Mursion is an Enterprise VR Training company founded in 2014 and based in San Francisco, United States. It has raised $33M in total funding, most recently a Growth in 2022.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Oct 14, 2022 | Growth | $5M | — | — |
| Nov 30, 2020 | Series B | $20M | — | Leeds Illuminate |
| Mar 25, 2019 |
| Series A |
| $8M |
| — |
| New Markets Venture Partners |
| Dec 15, 2017 | Seed | — | — | — |
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An AI-powered immersive learning platform combining real-time human-controlled avatars with artificial intelligence to deliver personalized workplace simulations. Professionals practice essential interpersonal skills—including leadership, sales, customer service, and diversity & inclusion conversations—in psychologically safe, realistic environments. The platform uses live simulation specialists who control avatars dynamically, enabling learners to experience authentic two-way conversations with real-time feedback on performance. Trusted by 30% of Fortune 100 companies.
A suite of ready-to-deploy immersive simulation scenarios tailored across 35+ industries including corporate training, healthcare, education, hospitality, and financial services. These scenarios recreate the most demanding interpersonal challenges professionals face daily—such as performance reviews, difficult conversations, and change management discussions. Each experience is grounded in behavioral science and designed to drive measurable behavior change and skill acquisition exceeding 40%.
Advanced analytics and assessment dashboard that measures learner performance through observational data, feedback management, and voice morphing analysis. Provides organizational insights into skill development, identifies capability gaps across teams, and tracks ROI on soft skills training. Features performance assessment data, learning analytics, and compliance measurement that enable organizations to optimize training plans and demonstrate quantifiable business outcomes.
3 patents on file, but none with both an extractable figure and an abstract on Google Patents yet.
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