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Enterprise AI search that turns documents into governed sources of truth
Updated
LightOn is an enterprise AI search platform that converts an organization's document estate into governed, machine-readable sources of truth for AI agents. The company has done AI research since 2016 and publishes open-weight models on Hugging Face.
LightOn Core processes documents into governed, machine-readable data that AI agents can query, and LightOn Apps packages six ready-made use cases on top of it. The company argues that retrieval quality is a research problem rather than a commodity, and its open-weight models on Hugging Face have passed 50 million downloads.
LightOn is aimed at enterprises with large document estates, such as reports and contracts, that need traceable AI answers with source attribution. Technical teams can test the API for 15 days, and larger buyers request a demo with the company's AI architects.
LightOn does not publish prices. It offers 15-day API test access and invites prospects to request a demo, with commercial terms agreed with the vendor.
Alternatives include Instabase and Hyperscience, which focus on document processing and extraction, Golem.ai, which offers language understanding for operations, and Labelf. LightOn is distinguished by its retrieval research and open-weight models.
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