Scigantic, Inc. is building the contextual infrastructure for AI-native scientific research. As datasets grow exponentially in size, researchers and AI agents incur friction when engineering and analyzing scientific data. Scigantic makes these datasets immediately accessible, contextualized and ready for computation, with a long-term vision to be the contextual layer for agentic-based workflows from data acquisition in the lab to computational analysis in the cloud.
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An AI-powered notebook platform combining petabyte-scaled data, relevant dependencies, and pre-loaded context, accessible to anyone in the browser and provisioned within seconds. Scigantic's algorithms have indexed and contextualized over an exabyte of data spanning 5,500+ of the world's most important open-source datasets, injecting context in an agentic-friendly manner to notebooks and externally via MCP. Users can integrate and pre-process their own data to compare with pre-existing datasets on-demand, solving the friction researchers and AI agents face when engineering and analyzing large-scale scientific data.
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Extends Scigantic's contextual data infrastructure to edge compute devices located in biopharma laboratory settings, with an initial use case focused on Cryo-EM workflows. This enables real-time data contextualization and processing directly at the point of scientific instrument data acquisition, bridging lab data generation with cloud-based computational analysis.
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