• Investment date: June 4, 2018
  • Initial investment stage: Series A
  • Current company stage: Series A
  • Market category: Active, IoT & Robotics
Founder

Srid Iyengar

CEO & Founder - A serial entrepreneur in connected medical devices and wearables, Sridhar is focused on strategy and management at Elemental Machines. Previously, Sridhar was a founder and director of Misfit, makers of elegant wearable products, which was acquired by Fossil in 2015. Prior to Misfit, he founded AgaMatrix, a blood glucose monitoring company that made the world’s first medical device connecting directly to the iPhone. AgaMatrix shipped 15+ FDA-cleared medical products, 2B+ biosensors, 6M+ glucose meters, with partnerships with Apple, Sanofi, and Walgreens. Sridhar holds over 30 US and international patents and received his Ph.D. from Cambridge University as a Marshall Scholar. Beyond Elemental Machines, Sridhar has been known to run 13.1 miles on occasion and has sometimes been spotted on stage behind a wall of drums.

Elemental Machines

From early research and discovery to manufacturing, everyone in biology and chemistry-based industries knows that the physical environment can affect the entire product lifecycle. What they don’t know is exactly how, or the cumulative cost of not knowing — higher R&D expenses, slower time to market for innovative products and life-saving therapies, yield loss during manufacturing, and more. With a deep understanding of these issues, Elemental Machines is delivering unprecedented insight into complex processes, helping customers refine and accelerate their work across all phases of product innovation. By gathering and synthesizing environmental data into actionable information, the Elemental Machines Sensory Network™ provides critical insights that improve transparency, repeatability and outcomes, and save customers time and money. Track contextual variables (temperature, humidity, air pressure and light) in the research lab or monitor critical equipment performance (freezers, refrigerators, ovens, and incubators) for easy access to performance data, as well as alerts if readings are out of range.