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§ Private Profile · 185 Alewife Brook Pkwy Ste 401, Cambridge, Massachusetts, 02138, United States
Develops IoT platforms for real-time monitoring and data collection in life sciences labs, focused on lab operations.
Based in Cambridge, Massachusetts, Elemental Machines develops cloud-based hardware and Internet of Things software platforms designed for real-time asset monitoring and data collection in life sciences laboratories. The company provides its Intelligent Operations Platform to over 500 clients across the biopharma, biobanking, and research sectors, generating approximately $7.4 million in annual revenue with a workforce of around 35 employees. The enterprise has raised approximately $54.9 million in total venture capital funding across multiple financing rounds to support its laboratory data management technology. This capitalization includes a $41 million Series B financing round completed in November 2022, which was backed by prominent institutional investors such as Sageview Capital, Omega Venture Partners, Digitalis Ventures, and Founders Fund. Currently operating under the leadership of Chief Executive Officer Edward Seguine, Elemental Machines was originally founded in 2015 by Sridhar Iyengar.
Elemental Machines has raised $52.5M across 3 funding rounds.
Elemental Machines has raised $52.5M in total across 3 funding rounds.
Elemental Machines has raised $52.5M across 3 funding rounds. Most recently, it raised $41.0M Series B in November 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Nov 1, 2022 | $41M Series B | Sageview Capital, Omega Venture Partners | 7wire Ventures, Bessemer Venture Partners, Digitalis Ventures, Gutbrain Ventures, Hubrix Ventures, L.d. Salmanson | Announced |
| Mar 1, 2018 | $9M Series A | — | 7wire Ventures, Digitalis Ventures, Hubrix Ventures, L.d. Salmanson | Announced |
| Feb 3, 2016 | $2.5M Seed | Founders Fund | MAX Levchin, 2M Companies, Project 11, Rock Health | Announced |
Elemental Machines has raised $52.5M in total across 3 funding rounds.
Elemental Machines's investors include Sageview Capital, Omega Venture Partners, 7wire Ventures, Bessemer Venture Partners, Digitalis Ventures, Gutbrain Ventures, Hubrix Ventures, L.D. Salmanson, Founders Fund, Max Levchin, 2M Companies, Project 11.
Elemental Machines builds an Intelligent Operations Platform that integrates IoT sensors, cloud-based software, and predictive data science to provide real-time monitoring, alerts, and analytics for labs and manufacturing facilities.[2][3][5] It serves life sciences (biopharma labs, biobanks, R&D), analytical labs, manufacturing, food service, materials science, academia, and government, solving problems like environmental variability (temperature, humidity, CO2), equipment failures, inefficiencies, and compliance by unifying data streams into actionable insights on a single dashboard.[1][2][3][5] This enables reproducible experiments, proactive maintenance, GxP compliance (including 21 CFR Part 11), and optimized asset utilization, with growth shown through expanded production via partners like MacroFab in 2021 and scalable solutions from incubators to enterprises.[3][6]
Founded in 2016 in Boston (Cambridge, MA), Elemental Machines emerged from CEO Sridhar Iyengar's expertise in sensor technology and manufacturing.[1][4] Iyengar previously founded Agamatrix (diabetes care equipment, focusing on chemical strip production) and Misfit Wearables (low-power sensors and communications), giving him deep insights into reliable sensing and data handling.[1] The idea stemmed from needs in life sciences labs, where ambient factors like temperature and humidity critically impact results; early traction targeted research and production labs with turnkey sensors for continuous monitoring, later expanding via machine learning for intelligence across sectors.[1][2]
Elemental Machines rides the IoT and LabOps digitization trend, bridging physical lab environments with cloud analytics amid rising demands for reproducibility, compliance, and efficiency in life sciences and manufacturing.[2][3][5] Timing aligns with post-pandemic supply chain resilience (USA-made products), AI-driven predictive maintenance, and regulatory pressures like GMP/GxP, where unseen variables cause losses in R&D and production.[1][2][6] Market forces favoring it include biopharma growth, equipment legacy challenges, and data unification needs; it influences the ecosystem by enabling "smart labs," accelerating discovery, and partnering with facilities/tech leaders for scalable integrations.[3]
Elemental Machines is positioned to expand its platform with deeper AI for outcome prediction and broader integrations, targeting enterprise-scale adoption in biopharma and manufacturing as IoT maturity grows.[3] Trends like edge computing, sustainability-focused monitoring, and global health innovation will shape its path, potentially evolving influence through ecosystem partnerships and compliance tools amid regulatory evolution. This builds on its lab unification mission, elevating science from reactive monitoring to intelligent, connected operations.[2]