Meet BIOS, an AI Scientist built to orchestrate complex biomedical research. • Global SOTA on Data Analysis Benchmarks: BixBench 48.78% open-answer, 55.12% multiple-choice refusal, 64.39% multiple-choice (no refusal) - outperforming systems like Edison Scientific and Kepler. • Human-in-the-Loop or Autonomous Mode: Intermediate checkpoints let researchers guide investigations mid-flight as insights emerge. No more waiting hours for batch runs reruns to get results. Or, run in fully autonomous mode for extended investigations. • Persistent World State: Rather than losing context as conversations grow, world state ensures investigations build on insights within each research cycle and across sessions. • Subagent Swarm: BIOS orchestrates subagents specializing in research functions (Literature Review, Data Analysis, Novelty Detection) and, soon, research domains (microbiology, longevity, genomics). BIOS is available now in Beta with free paid tiers, exclusive launch pricing and, for limited time, free full access to academic users with a .edu email address. Pro, Researcher and Lab subscription tiers offer discounted packages on monthly credits. Our usage-based pricing is competitive and in some cases significantly cheaper than leading scientific agents. Try BIOS and read our paper in the links below ↓

BIOS is powered by Deep Research, an iterative workflow that completes research cycles in minutes rather than hours. Where batch-processing systems like Kosmos require extended runtimes before producing results, Deep Research lets you steer the investigation as insights emerge.

Scientific progress relies on the power of iteration. Breakthroughs emerge when researchers pivot based on partial signals. BIOS operates as a multi-agent orchestration layer. It's designed for human-in-the-loop workflows, where researchers intervene mid-run and steer the investigation as new insights emerge. Each run follows a persistent flow: Plan → Execute → Refine. At every stage, researchers can inspect reasoning, adjust direction, and validate assumptions before downstream actions are spent.

A research session is more useful when others can see it. BIOS research sessions are now shareable via public link so collaborators can access the full investigation, not just a summary. Try it at chat.bio.xyz

BIOS is building an in-house robotics program to bring physical synthesis, plate handling, and result readback inside the pipeline. Today, wet lab runs route to @adaptyvbio via x402. The robotics program removes that dependency and closes the full autonomous loop from receptor to result inside one system. BIOS already owns the full computational side end-to-end. Three generative models, PXDesign, BoltzGen, and RFdiffusion3, produce 5,000 binder candidates per run. Scoring and molecular dynamics filter these down to 10 to 15 viable candidates. Those candidates are commissioned for synthesis at Adaptyv Bio, paid machine-to-machine via x402, with every result publishing on-chain as it arrives. The in-house robotics program brings the next step inside that same loop. A dexterous robotic arm is being developed to handle pipetting, transfer samples to well plates, and run binding assays without routing to an external CRO at each step. When wet lab data returns, it feeds directly back into the binder generation step. The models learn which structural features survived physical testing and the next generation cycle starts from a stronger baseline. BIOS is building all three pillars in parallel: > Self-hosted foundation models (fine-tunable inside the CLI) > Operational wet-lab execution (currently via x402 & Adaptyv Bio) > In-house robotics (the third pillar under active development) This creates a fully integrated, self-improving system.

BIOS builds a structured research plan before running any analysis. When a query is vague, it asks targeted clarifying questions, then proceeds with a scoped plan. The agent intercepts broad inputs before they produce broad outputs.

How BIOS deep research modes work and how to pick. → Steering · 1 credit · ~20 min You stay in the driver's seat. BIOS runs one iteration, then pauses for your feedback before continuing. Best for sensitive experiments or early-stage hypothesis work. → Smart · 5 credits · 20–60 min Semi-autonomous, hybrid mode. Up to 5 iterations with checkpoints after each cycle. Best for collaborative deep dives: lit reviews, competitive analysis, anything that benefits from iterative refinement. → Fully Autonomous · 20 credits · ~8 hours Hands-off. Up to 20 iterations, no intermediate approvals, runs until convergence. Best when you want the result, not the workflow. Switch modes anytime before a run. Sign up at chat.bio.xyz and get 20 free credits.

Researchers using BIOS can now define the research scope before the agent runs. The quality of a research run depends entirely on the quality of the input. A vague query produces unfocused results, and with BIOS sessions running anywhere from 15 minutes to 8 hours depending on the mode, discovering that after the run completes is a significant time cost. Plan Mode adds a clarification step before any research begins. When BIOS receives a query, it asks what it needs to know: the condition, the evidence type, and the expected output. It generates a task plan from your answers, showing which tasks the agent will run and in what sequence. These tasks are either literature reviews or data analysis runs. Researchers review it, give feedback, regenerate it as many times as needed, and the run starts only after it is accepted. Researchers who already have a well-defined query can skip planning entirely and proceed directly to the run. Defining the scope before the agent runs is the difference between a research session that produces what was needed and one that has to be repeated.