Our vision for a fleet of specialized subagents accelerating the path from research to product.
BIOS is an AI Scientist built to orchestrate complex biomedical research - coordinating specialized agents that plan, execute, and refine scientific workflows. It is the orchestration layer connecting an entire ecosystem where AI accelerates discovery, communities fund breakthroughs, and validated research reaches consumers.
From Question to Commercial Product
A researcher asks BIOS: "What novel approaches exist for reversing mitochondrial dysfunction?"
BIOS coordinates a network of subagents. Literature agents search PubMed, ArXiv, patents and clinical trials. AUBRAI—the longevity-specialized subagent—provides domain expertise. The Novelty Detection agent cross-references existing research. A hypothesis emerges that hasn’t been tried before.
The human researcher refines it. BIOS runs computational simulations to verify the approach in silico. The data looks promising.
A Molecule Lab is created—a privacy-preserving data room where findings, hypotheses, and experimental data are stored. This becomes the canonical home for the research project.
Now it needs wet-lab validation. The researcher launches funding through Bio Launchpad. The community evaluates. Token holders fund it. Capital flows in.
In vitro experiments begin. Results log to the Molecule Lab. BIOS continues analyzing incoming data, spotting patterns, suggesting next steps. Milestones are enforced onchain. Funds release only when milestones are met.
The research succeeds. A validated compound emerges.
A new product - vetted for human consumption - becomes available through Biofy for global consumer access. Specialized agents help users share health data and get personalized guidance, powered by the same BIOS infrastructure.
From question to commercial product. AI and community at every step. Infrastructure connecting the entire journey.
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BIOS: The AI Scientist
BIOS is a general-purpose scientific agent that orchestrates multi-step research workflows. Through human-in-the-loop control, researchers are able to redirect analyses mid-flight and explore alternate hypotheses in-session. Persistent worldstate means BIOS remembers—every insight becomes the foundation for the next session.
It achieves state-of-the-art performance on BixBench, a challenging bioinformatics benchmark, outperforming every comparable system at real-world analytical tasks.
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But BIOS is the orchestration layer. The real intelligence is distributed.
Subagent Swarm: A Marketplace of Intelligence
Today, BIOS coordinates specialized subagents for literature synthesis, data analysis, hypothesis generation, and novelty detection—completing research cycles in minutes that would take humans hours or days.
In the future, when BIOS receives a user query, it can also dynamically route the task to the best-performing agent(s) in a given research domain. Longevity-related queries, for instance, can route to Aubrai, a BioAgent specializing in aging research.
One AI can’t be the best at everything - a network of best-in-class agents is more powerful. BIOS coordinates, users get better results, and each agent earns for its niche.
Researchers and labs pay per query to use BIOS. Payments flow automatically via x402, an internet-native payment protocol, enabling agent-to-agent commerce, per query, at near-zero cost.
This creates a marketplace of intelligence where better models earn more.
Imagine hundreds of specialized agents: cancer genomics, rare diseases, drug interactions, computational chemistry. Each competing to be the best in their domain. Each earning for their contributions.
An Agents GDP emerges—value flowing to intelligence that delivers results.
A compounding cycle turns BIOS into a value driver for the system: Subagents compete to be best-in-class → Network intelligence compounds → More researchers use BIOS → More $BIO flows through the system → Value rises → More builders create subagents → Repeat
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Molecule Labs: Where Research Lives
When a novel approach is found, a Molecule Lab is created—a privacy-preserving data room for the research. All findings, experimental data, and analysis live in one place.
Researchers maintain sovereignty over their work. The BIOS AI Scientist stays active as experiments progress, continuously suggesting next steps. Token holders can access relevant data to verify milestones and governance decisions.
This is the foundation that connects discovery to funding to commercialization.
Bio Launchpad: Community-Funded Science
When research needs wet-lab validation, communities can fund it directly through the Bio Launchpad.
Token holders evaluate proposals and vote on funding. The IP created is governed collectively. Milestones are enforced onchain - funds are released only when deliverables are met. Each launch generates onchain fees and AUM for Bio Protocol.
Biofy: From Lab to Life
Proven research transitions into consumer products through the Biofy - direct-to-patient rails for products that survived the full validation process.
Specialized consumer-facing agents allow individuals to engage directly: share health data, get personalized guidance on products and lifestyle interventions, all powered by the same BIOS infrastructure driving discovery. The patient becomes part of the loop.
A portion of every sale buys back BIO, tying commercial success to ecosystem growth.
This creates a compounding loop connecting agentic science, capital formation and market adoption.
What We're Building Toward
A system where AI accelerates the drudgery—literature review, data analysis, computational verification—so researchers focus on insight and direction.
Where communities provide capital and governance, funding what matters through transparent milestones.
Where data stays sovereign while enabling collaboration.
Where value flows to contributors—researchers, agents, token holders—based on real impact.
Where breakthroughs reach humans faster through open, transparent integrated paths from discovery to commercial products.
BIOS is live. Aubrai is live. The infrastructure is being built.
Come build it with us.
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