gov, and OpenAlex simultaneously, consolidating biomedical literature, patents, and trial data in a single interface. Its autonomous agents can automate tasks such as intellectual‑property analysis and computational biology workflows, while enterprise‑grade security and optional self‑hosting keep sensitive research protected.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers must manually gather and integrate data from disparate biomedical sources such as literature databases, patent registries, and clinical trial repositories, a process that is time‑consuming, error‑prone, and often incomplete. This fragmentation hampers the discovery of subtle micro‑interactions (“minicules”) that could reveal novel disease mechanisms or therapeutic targets.
Solution
Minicule offers an AI‑driven research platform that aggregates PubMed, USPTO, ClinicalTrials.gov, and OpenAlex into a single searchable interface. Users can pose complex scientific queries and receive results enriched with knowledge‑graph visualizations that map relationships among genes, drugs, and outcomes. Autonomous AI agents can execute routine tasks such as intellectual‑property analysis or computational biology workflows, reducing manual effort. The platform supports both public and private project modes, with optional self‑hosting and Docker deployment for enterprise security requirements. Token‑based usage limits enable a risk‑free free tier, while paid plans provide expanded storage, advanced graph features, and collaborative tools.
Target Audience
Primary users are academic scientists, biotech researchers, and pharmaceutical R&D teams that need integrated, AI‑enhanced access to biomedical literature, patents, and trial data for hypothesis generation and target discovery.
Features
- Unified search across major biomedical literature, patent, and clinical trial databases in one query
- AI‑generated knowledge graphs that visualize connections between genes, proteins, compounds, and clinical data
- Autonomous agents that automate IP analysis, pathway mapping, and other computational biology tasks
- Token‑based consumption model with a free tier (1 M tokens/month) and scalable paid plans
- Privacy controls: public mode, private mode, and self‑hosted Docker deployments for enterprise compliance
- Collaboration suite including team sharing, seat licensing, and priority support for research groups
- Customizable LLM integration (Gemini, OpenAI, Llama, Claude) and unlimited AI agent execution for enterprise customers