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Experiment Engine

Powerful AI for Experimental Science

Solution Prep + Measurement

● Live
Category: BiochemistryResearcher: @galileoLab: HDX ResearchExp: exp_17719637
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Lab Logs0 entries
processing frames...
Sensor Box Live
Temp22.1 °C
Humidity41.7 %
Pressure101.2 kPa
VOC0.33 ppm

Experiment Engine

Observe science in its natural state

Experiment Engine observes wet-lab experiments in real time, at the bench, documenting every step taken in-situ and providing passive assistance

Lab setup with camera, sensor box, equipment with bounding boxes, Lab Logs UI, and Sensor Box readings

Lab Logs

Lab Logs are generated that document the end-to-end scientific process. Every action, interaction, and measurement is captured with precise timestamps.

Sensor Data

Connect one of our 'Sensor Boxes' to your computer to include environmental sensor readings in your experiment data.

How it works

Experiment Engine runs in your browser with computer vision and AI, using your own camera and, optionally, a Sensor Box.

Use any camera your computer supports (overhead view recommended). You do not need our Setup Kit to get started.

After providing basic context, the system detects relevant objects and continuously logs (predicts) actions, interactions, and deviations in real time.

After completion, users maintain a private or public record of the experiment, including event logs, sensor data, context, files, and video.

Lab bench setup with camera on tripod, scale, pipette, and equipment
Computer vision interface showing detected lab objects with bounding boxes and confidence percentages
EE Sensor Box hardware device
SENSOR DATA
Temp21.1 C
Pressure1013.3 hPa
Humidity22.9%
VOC212
Exp: exp_17719637...

Sensor readings are embedded inside each individual event log

Shop

Optional hardware for the lab bench. You can run Experiment Engine with your own camera and skip the kit entirely.

macOS · Free & open source

Sensor Box OS

A dedicated Mac desktop app for the EE Sensor Box — use it on its own, without running Experiment Engine. Plug in your Sensor Box, start a live timed session, and capture every environmental reading (temperature, humidity, pressure, VOC). When you're done, export the session as CSV or JSON.

For now, run the app locally from source on GitHub (Node.js and Rust required). A signed Mac installer will be available later.

Quick start (from the repo README):

git clone https://github.com/avwtr/SensorBox.git
cd SensorBox
npm install
npm run tauri dev

Free and open source — view source, contribute, or fork