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USA: Online Monitoring Technology

Diamond Edge Ventures Invests in Realtime Analytics Startup

| Editor: Alexander Stark

Acomp can extract samples directly from the reactor enabling continuous real-time monitoring of the physical properties of polymers in the reaction process.
Acomp can extract samples directly from the reactor enabling continuous real-time monitoring of the physical properties of polymers in the reaction process. (Source: Fluence Analytics)

Mitsubishi Chemical Holdings Corporation announced that Diamond Edge Ventures has invested in Fluence Analytics, a startup spun-off from Tulane University in 2013. The company provides real-time analytics solutions called “Acomp” (Automatic Continuous Online Monitoring of Polymerization), an online monitoring system for chemical reactions such as polymer synthesis.

New Orleans/USA — Fluence Analytics, a startup that developed the Acomp technology, recently announced it has raised a Series A-1 funding round. The financing includes participation from existing investor Energy Innovation Capital (EIC) and new investor Diamond Edge Ventures, the US venture capital arm of Mitsubishi Chemical Holdings Corporation established in 2018. The startup will use the new funds to support its paid proof of performance trials, expand sales activities, and invest in new hardware and software capabilities.

“Acomp” (Automatic Continuous Online Monitoring of Polymerization) is an online monitoring system for chemical reactions such as polymer synthesis.
“Acomp” (Automatic Continuous Online Monitoring of Polymerization) is an online monitoring system for chemical reactions such as polymer synthesis. (Source: Fluence Analytics)

Acomp can extract samples directly from the reactor enabling continuous real-time monitoring of the physical properties of polymers in the reaction process. Real-time data obtained with Acomp is combined with operation conditions data obtained from other sensors and then analyzed and predicted to optimize reaction systems, which make it possible to improve operational excellence and product quality. In R&D, it is expected that the use of detailed polymeric data will lead to greater efficiency, such as reducing the number of experiments, and to the development of new materials.

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