Elemental Partners With PerkinElmer, Lands $9M in VC Bucks

[Updated, 10/3/18, 1:35pm, to clarify the customer relationship] Elemental Machines is a startup making progress in a challenging field. That field would be sensors and systems that monitor and optimize physical processes in life sciences, pharmaceuticals, and other industries. You can tell it’s challenging because there isn’t even a name for it. But it touches on the “Internet of Things,” data analytics, machine learning, and more.

The Cambridge, MA-based startup is announcing today that PerkinElmer (NYSE: [[ticker:PKI]]), the diagnostics, life science, and environmental testing giant headquartered in Waltham, MA, will use Elemental’s software as part of its Asset Genius product, which helps pharma and biotech companies monitor lab equipment and how it’s used.

Elemental’s software takes in a wide range of sensor information (things like temperature and air pressure), stores it, and analyzes it to help labs and other organizations run their processes more effectively.

Elemental Machines also said today it closed a $9 million Series A funding round during the summer, led by new investor Digitalis Ventures, which is based in New York. The investment brings Elemental’s total outside funding to about $11.5 million. (Previous investors in the startup include FF Angel, Max Levchin, and Project 11 Ventures.)

Elemental is led by CEO and co-founder Sridhar Iyengar (pictured above), who previously co-founded the healthtech firms AgaMatrix and Misfit.

“Our whole thesis was that if you can measure everything under the sun, you can… accelerate research and development, and downstream into manufacturing,” Iyengar says. Elemental started by focusing on life sciences—helping chemistry and biology labs track things like temperature and lighting and debug their experiments, kind of similar to how software developers debug their code.

The PerkinElmer deal is a milestone for the startup. “For us, it’s a significant customer,” Iyengar says.

He declined to comment on how much PerkinElmer is paying Elemental, or any revenue growth numbers for his startup. But he characterized this as a vendor-supplier relationship, with PerkinElmer being Elemental’s biggest customer to date.

Elemental was founded in 2015 and has grown to about 25 employees. As its tech platform matures, the company is also expanding beyond pharma and life sciences into other sectors, such as indoor agriculture (think cannabis farms) and manufacturing.

“Originally we wanted to focus on analytics and the A.I. side of scientific data,” Iyengar says. But his team found that getting good data (and the right data) was a big hurdle in the real world, so they spent time improving the data-collection process in their system. “The next area of growth for us is… curation and analysis of that data.”

Author: Gregory T. Huang

Greg is a veteran journalist who has covered a wide range of science, technology, and business. As former editor in chief, he overaw daily news, features, and events across Xconomy's national network. Before joining Xconomy, he was a features editor at New Scientist magazine, where he edited and wrote articles on physics, technology, and neuroscience. Previously he was senior writer at Technology Review, where he reported on emerging technologies, R&D, and advances in computing, robotics, and applied physics. His writing has also appeared in Wired, Nature, and The Atlantic Monthly’s website. He was named a New York Times professional fellow in 2003. Greg is the co-author of Guanxi (Simon & Schuster, 2006), about Microsoft in China and the global competition for talent and technology. Before becoming a journalist, he did research at MIT’s Artificial Intelligence Lab. He has published 20 papers in scientific journals and conferences and spoken on innovation at Adobe, Amazon, eBay, Google, HP, Microsoft, Yahoo, and other organizations. He has a Master’s and Ph.D. in electrical engineering and computer science from MIT, and a B.S. in electrical engineering from the University of Illinois, Urbana-Champaign.