Automate wet lab science with robots.
Zeon robots handle samples, operate instruments, and run complete experiments using the equipment already in your lab.
The Zeon System
Describe an experiment. Run it on robots.
Build lab workflows with coding agents using the skills and equipment available in your lab.
01 / PROMPT
Describe the experiment you want to run
A coding agent turns your protocol into a workflow using the skills available in your lab.
1. Prep my master mix according to the following protocol.
2. Pipette into all wells containing sample in my plate.
Seal plate with a gas-permeable seal.
4. Load into incubator shaker and hold at 30 degrees for 5 hours.
02 / SIMULATE
Preview workflow in simulation
Review the workflow in a wold model of your lab before the robots move.
03 / RUN
Run it on robots
Execute the workflow using the robots and instruments already in your lab.
Turn the lab into a discovery engine.
Works where humans do
Operate the same instruments, labware, and benchtop environments scientists already use.
Flexible
Scientists can program new experiments in minutes. Adapt new experiments quickly as protocols change.
Reliable
Track every action, state, image, and result so runs are repeatable and easy to review.
What are people saying about Zeon?
Claude Community AI Science Demo Night
More than 100 people joined the first AI Science demo night, where researchers showed how new hardware and software can make building feel “JARVIS to Iron Man level empowering.”
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Is autonomous science here?
At the AI Science World Model Hack, BioMate brought protein synthesis, screening, and an agent loop into one system that deployed directly to Zeon’s lab platform.
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Plate unsealing
Tacit Teacher tackled sealed lab plates at the World Model Hack—using agents to turn tacit human know-how into robotic action.
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Robot Synthesizes Protein at Zeon Systems Hackathon
Can a software engineer synthesize a protein? Probably not. But apparently, a robot can.
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Tacit Teacher Learns to Handle 96-Well Plates
Team of 4 talked to a machine at a hackathon. Machine learned, and did the task that most humans find hard.
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Partner with us
Whether you're running flexible experiments or evaluating AI scientists in the physical world - we want to talk.