Cinematic VR learning experiences for K-12 schools and districts
Dreamscape Learn builds story-driven virtual reality lessons where student choices steer the narrative, produced on a game-studio stack of Unity, Unreal Engine, C#, C++, Maya, Houdini and Perforce. Hiring now tilts toward product and director-level sales, and job posts center on breaking into K-12 districts, signaling a shift from content production to district go-to-market. Integrations with Canvas, Blackboard, Schoology and Google Classroom point to LMS-embedded delivery.
Notable leadership hires: Executive Director
Dreamscape Learn is a privately held education company headquartered in Culver City, California, founded in 2023 with 51–200 employees. It creates immersive, cinematic virtual reality learning experiences in which students take part in the story and make choices that affect outcomes. The company sells to schools and school districts, with a growing focus on the K-12 market in North America. Its content is built with 3D and real-time engine tools, and it runs business operations on Salesforce, NetSuite and QuickBooks. Hiring is concentrated in the United States.
Dreamscape Learn uses Unity, Unreal Engine, C#, C++, Python, Maya, Blender, Houdini, ZBrush and Perforce for content, plus Salesforce, NetSuite, Jira and LMS platforms like Canvas and Google Classroom.
Yes. Hiring is accelerating, led by product and sales roles including director-level positions, focused on K-12 district partnerships and new account sales in the United States.
Short-form VR immersive learning experiences, packaging its immersive learning ecosystem into products, K-12 direct sales in North America, and automated lead nurturing workflows.
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Dreamscape Learn's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.