Skip to main content
About

Built by people who have waited for a plate reader.

Pelushka's Lab exists because experimental science is overdue for the same shift that has already reshaped every other data-heavy field: a real bridge between laboratory work and the artificial intelligence and machine learning tools built to support it. We're building that bridge to lower the cost of running an experiment and raise how much of a scientist's time actually goes to the science.

Mission

Remove the manual handoffs, spreadsheet detours and repeated assays that sit between good instruments and good decisions. Build software that lets scientists spend their time on the science, not on moving data between systems.

Vision

A future where every laboratory runs on a connected data layer: instruments, software and AI agents working from the same continuous record, while the judgment that matters most stays exactly where it belongs: with the scientist.

Principles
01

Evidence before claims

We do not invent statistics, clients, or performance figures. Everything we state is backed by code and by the laboratory.

02

Scientists stay accountable

Software detects, organizes, and analyzes. Approval, rejection, and override stay with the scientist, always.

03

The smallest thing that works

We ship the smallest piece of automation that closes the gap in front of us, then build on it.

Tor Brager-Larsen III

Founder

With a biotechnology degree and hands-on laboratory experience across several labs in Michigan, I've seen up close how much time in experimental science gets lost to work that has nothing to do with the science itself. Now specializing in bioinformatics and biomedical data analysis, I started Pelushka's Lab because I believe it's time to modernize that workflow. I'm building the bridge between the laboratory and the AI and machine learning tools that can lower costs and raise efficiency for labs everywhere.