launched an AI Academy for 134 staff, in partnership with upskilling platform Multiverse. Training will be delivered to staff from across the whole university, from academics to professional services staff working at all levels and in all aspects of the university community.

The academy will help LJMU staff use AI to reduce time spent on manual administrative tasks, strengthen data handling capabilities, improve financial resilience and build a consistent, institution-wide approach to responsible AI use.

Learners will be enrolled on Multiverse’s Level 3 AI-Powered Productivity, which helps teams use GenAI effectively in their daily tasks, driving efficiencies with tools like Microsoft 365 Copilot or Gemini. The AI for Business Value and AI and Machine Learning Fellowship programmes will build the skills needed to use AI responsibly, overhaul processes, and convert data into actionable insights. Level 5 AI Strategy and Leadership will support teams to guide AI implementation across the organisation.

By becoming comfortable with AI tools, the learners will unlock a projected 4.5 hours of time savings each week by streamlining reporting and automating repetitive workflows such as note-taking, triage, and document preparation. This saved time can be spent on higher-value activities, including student support, teaching, research, and writing.

LJMU Vice-Chancellor, Professor Mark Power says: “Our partnership with Multiverse is the key to building confidence in our staff and refocusing time and resources on what matters most – our students.

“Our priority is delivering outstanding teaching and learning to support our students in achieving their ambitions and aspirations. Every one of our staff is crucial to that aim and it’s important that we can realise the benefits of AI across the institution. I look forward to seeing how our AI pioneers progress and apply their knowledge during the course of this programme.”

Gary Eimerman, Chief Learning Officer at Multiverse said: “We’re proud to be partnering with an institution that is placing people and resources at the centre of its approach to AI. Liverpool John Moores University plays a crucial role in supporting students, staff and communities across the city and we’re excited to help teams to develop the skills and confidence that enable them to work more efficiently.”

As part of its broader upskilling programme in the UK, Orange Business, the enterprise division of Orange, has partnered with Multiverse, a leading digital skills education provider, to deliver tailored data and AI training to 50 UK-based team members. Focused on developing data management and AI capabilities, the success of the programme is being highlighted as part of National Apprenticeship Week.

Following a successful pilot, the programme was expanded over the past year, reflecting Orange Business’s strategic focus on digital transformation, improved productivity, and talent development.

Tim Cooke, Regional Solutions Director at Orange Business, a senior professional with more than 30 years’ experience, is among those to have completed an in-depth learning programme with Multiverse. As a result, his productivity has improved significantly, reducing delivery times from weeks to days and accelerating his ability to deliver detailed market and competitive analysis.

Cooke said: “At this stage in my career, it’s important to be intentional about how I keep learning and developing. The training with Multiverse was grounded in foundational knowledge, well-structured and the learnings have become a practical toolkit I use every day. I can now quickly research and deliver comprehensive analysis to my team in as little as 30 minutes, transforming how we work.”

The apprenticeships will run for 13 months, supporting the Orange Business UK teams to optimise processes, identify ethical AI opportunities for its customers, and futureproof for increasing levels of AI integration across the UK business.

Simon Ranyard, Managing Director for Northwest Europe at Orange Business added: “Digital and data skills are no longer an option; they are fundamental to business success. This UK-focused apprenticeship program with Multiverse is a key part of our broader global approach to upskilling our employees. By investing in these skills here in the UK, we are proactively preparing our workforce for the future. This initiative is a win-win, supporting both our people and our strategic objectives to better support our customers.”

Gary Eimerman, Chief Learning officer at Multiverse commented: "Orange Business in the UK has recognised the need to equip its workforce with the relevant skills to take AI and data enabled transformation from ideation to realisation. Through these academies with Multiverse, employees will develop new skills, enhance their capabilities, and contribute to improved operations and customer experiences.”

The newly launched data and AI academies will see staff embark on a range of apprenticeship programmes tailored to a wide range of skills levels and job requirements. This includes Data Fellowship, for enhanced data analysis skills, AI for Business Value, which equips teams with the skills to harness AI for measurable impact, and AI-Powered Productivity, to help employees use Generative AI effectively in their daily tasks.

Multiverse is the upskilling platform for AI and tech adoption, which delivers personalised, on-the-job learning. Multiverse has trained more than 20,000 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.

The AA today announces a new partnership with Multiverse, the upskilling platform for AI and tech adoption, to build future-ready AI skills across the organisation through its AI for Business Value Apprenticeship Programme. The initiative marks a further milestone in The AA’s AI strategy, which is grounded in delivering “Digital convenience with Human care.”

The partnership moves The AA beyond experimentation and into scaled capability-building, embedding AI skills directly into roles across the business. Designed for individual contributors, the apprenticeship focuses on developing practical, hands-on AI skills that can be directly applied to business challenges. Colleagues are already translating learning into action, using AI tools and techniques to improve decision-making, efficiency and performance.

Colleagues across multiple areas of the business are delivering early impact, including within Customer Operations, where AI-driven insights are supporting improvements in resource planning and operational efficiency. These early results demonstrate how targeted investment in AI skills is enabling The AA to unlock value at pace.

Louise Benford, Chief People Officer, The AA, commented: “As AI continues to transform the way we live and work, we’re choosing to embrace that change with ambition, clarity and care. Through this investment in our people and their skills, we will work with Multiverse to inspire colleagues across The AA with the confidence to work productively alongside AI, while keeping human judgment, creativity and care at the heart of every decision.”

Nick Edwards, Group Chief Digital Officer, The AA, commented: “Our partnership with Multiverse supports our responsible approach to AI adoption, as we continue to use technology to deliver clear value and scale what works to remain always ahead. It also reflects The AA’s ongoing commitment to preparing colleagues for the future of work, by equipping them with the technical skills, data fluency and cross-functional understanding needed to embed AI effectively."

Euan Blair, Founder and CEO, Multiverse, commented: “The AA’s commitment to ‘Digital convenience with Human care’ is a perfect mission-match for Multiverse. Real AI adoption only works when it is human-centric; we need to meet technology with skills to achieve meaningful results. We are proud to empower these 50 learners with the technical fluency and confidence they need to enhance the service they provide, ensuring that people remain at the heart of The AA’s digital evolution."

That’s why, at the start of last quarter, we decided to put the roadmap "on ice" for one week. We paused our standard tickets for our bi-annual Hackathon, inviting everyone across the Tech org, including Engineers, Product Managers, Designers, Security, Data Privacy, and IT to come together and build something new and innovative.

The theme? "The Future is..."

To get into the right headspace, we left our usual desks and set up shop at a dedicated space external to our Paddington office. Tool-wise, we used Backstage, our internal developer portal, in addition to the SkillExchange plugin to crowdsource ideas.

The result? 25 distinct pitches

On the Thursday before the event, idea owners pitched to the group, rallying teams around their vision. We then kicked off Monday with our VP of Engineering, Helen who set the goals for the week. But we didn't just want to code; we wanted to learn. We invited guest speakers from Tessl to discuss evaluating AI agents, and Cursor to share best practices on leveraging AI for product and engineering workflows.

With teams formed and skills matched, the middle of the week was dedicated to deep work. The energy was electric. Teams mixed seniority and discipline; mid-level developers leading discussions and Product Managers getting hands-on with the code.

We saw a massive surge in AI adoption and Developer Experience tooling, balanced with a strong focus on directly improving the experience for our customers and learners, here are some examples:

• Learner experience: Many projects focused on improving the learner experience, such as linking learning directly to a learner’s project problems, personalising content for greater relevance, and designing gamified journeys that reward progress to drive daily engagement.
• AI agents and knowledge capture: One team designed a multi-agent system to automate support ticket research. Another team built bots to reduce repetitive Slack questions. Two groups tackled the challenge of retaining "tribal knowledge" by using Retrieval-Augmented Generation (RAG), unifying various scattered sources and transforming every GitHub PR and Linear Ticket into queryable institutional knowledge, not only improving developer experience but accelerating onboarding time for new joiners.
• DevEx wins: Teams built tools to automate code changes across multiple repositories, and smart test-selectors that identify exactly which tests to run based on codebase changes.

Thursday was the finale. Every single team presented a strict, three-minute pitch to show what they built in just three days.

Our Founder and CEO, Euan Blair, joined senior leaders from our Tech and Customer Success organisations to judge the projects across three specific categories:

1. Most Impactful: How significantly does this improve the experience for customers, learners, or employees?
2. Most Innovative: Does this push boundaries? Does it use AI in a novel way?
3. Most Likely to Ship: How feasible is this? Can we realistically implement it?

We also had a People's Choice Award, voted on live by all hackathon attendees.

The shining light of the week though, in addition to the seriously impressive work in just a couple of days, was the collaboration and team culture we saw. Seeing people who might not usually work together, the diversity of opinions, and watching mid-level devs step up to lead complex projects was the real win.

“What stood out most was the speed to prototype, curiosity, collaboration, and care our teams brought to every idea. Seeing everyone learn from each other, explore new possibilities, and have fun together reminded me why moments like this are so special!”

- Helen, VP of Engineering

We aren't letting these ideas gather dust. We have already reviewed these to decide how best to productionise them and officially add them to our roadmap.

Does this sound like the kind of engineering culture you want to be part of? We are actively hiring in Tech, see live roles here.

Instead of a level playing field, we’re seeing a widening AI adoption gap that threatens to leave a huge portion of the workforce in the digital dust.

The reality? Most companies are treating AI upskilling like a generic software update. But as the numbers show, a one-size-fits-all approach is a recipe for stagnation.

The Seniority Divide: Who’s Actually Using AI?

The most striking trend in our latest analysis is the massive disparity in daily AI usage based on job level. While 52% of mid-level workers collaborate with AI daily, only 21% of junior employees do. This 30-percentage-point gap presents a pipeline problem: If the next generation of talent isn't learning to work alongside AI today, we’re creating a future skills bottleneck.

The research also found a significant divide between those steering the ship and those doing the specialised, day-to-day tasks. Of middle managers, 48% are using AI regularly, while only 20% of individual contributors do the same. When nearly half of managers are leveraging AI but only a fifth of their direct reports are, the productivity gain of AI stays trapped at the top, rather than fueling the engine of the entire team.

While senior staff and middle management have leaned into the tech, junior employees and individual contributors are being left to figure it out on their own.

The Perception Gap: A 17-Point Reality Check

It’s not just that usage is uneven—it’s that leaders often don’t realise how uneven it is. There is a significant disconnect between what’s happening in the C-suite and what’s happening on the ground: 59% of leaders believe their teams are regularly engaging with AI, but in reality, only 42% of employees are doing so.

This 17-percentage-point perception gap suggests that while leaders are sold on the vision of an AI-powered workforce, they haven't yet provided the practical, job-specific pathways to get there.

The Solution: Training for the Real World

The bottom line is clear: One-size-fits-all upskilling benefits no one. You can't give a data analyst and a marketing coordinator the same prompt guide and expect magic to happen.

That’s why we’ve expanded our portfolio of AI programmes to make sure we can teach anyone, in any job, how to use AI to be more effective at work. To date, we’ve trained 1,220 unique job titles. Today, we’re taking that a step further by introducing:

• AI Solutions Builder: Designed to develop agentic AI experts who design custom tools to boost productivity.
• AI Transformation Architect: To train experts to orchestrate and scale automation across the entire enterprise.

Whether you're looking to empower a junior contributor or train a specialist to overhaul your entire workflow, the training must be as specific as the role itself.

Ready to Close the Gap?

If you’re ready to move past the AI hype and start seeing real-world ROI across your entire organisation, we’re here to help. Learn more about our full offering here.

Addison Lee is signalling a clear commitment to its team’s long-term development, and a bold shift in its 50-year legacy. The capital’s premier ground transportation and courier provider is moving beyond its roots as a traditional fleet operator to become a data-driven logistics powerhouse, by launching a new training scheme in partnership with upskilling platform Multiverse.

This initiative is the cornerstone of a new strategic direction designed to solve for growth in an increasingly complex urban landscape. By empowering AI and data literacy across its organisation, Addison Lee is evolving its business model to meet the surging demands of a modern, fast-paced London.

Addison Lee is enrolling 20 team members into Multiverse programmes, where they will learn how to use AI and predictive modelling to:

• Anticipate market demand: Moving from reactive scheduling to proactive deployment.
• Optimise urban logistics: Reducing dead mileage and ensuring the most efficient routing for every courier and passenger journey.
• Scale operations: Using data-led insights to identify and capture new market opportunities across the UK.

Programmes include Level 3 Data & Insights for Business Decisions and the Level 4 Data Fellowship, which empower learners with the skills to navigate programming, modelling and analysing data, so they can harness insights that have a measurable impact on the business.

The training scheme will also include the Level 4 AI for Business Value and the Level 6 AI & Machine Learning Fellowship, courses which will help teams to identify ethical AI opportunities and drive adoption of these opportunities across the business.

By applying these learnings, Addison Lee will be able to optimise daily operations, from rota scheduling to demand forecasting, reducing wasted time on the road and turning data insights into tangible business gains.

Patrick Gallagher, Interim CEO at Addison Lee said: “As we mark National Apprenticeship Week at Addison Lee, we’re taking a fresh approach to how we grow our business and prioritise the development of our teams. By integrating data and AI we can more easily predict when and where customers need us and continue to deliver a reliable service across London. On top of that, we will be able to support our drivers more effectively and have the resources and knowledge to drive internal efficiencies across our business.”

Gary Eimerman, Chief Learning Officer at Multiverse said: “Addison Lee is a household name, but their vision for the future is what makes this partnership so compelling. They are recognising that the clearest path to growth lies in the potential of their people. By mastering AI and data, their team is proactively shaping the next era of London logistics and ensuring the business remains a leader in a rapidly evolving market.”

Multiverse is the upskilling platform for AI and tech adoption, which delivers personalised, on-the-job learning. Multiverse has trained more than 20,000 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.