Minicule
AI-powered research web app for building scientific knowledge graphs.
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Minicule is an AI-powered research web application designed for life sciences researchers. It connects to major scientific databases like PubMed, OpenAlex, and USPTO, enabling users to build scientific knowledge graphs, explore dendrograms, and accelerate evidence verification. The platform helps transform complex research data into clear, actionable knowledge graphs, facilitating the visualization and acceleration of scientific discovery by mapping relationships between hypotheses, experiments, and findings.
Users can start building knowledge graphs by connecting to data from PubMed, OpenAlex, and USPTO. The platform allows researchers to visualize complex relationships in their data, map hypotheses, experiments, and findings, and collaborate with colleagues by sharing knowledge graphs. It offers custom workspaces for individual researchers and teams, and domain-specific visualization templates for biotech, genomics, and pharmaceutical research.
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Individual researchers getting started. Includes 1 Million Tokens per month, Basic knowledge graph visualization, Limited publication search, 1 GB Storage, Basic timeline view, Public Mode (Projects are publicly visible).
Active researchers and small labs needing privacy. Includes 10 Million Tokens, Everything in Free, plus Private Mode (Projects are private), Advanced knowledge graph features, Unlimited publication search, 25 GB Storage.
Research organizations needing collaboration. Includes 10 Million Tokens, Everything in Pro, plus Team Sharing & Collaboration features, Includes 20 seats ($5/additional seat), 50 GB Storage, Priority Support.
For large organizations with specific security, compliance, and integration requirements. Minimum commitment: $60,000 USD per year. Includes Everything in Team, plus custom deployment options, Bring Your Own LLM Keys (Gemini, OpenAI, Llama, Claude), Run Privately with Docker Deployment, Dedicated support with 12-hour response time, Run Unlimited AI agents for IP and R&D.
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