Biomedical superintelligence

Building true end-to-end biomedical superintelligence.

AutoBio.ai is building on LabOS/LabClaw, MedOS, and REVO from the Le Cong group at Stanford to create a unified stack for scientific reasoning, autonomous experimentation, and therapeutic design.

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What AutoBio.ai is building

A unified system from thought to experiment to engineered therapeutics.

Scientist-centered autonomy

AI systems that reason through biomedical problems, generate hypotheses, and adapt strategies as evidence changes.

Closed-loop execution

Software and robotics operating together so experiments can be designed, run, interpreted, and improved in continuous cycles.

Secure deployment by design

Infrastructure designed for local, trusted deployment across individual scientists, groups, and enterprise environments.

Core platform

Three integrated layers powering AutoBio.ai.

LabOS & LabClaw

The first AI-XR Co-Scientist ecosystem linking dry-lab reasoning to wet-lab execution. Featuring a state-of-the-art 235B parameter lab-specialized Vision-Language Model (VLM) paired with AR/XR spatial tracking.

  • OpenClaw Native: Shift from "papers" to "skills"—making science executable, reproducible, and agent-native.
  • Multi-Agent Core: Self-evolving AI that plans, develops, evaluates, and controls robotic execution.
  • Secure Deployment: Local and enterprise-grade deployment for individual scientists or large automated hubs.

MedOS

An advanced AI operating system engineered to bridge complex biological data with actionable clinical insights. MedOS seamlessly translates the intelligence generated in the lab into therapeutic context.

  • Clinical Translation: Connects foundational biological discoveries directly to patient-centric outcomes.
  • Data Harmonization: Unifies multi-omic and clinical datasets into a single, queryable intelligence layer.

REVO Platform

A first-of-its-kind continuous evolution method for RNA and protein therapeutics design. REVO enables protein and RNA engineering at speeds and scales impossible with traditional methods.

  • Foundation AI: Powered by proprietary deep learning models for sequence-to-function mapping.
  • Continuous Experimentation: A closed-loop system that evolves designs through iterative, physical validation.
  • Context-Aware Assays: High-throughput biological screening seamlessly integrated with AI generation.
Why this matters

Biomedical discovery should not stop at inference.

AutoBio.ai is designed around a simple premise: true biomedical superintelligence must connect world-class AI reasoning with reliable laboratory action and fast experimental feedback.

By coupling platform intelligence, robotic execution, and continuous therapeutic optimization, we aim to shorten the cycle from scientific question to validated biological insight.

Contact

Ready to shape the next generation of biomedical intelligence?

We are currently looking for partners, early adopters, and researchers to join us in scaling the ultimate intersection of biology and technology.

hello@auto-bio.ai