Malaria begins with a mosquito’s decision to land.

Learn

mZero is a global scientific effort to turn mosquito behavior data into training data. Our models learn which kinds of compounds are most likely to change a mosquito’s decision to land on human skin.

Partnering with leaders in malaria research, machine learning, and compute.

  • University of Toronto, Chemical Engineering & Applied Chemistry
  • United States Department of Agriculture
  • NVIDIA Inception Program
  • Ifakara Health Institute
  • Lambda
  • Google Cloud
  • Spectrum Impact

Mosquito behavior data to malaria prevention.

Goal 01 ·

Run 50,000 behavior-rich assays a month and share results within 24 hours of each run.

Goal 02 ·

Predict how at least 75% of new compounds change mosquito landing behavior.

Goal 03 ·

Scale-up at three formulations that reduce malaria transmission by at least 50% compared with current options.

Mosquito behavior data → training data → compounds that change a mosquito’s decision

CONTROL
COMPOUND 143

Ask questions across every assay, compound, and result.

Get an Ask mZero setup code from your lab portal, then connect it to Claude, Codex, or your terminal.

What we’ve done so far.

2,073 Mosquito assay runs to date
932 Crop-safety tests
2 Network labs
50,000 assays Target · not yet reached

Work with mZero.

Lab support The how-to of getting started. Questions The basics of what we're building and why. Request access Request access to our lab network.