Nextnet is an AI‑driven life sciences platform that unifies biomedical data from sources like PubMed, ChEMBL, Google Scholar, and Ensembl into a semantic web. Its Copilot assistant provides evidence‑backed answers with citations, while the Explorer visualizes relationships among genes, drugs, pathways, diseases, and more, enabling researchers to quickly find and map relevant information.
Funding
Funding not disclosed
Founders
Product
Problem
Life‑science researchers spend extensive time searching across fragmented biomedical databases and literature, often encountering irrelevant results and risking AI hallucinations when using generic chat tools. This information overload slows discovery and hampers efficient knowledge integration.
Solution
Nextnet provides an AI‑driven research platform that unifies the world’s biomedical data into a single semantic web. Its Copilot assistant answers queries with evidence‑backed citations drawn from curated sources such as PubMed, ChEMBL, Google Scholar, Ensembl, and more, eliminating hallucinations. The Explorer module visualizes connections among genes, drugs, pathways, diseases, authors, and institutions, allowing users to map complex relationships in interactive maps or ranked lists. Retrieval‑augmented generation (RAG) combines large language models with knowledge‑graph and vector‑database retrieval, ensuring answers are grounded in verified scientific content. The platform supports collaboration through shared sessions, team spaces, and export of source material, enabling researchers to focus on analysis rather than data gathering.
Target Audience
Primary users are life‑science researchers in academia, biotech startups, pharmaceutical companies, and healthcare institutions who need fast, reliable access to biomedical knowledge and collaborative analysis tools.
Features
- Evidence‑backed answers with source citations and excerpt snippets from peer‑reviewed papers, reputable news, and literature reviews
- Retrieval‑augmented generation pipeline that chains multiple LLMs with a biomedical knowledge graph and vector store for accurate, hallucination‑free responses
- Integrated semantic web covering literature, genes, proteins, drugs, targets, pathways, diseases, institutions, and authors; patents, clinical trials, and grants forthcoming
- Interactive Explorer maps that visualize entity relationships and support collaborative brainstorming, with a list view for traditional ranked results
- Automated data ingestion via crawlers and pipelines that keep the knowledge base up‑to‑date across dozens of public biomedical repositories
- Team collaboration tools: share sessions with guests, manage organization spaces, and curate sources by impact factor, citation count, or excerpt relevance
- Flexible subscription tiers with usage limits (e.g., 30 Copilot responses/month on Free plan, 150 on Starter) and advanced features such as advanced reasoning mode, voice interaction, and custom data integrations