Lenovo is working with partners to transform the way employees learn by combining artificial intelligence and virtual reality.
Lenovo’s partnership with Canadian immersive learning company VR Vision is helping global companies deliver real-time, adaptive training to each employee. This is a step up from the one-size-fits-all model that has dominated corporate training for decades.
The collaboration combines Lenovo’s hardware and enterprise deployment capabilities with VR Vision’s Vision Portal platform, which captures and analyzes user performance data to personalize training outcomes.
Together, the two companies are developing a framework that can redefine what corporate learning looks like in industries such as manufacturing, automotive, energy and utilities.
“There is a significant shift in the way companies think about workforce development,” he says. Phillip Ruenprom, Lenovo XR Product Manager.
Our role is to use AI to make immersive learning accessible and scalable so that all learners receive the right level of support and feedback.
Personalized learning based on data
Partnerships focus on core ideas. Education should be tailored to the learner, not the other way around.
At the core of the experience is VR Vision’s Vision Portal, a centralized platform that manages training deployment, real-time analytics, and LMS integration to deliver scalable and measurable learning impact.
These insights allow the system to adjust difficulty, provide additional guidance, or fast-track users as they become more adept.
“If a technician is having difficulty with a particular procedure, AI will recognize this and tailor the next session accordingly,” he explains. Lorne Fade, co-founder of VR Vision. “It’s like having a personal trainer inside your headset.”
This approach not only accelerates learning, but also improves retention by immersing users in life-like simulations that mimic real-world conditions. The AI backbone behind this model represents the next logical step in enterprise XR: moving from static virtual environments to dynamic, data-driven environments.
Toyota as a test case
One of VR Vision’s most successful deployments was with Toyota Material Handling. The company worked with the company to implement large-scale VR training in more than 300 of its dealerships. Technicians were trained on complex mechanical systems in a risk-free virtual environment using XR headsets and software adapted to Toyota’s procedures.
The results were clear. Over 10,000 employees trained, saving over $1.5 million annually.
In addition to cost savings, Toyota reported faster onboarding and greater performance consistency across its workforce.
For Ruenprom, examples like Toyota demonstrate the potential of combining Lenovo’s enterprise reach with AI-based learning tools.
When scaling immersive training to thousands of users, it’s not just about content and hardware. This is about management, security and analytics, something Lenovo already has a lot of experience with.
Making global education inclusive
The role of AI extends beyond personalization to accessibility. The VR vision platform supports AI-assisted multilingual translation, allowing employees in various locations to participate in the same training session in their native language.
“Businesses are becoming increasingly global, and education must reflect this,” says Fade. “AI translation means that Japanese and German workers can take the same course, fully understand it, and collaborate naturally.”
Lenovo’s infrastructure ensures that these experiences remain secure and standardized across continents. By integrating with device management systems such as the Meta Horizon management service, Lenovo can deploy updates, monitor headsets, and distribute content remotely, removing much of the logistical friction that once slowed enterprise adoption of VR.
The Next Frontier: Generative AI and Rapid Content Creation
Lenovo and VR Vision are also researching how generative AI can reduce the time and cost of developing immersive experiences. Today, designing a detailed VR simulation, such as a virtual factory floor or medical laboratory, can take weeks of manual 3D modeling.
In the near future, AI could automate many of these tasks. “We are experimenting with tools that allow us to build environments from basic text prompts or CAD files,” says Fade. “Generative AI allows companies to design training modules in hours rather than months.”
Ruenprom added that Lenovo sees this as an extension of its broader AI ecosystem. “Our vision is to provide businesses with the tools to create, manage and evolve immersive content without requiring deep technical expertise,” he says.
From data to continuous improvement
One of the key benefits of AI-based VR training is the data it generates. Every interaction can be measured, from completion time to accuracy, helping organizations identify patterns and improve training programs over time.
“The feedback loop is incredibly powerful,” says Ruenprom. “Instead of guessing whether training is working, companies can see exactly where their people are succeeding and struggling. It turns learning into a continuous process.”
For industries where mistakes are costly, from aviation to energy, precision has a direct impact on safety and performance.
Together, Lenovo and VR Vision are pioneering the next frontier of enterprise learning, where immersive data transforms workforce performance into a continuous, measurable evolution.
Changing the way companies learn
The Lenovo-VR Vision collaboration highlights a larger trend in enterprise learning: the convergence of AI, analytics, and immersive technologies.
What started as an experimental pilot a few years ago is now expanding to a global rollout, supported by a mature hardware and software ecosystem.
“This is not a replacement for human trainers,” Fade emphasizes. “It’s about giving them better tools – better tools to personalize training, track results and make training more interesting.”
As companies look to reskill their workforce in the era of automation and AI, Lenovo’s XR platform positions them as both an enabler and a bridge, connecting advanced skills with the real needs of real-world learning.
“The future of workforce development will be engaging, intelligent and data-driven,” says Ruenprom. “And it’s happening now.”