Draftor Labs builds intelligent tools for wet lab scientists — so researchers spend more time discovering and less time writing things down.
Every hour spent on manual documentation is an hour not spent advancing science. The cost is real — in time, accuracy, and compliance risk.
Researchers manually logging protocols, instrument readings, and observations — instead of running experiments.
Incomplete records and missing deviations create a reproducibility crisis across pharma and biotech.
FDA, GMP, and GLP compliance demands meticulous records. Manual processes introduce audit-failing gaps.
Wet lab scientists — in pharma, biotech, diagnostics, and academia — face a paradox: the more rigorous the science, the more burdensome the record-keeping.
Protocols must be logged step-by-step. Instrument readings recorded in real time. Deviations noted. Every observation captured with timestamps. The notebook — paper or digital — becomes a burden rather than a tool.
The result is a system running on workarounds: notes taken after the fact, memory filling in gaps, and compliance teams patching holes that were never meant to exist.
Purpose-built tools for how scientists actually work — hands-on, in-the-moment, and under pressure to get it right.
A hardware-first solution designed to live at the bench — passively capturing the context of an experiment as it unfolds, without ever asking a scientist to stop and type.
It understands the protocol. It knows what step you're on. And it generates complete, structured documentation in the background while you focus on the science.
The best scientists should be free to focus on the experiment — not the administrative burden around it.
We design for the realities of wet lab work — gloves on, eyes on the sample, hands full. No keyboards. No interruptions. No context switching.
Every observation captured as it happens — time-stamped, attributed, and traceable back to the step it came from. Accurate records at the source, so the science is easier to defend later.
Every gap between action and record is a gap in the scientific story. We eliminate that gap in real time, at the source, without disrupting the experiment.