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We are Inorevia
We are Inorevia
Inorevia is a French startup exploiting cutting-edge patented technologies to accelerate Research in Life Sciences.
Inorevia sample prep technology unlocks high resolution data, even from challenging samples, for a variety of omics applications.
At the core of Inorevia’s products lie patented technologies enabling the preservation of a maximum of molecules of interest while eliminating background noise from a sample, ultimately impacting data quality.
Inorevia’s highly efficient, intuitive and full walk-away instruments pave the way toward a new generation of solutions for Life Sciences.
Our values
We are on a mission to improve Life Sciences and Diagnostic worldwide, by providing a new generation of Researchers and Clinicians with a new generation of tools to accelerate Research.
We believe that along with the goal we aim for, the path we take to reach it matters. Our core values define how we interact with our co-workers, partners and customers.
We believe that along with the goal we aim for, the path we take to reach it matters. Our core values define how we interact with our co-workers, partners and customers.
Benevolence
Scientific Excellence
Efficiency
Our customers aim for excellence in their work, and so do we.
Nobody likes to waste time in endless meetings or unfruitful discussions. We are sincere, straight to the point, and promote actions toward results
We put the human first, always. We flourish in helping our coworkers and customers reach their goals.
Our Partners
Inorevia's technology stems from 15 years of research led at the Institute Curie (UMR168, CNRS).
Inorevia continues to receive strong national and regional support, particularly from the Ile de France region, and EIC Accelerator from Europe.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 873262
Inorevia continues to receive strong national and regional support, particularly from the Ile de France region, and EIC Accelerator from Europe.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 873262
