AllSci aggregates global scientific literature, patents, grants, and ontologies, then atomizes the content into hypotheses, research questions, results, and patent claims using its proprietary AI. Users can search, chat, visualize, and browse this structured knowledge, and publish new findings with an immediate citable record while participating in open peer review. The platform supports over 136 million AI‑derived atoms and 101 million canonical researcher and organization profiles.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers struggle to locate, synthesize, and cite fragmented scientific outputs across literature, patents, grants, and ontologies, leading to duplicated effort and delayed discovery.
Solution
AllSci offers an integrated graph that aggregates global scientific literature, patents, grants, and ontologies, then atomizes each document into discrete hypotheses, research questions, experimental results, and patent claims using proprietary AI. The resulting structured data is linked to unique identifiers for researchers, organizations, and concepts, enabling high‑precision search, conversational AI queries, visual exploration, and workflow automation. Users can publish any scientific artifact—hypotheses, negative results, posters, or full papers—and receive an immediate, citable record while participating in open peer review that assigns public credit. The platform’s analytics and AI agents help users discover related work, assess competitive landscapes, and identify collaborators, all within a single, searchable knowledge graph.
Target Audience
AllSci serves academic researchers, corporate R&D scientists, and intellectual property professionals who need comprehensive, structured access to global scientific knowledge and a platform for rapid publishing and peer review.
Features
- Automated aggregation of literature, patents, grants, and ontologies into a unified, atomized knowledge graph
- Proprietary AI that extracts and links hypotheses, research questions, results, and patent claims to unique researcher and concept identifiers
- Multi‑modal access: keyword search, natural‑language chat, interactive visualizations, and API‑driven workflows
- Immediate issuance of citable records for any type of scientific output, with built‑in open peer‑review and credit attribution
- Integrated analytics and AI agents for hypothesis testing, competitive intelligence, and collaborator discovery
- Over 136 million AI‑derived atoms, including 17 million hypotheses and 100 million patent claims, supporting large‑scale discovery