AI Research Copilot

Talk to AI agents in natural language to generate cohorts, tables, visualizations, and editable code—no programming required. By bridging scientific intent and execution, our domain‑specialized agents let researchers explore datasets, estimate cohort sizes, and validate ideas in minutes.

Instantly make sense of new datasets by asking our AI agents about them—just as you would with a data steward. With multimodal support for clinical, genomic, imaging, and file-based data, you can quickly discover available data, evaluate whether a dataset supports your hypothesis, and review data distributions—all without waiting for a data scientist or wrangling the data yourself.

Our AI agents are designed for rapid verifiability. Every action produces verifiable intermediate results—code, queries, dataframes—along with clear, step-by-step explanations. You can inspect every change, trace reasoning and data back to their sources, and fully understand each outcome. This level of transparency empowers you to trust, reproduce, and share your work confidently.

Start your analysis with our AI agents, then effortlessly move to Jupyter, R, SQL, WDL, or Nextflow when you need more control. Export, edit, and extend every artifact—code, queries, dataframes—using the high-code tools you know and trust. Our AI agents serve as a launchpad, empowering you to conduct real research without locking you into a closed system.

Our AI orchestrates focused, domain-specific agents and tools (such as biostatistics, differential expression, and spatial transcriptomics) rather than relying on a single, general-purpose AI agent. By assigning each task to the most qualified agent or tool, we ensure more accurate, reliable, and auditable outcomes than traditional monolithic approaches.

Our AI agents have persistent memory that tracks your goals, terminology, and workflow. They remember your previous questions and analyses, so you can seamlessly continue your work without starting over. This creates a continuous, personalized, and context-aware research experience—like collaborating with a junior researcher who understands your preferences and delivers results the way you want.

Our agents are built to integrate with the broader ecosystem of tools. Our AI is a Model Context Protocol (MCP) client that can interface with any MCP server. You can register MCP servers with the orchestrator, making new capabilities easy to add. We build on open standards to ensure future interoperability.

Our AI agents operate under the user's identity, inheriting consistent security and access control throughout the entire stack. Strict guardrails govern what agents can do. Every action is recorded with detailed audit trails and provenance, ensuring complete oversight and data integrity at all times.