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IoT for Science

IoT for Science

Imaging trying to write software on an OS that changes every day - that's what life science is like. Only about 20% of published research is fully reproducible, and we think that needs to change dramatically. Drug development shouldn't take decades and billions of dollars - we need to become better at creating new medicines faster and more cheaply. All of that starts with trusting your experimental data.

Our mission is to accelerate the pace of scientific discovery by collecting data from the real world (ie the "physical OS") to tackle the reproducibility problem. We do this by building sensors and using machine learning to help scientists understand their own data better so they can work faster and more reliably.

Sonny Vu

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Founder of Misfit and AgaMatrix

Gary Tsai

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Embedded software engineer
Founded Elemental Machines, Misfit, AgaMatrix; PhD Cambridge University; Marshall Scholar
Total raised

$2.5M

Funded over

1 round

Latest round

Seed (Feb 2016)

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