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OptiML

A machine learning predictive modeling software for the chemical industry

May 2021
Gallery OptiML 1
Gallery OptiML 1
01.

Identification

OptiML is a machine-learning predictive modeling software that generates accurate results from extremely small datasets, as little as 5 experiments. The solution enables process chemists across the industry to develop reactions 3 times faster, reduce resource consumption and greenhouse gas emissions, and reach novel and more efficient processes. It predicts the output of thousands of experiments using only a few points, leading to better final results in a faster timeline. OptiML enables chemical companies to innovate and implement more sustainable processes.

Label Date May 2021
From United States
Maturity stage Prototype testing in the real world
Looking For Visibility, Funding, Partners, Credibility

Sectors - Value chain - Application

Sectors
Applications
Design, Power & Produce
Package & Distribute
Valorize & Restore
Value Chain Steps
02.

The environmental benefits

  • Develop reactions 3 times faster
  • Improve process performance by a few percentage
  • Incentivises the development of complex sustainable reactions instead of traditional processes
  • Reduces by 75% the resources (materials, energy) required to develop reactions
03.

The Financial benefits

  • Enable the development of more reactions and products in a shorter timeframe (3 times faster to develop one reaction)
  • Payback in less than a year
  • Few % increase in production that can lead to millions of $ in savings down the line
04.

Activity Region

  • /
  • Headquarters
  • Activity
05.

Company Profile

Sunthetics

Advancing AI in the chemical industry and accelerating sustainable innovation

View company profile Solution website
Headquarters Brooklyn Heights, NY 11201, USA
Connect with the innovator Save to Project

The information set out above, is solely for the purposes of information and the Solar Impulse Foundation does not provide any guarantee as to its authenticity, completeness or accuracy. This information does not constitute investment advice or a recommendation to buy into, transact or to enter into any agreement with any of the parties or persons mentioned above. Potential investors or interested parties are solely responsible for their investment or business decisions and for performing any due diligence required by the circumstances.