AI for scientific instruments, with people in control.
Labs are connecting AI to the instruments that run their experiments. MidCortex lets the AI help (watching runs, catching failures, suggesting fixes) while every change stays inside the instrument's limits and the people responsible keep the final say.
AI is reaching the instruments. Accountability has to come with it.
Labs are wiring AI agents to plate readers, liquid handlers and automated lines. The upside is real: faster runs, and problems caught at night instead of the next morning.
But every change to an instrument still needs an owner, a limit and a record. MidCortex is built for the lab automation teams, quality owners and scientists who answer for those changes.
The AI does the work. Your lab keeps control.
Watches every run
Failures surface in seconds, not hours later when someone next looks at the screen.
Keeps instruments inside their limits
A request outside an instrument's safe range never reaches it.
Puts a person in charge
Changes that matter wait for a person's yes, and your lab sets the rules for who decides.
Records what actually happened
Each change is confirmed with the instrument itself and recorded, so your quality team can answer for it.
Start by watching.
- 01One workcell or one workflow, chosen with your team.
- 02Watch-only at first: MidCortex observes and records, and touches nothing.
- 03More responsibility only when your team has seen the evidence and decides to give it.