30 Innovative Brands of the Year 2026

Upskilling Platform for AI And Tech Adoption: Multiverse

Today, we work with over 1,500 global companies, including Microsoft, Mars & John Lewis Partnership, to help upskill their team and unlock people’s potential and output.

By SBR
April 30, 2026 9:15 PM Updated April 30, 2026
Euan Blair, Founder & CEO, Multiverse Photo by SBR

Euan Blair, Founder & CEO, Multiverse


For decades, access to high-quality careers has followed a familiar pattern. Formal education, degrees, and established networks have often determined who enters high-growth industries. This structure has left many capable individuals outside traditional pathways, even as businesses struggle to find people with the right skills.

Multiverse builds its work around a different premise. It focuses on opening access to economic opportunity through skills rather than credentials. The company develops apprenticeship programmes that allow individuals to learn while working, creating a direct link between education and employment.

This model addresses a structural gap. Many roles in data, software, and artificial intelligence require applied skills that are not always taught effectively in traditional education systems. By embedding learning within real work environments, Multiverse creates a pathway where individuals gain experience and knowledge at the same time.

The result is a system that connects talent with opportunity more directly. Instead of relying on prior qualifications as a filter, it prioritizes capability and growth. This allows individuals from diverse backgrounds to enter fields that were once difficult to access.

Learning Through Work, Not Around It

Multiverse’s programmes are built on the idea that learning is most effective when it is tied to real tasks. Apprentices do not step away from work to study. Instead, they develop skills while contributing to their organization.

This structure creates continuity between learning and application. Concepts introduced during training are applied immediately in the workplace, reinforcing understanding and improving retention. Over time, this leads to stronger skill development than isolated classroom instruction.

The programmes focus on areas where demand continues to grow, including data analysis, software engineering, and artificial intelligence. These fields require both technical knowledge and the ability to apply that knowledge in practical scenarios. By integrating learning with work, Multiverse ensures that both aspects develop together.

Employers also benefit from this model. Instead of hiring talent that requires extensive onboarding, organizations can develop skills internally. Apprentices contribute to projects while building expertise, creating value throughout the learning process.

This alignment between education and employment reduces the gap that often exists between qualification and capability. It creates a system where learning is not a separate phase but an ongoing part of professional development.

Closing Skills Gaps Across Industries

Businesses across sectors face a persistent challenge. The demand for skills in technology and data continues to grow, yet supply often falls short. Traditional hiring methods struggle to keep pace with this demand, leading to gaps that affect productivity and growth.

Multiverse addresses this issue by working directly with organizations to develop talent pipelines. Companies partner with the platform to train employees or new hires through structured apprenticeship programmes. This creates a consistent flow of skilled workers aligned with business needs.

The focus on skills rather than credentials allows organizations to access a broader talent pool. Individuals who may not have followed conventional education routes can enter high-demand roles through these programmes. This expands opportunities while helping businesses fill critical positions.

The model also supports long-term workforce development. As industries evolve, the need for new skills does not remain static. Multiverse’s system allows organizations to adapt by training employees in emerging areas, ensuring that capabilities remain aligned with changing demands.

This creates a more flexible workforce structure. Instead of relying solely on external hiring, businesses can develop skills internally, reducing dependency on competitive job markets.

Building a Skills-Based Economy

Multiverse’s broader vision extends beyond individual programmes. It reflects a transition toward a skills-based economy, where capability matters more than formal credentials.

This transition reshapes how careers are built. Individuals no longer need to follow a single educational pathway to access high-quality roles. Instead, they can enter the workforce, develop skills, and progress through experience and learning combined.

The model also changes how organizations evaluate talent. Hiring decisions can focus more on demonstrated ability rather than academic background. This opens opportunities for individuals who may have been overlooked under traditional systems.

Technology plays a role in enabling this system. Digital platforms support learning delivery, track progress, and connect apprentices with mentors and resources. This ensures that programmes remain structured while adapting to individual needs.

The emphasis on equitable access runs through the company’s work. By lowering barriers to entry, Multiverse creates pathways for people who might otherwise be excluded from high-growth sectors. This expands participation while supporting economic development.

Multiverse’s work reflects a broader change in how education and employment connect. By linking learning directly with work, it removes many of the barriers that have traditionally separated the two.

The system aligns individual development with organizational needs. Apprentices gain skills that are immediately relevant, while businesses build capabilities that support their objectives. This alignment creates value on both sides.

As more organizations adopt this model, the structure of workforce development begins to change. Learning becomes continuous rather than confined to early career stages. Skills evolve alongside industry requirements, allowing both individuals and businesses to adapt.

This progression introduces a different way of thinking about careers. Instead of following a fixed path defined by qualifications, individuals move through a dynamic system where learning and work are integrated.

Multiverse’s role in this transition lies in building the infrastructure that supports it. By connecting employers, learners, and training systems, it creates a framework for skills development that operates at scale.

Through this, it contributes to a broader redefinition of opportunity. Access to high-quality careers expands, and the relationship between education and employment becomes more direct. In this system, capability becomes the defining factor, shaping how individuals progress and how organizations grow.

Euan Blair, Founder & CEO, Multiverse

We’ve built a new model for transforming today’s workforce by combining expert human coaching with AI. Our learning drives real business impact and helps organisations close skills gaps - especially in data, AI and all things tech.

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