Multiverse, a leader in personalized, on-the-job learning programs, and Skillable, a pioneer in hands-on learning and skill validation, today announced a strategic partnership to enhance workforce training through practical, experiential learning.
In today’s fast-changing workplace, traditional training methods no longer suffice. As AI automates routine tasks, employees must develop higher-order skills such as critical thinking, problem-solving, and the ability to apply technical knowledge in context.
Multiverse and Skillable are joining forces to bridge the divide between learning and real-world application. This partnership integrates Skillable’s hands-on virtual labs with Multiverse’s structured coaching model, creating an immersive ecosystem where learners gain both theoretical knowledge and practical, scenario-based experience. By combining strengths, Multiverse and Skillable empower employers with a scalable solution that ensures professionals can confidently apply technical skills in real-world settings—reinforcing their shared philosophy that people learn best by doing.
Gary Eimerman, Chief Learning Officer at Multiverse, added, "Our partnership with Skillable expands our experiential learning approach by providing practice environments that mirror real-world use cases. Coupled with our coaching, Skillable's virtual labs allow us to create experiences where learners can safely practice technical skills before applying them in production environments."
Through this collaboration, apprentices benefit from structured skill-building experiences that provide immediate feedback, with the ability to reset and try again without consequences—creating low-pressure learning opportunities that build confidence. These experiences are further enriched by Multiverse's personalized coaching, which helps learners connect technical skills to broader business contexts.
Frank Gartland, Chief Product and Technology Officer at Skillable, remarked, "Our partnership with Multiverse represents an exciting opportunity to enhance their industry-leading apprenticeship model with our hands-on virtual lab technology. Together, we're creating a learning experience combining the best of human coaching with immersive scenarios that stretch skills and bolster confidence, giving learners both the guidance and practical experience needed for ongoing success in today's digital economy."
The partnership will launch with Multiverse's Applied Data Engineering (ADE) apprenticeship program, the latest addition to its portfolio of data skills products. This program exemplifies how the combined approach elevates learning outcomes: learners gain hands-on experience in data infrastructure management through Skillable's customizable labs, while Multiverse coaches provide strategic guidance on applying these skills to real business challenges.
Learners in the ADE program gain hands-on experience managing complex data infrastructure, developing advanced pipelines, securing databases, implementing rigorous data governance, and even applying machine learning to enhance data solutions—all within Skillable's safe learning environments that protect critical production systems and sensitive data. Throughout their learning journey, Multiverse's expert coaches provide targeted support, helping employees translate these technical skills to their organization's unique environments and technology stacks. This powerful combination bridges the gap between controlled practice and real-world application, ensuring apprentices can confidently implement their new capabilities using their organization's specific tools, processes, and business context.
As the workforce continues to adapt to new technologies and business challenges, Multiverse and Skillable are committed to delivering the hands-on, outcome-driven learning environments needed to thrive. With plans to expand across technical domains, including cloud computing and AI, this partnership marks the start of a new era in applied learning—where talent development is measured not by knowledge alone but by the ability to deliver results.
