Labster

Labster is a virtual laboratory simulation platform headquartered in Copenhagen, Denmark, founded in 2011 to address the global gap in access to well-equipped science education. Labster creates highly realistic, gamified simulations of laboratory experiments in biology, chemistry, physics, and other scientific disciplines, enabling students to perform complex experiments—including dissections, titrations, genetic engineering, and microscopy—in a browser or VR headset without requiring physical laboratory space or expensive equipment. The company has raised over $60M in funding and partners with over 500 universities and educational institutions worldwide, including MIT, Stanford, and Harvard.\n\nLabster's simulation library contains hundreds of experiment scenarios with narrative storylines that embed scientific procedures in real-world problem-solving contexts—a pedagogical approach designed to increase student motivation and learning retention compared with rote lab manual execution. Each simulation provides immediate AI-powered feedback on student technique and decision-making, generating granular performance data that instructors can review at the student and class level. Labster integrates with major learning management systems including Canvas, Moodle, Blackboard, and D2L, making it straightforward to assign simulations as coursework within existing academic workflows. A VR-native module delivers an even higher-fidelity lab experience for institutions equipped with headsets.\n\nLabster competes with Visible Body, Pivot Interactives, and ChemCollective in the virtual science education market. Its combination of scientific rigor, narrative engagement, LMS integration, and VR capability positions it as the broadest virtual lab platform for higher education. For universities seeking to expand lab course enrollment beyond physical capacity constraints, provide equitable access to students in under-resourced institutions, or deliver continuity during facility disruptions, Labster offers a scalable and pedagogically validated solution.