Lab automation scheduler and workflow orchestrator. Parallel lab workflows in plain Python, on the instruments you already own.
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Updated
Sep 25, 2026 - Python
Lab automation scheduler and workflow orchestrator. Parallel lab workflows in plain Python, on the instruments you already own.
Lab automation platform for protocol execution, asset management, and hardware control, built on PyLabRobot
Simulation-first lab robotics: PyLabRobot arm control, eye-in-hand vision, dexterous manipulation, and auditable workcell tasks.
Capture, decode, and guarded-replay tooling for no-API lab instruments; incomplete maps remain blocked from actuation.
Machine-executable assay library (58 assays) + BioInterface, a Streamlit workbench to plan, run and review automated lab assays
Driver interfaces, PyLabRobot wrappers and simulation drivers for the Orca lab automation stack.
Find the cheapest sequencing library prep that still gives a callable answer. An agent maximizes unique reads per dollar, warm-started by a bench scientist and gated on in-process CV.
Evidence and permission for autonomous labs: expert QC gates, workcell orchestration, provenance, recovery, and honest hardware boundaries.
Paste a lab protocol → deterministic, feasibility-checked 3D digital-twin simulation with real run-time
Synthetic, ground-truth demos for scRNA-seq, methylation sequencing, PCR enrichment, and other omics QC; no wet-lab claims.
Three Claude Code skills for authoring PyLabRobot devices under the v1b1 capability-architecture: protocol extraction, scaffolding, and review.
The Orca device bridge: connects lab instruments on a local computer to an Orca runtime over WebSocket.
Auditable MCP tools for PyLabRobot: run and sample context, typed provenance, simulation by default, and explicit hardware permission.
A world model runs the bench. Track A entry for the AI for Science World Models Hack @ Zeon Systems: sim-first, composing the @di-omics autonomous-lab stack + a bridge to drive Zeon's arm via PyLabRobot.
Closed-loop ML for biology: ESM-2 protein design by simulated annealing, Bayesian assay optimization with a split-conformal accept/reject/escalate gate, and an agentic design-build-test-learn engine driving a liquid handler. Sim-first, CPU-only.
Generic, simulator-only scRNA-seq and whole-genome sequencing workflows, from planning through configurable analysis handoffs.
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