We build AI that
understands biology.
A research-driven company building the future of life sciences. We conduct and publish scientific research, develop AI systems for researchers, and create tools and educational resources that make advanced science more accessible.
Explore. Innovate. Empower.
Three words that guide everything we do — from the research questions we pursue, to the technology we build, to the students we teach.
Scientific Discovery
We make original discoveries in molecular and computational biology — our own research questions, published in peer-reviewed journals like ACS Biochemistry.
Technology & AI
We build agentic AI systems, semantic search engines, and open data infrastructure that make biological research faster, more connected, and fully traceable.
Education
We create teaching resources, laboratory manuals, and training materials that put practical knowledge directly in the hands of students and researchers.
What we build.
Tools and infrastructure that make biological research faster, more connected, and fully traceable. Everything below is live — open it and use it today.
RBAi — Rhesus Bioagentic AI
An agentic workspace for biology, live today. Ask a research question in plain language — RBAi plans the work, queries 30+ trusted databases, inspects structures, runs the analysis, and helps draft the report. Every step traceable, every claim sourced.
Ask in plain language — agents plan, query, and reason across 30+ databases Inspect, compare, and measure protein structures and sequences Run custom Python analysis alongside your research Every answer traced to PubMed, PDB, AlphaFold, and more
RBAi Corpus
A semantic search engine over 7 million biomedical paper abstracts. Describe what you're looking for in plain English — find papers by meaning, not keywords. Covers PubMed, bioRxiv, and medRxiv.
Semantic search — finds papers by meaning, not keyword matching 7 million abstracts from PubMed, bioRxiv, and medRxiv API access, plus MCP integration for Claude, Cursor, and VS Code Free API key — 1,000 queries/day, no credit card
Free key, 1,000 queries/day. No credit card.
Search 7M papers by meaning without leaving your editor. Works with Claude Desktop, Cursor, and VS Code via MCP.
Single file, Node.js 18+ and @modelcontextprotocol/sdk.
Paste the JSON snippet below. Replace the path and API key.
Your AI calls search_corpus automatically.
{
"mcpServers": {
"rbai-corpus": {
"command": "node",
"args": ["/path/to/rbai-corpus-mcp.js"],
"env": {
"CORPUS_API_URL": "https://dreamlab-main.vercel.app/api/v1/corpus",
"CORPUS_API_KEY": "rbai_sk_your_key_here"
}
}
}
}Name: rbai-corpus
Type: stdio
Command: node /path/to/rbai-corpus-mcp.js
Env:
CORPUS_API_URL=https://dreamlab-main.vercel.app/api/v1/corpus
CORPUS_API_KEY=rbai_sk_your_key_here{
"servers": {
"rbai-corpus": {
"command": "node",
"args": ["/path/to/rbai-corpus-mcp.js"],
"env": {
"CORPUS_API_URL": "https://dreamlab-main.vercel.app/api/v1/corpus",
"CORPUS_API_KEY": "rbai_sk_your_key_here"
}
}
}
}npm install @modelcontextprotocol/sdk. Without an API key you get 5 searches/min — get a key above for 1,000/day.RBAi MCP Cloud
Managed MCP servers for 25+ life-science databases, running now. One protocol, one API key, cloud-deployed. Plug structured biology data into your own AI agents and applications without managing individual database credentials.
25+ databases through a single unified protocol One API key — no individual database credentials Cloud-deployed and maintained by us Compatible with any MCP-enabled AI framework
Biophysics Laboratory Manual
A complete, classroom-ready manual of biophysics practicals — written for students who learn by doing. Covers essential experiments, techniques, and analysis methods for modern biophysics education.
Core biophysics experiments and techniques Designed for undergraduate and postgraduate courses Classroom-tested with step-by-step protocols Includes analysis guides and worked examples
Our discoveries are published in
peer-reviewed journals.
We run original computational biology studies — our own discovery work, not product research — with scientific advisors at the University of Delhi.
Integrative Modeling Identifies a Dual-Function Helix in Full-Length MDM2, Providing Novel Mechanistic Insights
Led by researchers,
guided by scientific advisors.
Get in touch.
Alpha access, research collaborations, training, or just a question. A human reads every message.