Machine learning (ML) embedded on small devices, also called TinyML, paves the way for a wide spectrum of new applications using and leveraging many information directly on-device.
At Parcoor, our on-device solutions consist in independant blocks: system monitoring and/or ML signal classification. Put together, those blocks can act as a powerful real-time embedded cybersecurity layer.
The first block of our technology consists in in-depth system monitoring. Provides you actionable insights from the deep core of your systems, giving you access to a new dimension of information. High precision and non-intrusive.
The second block of our technology is an in-house cutting-edge machine learning layer specially and directly designed for embedded systems. Low overhead, reliable and explainable: You not only know what decisions it takes, but also why.
Combined together, our monitoring and our machine-learning
blocks form a powerful attack detection and mitigation layer, protecting your fleet of embedded devices from threats and vulnerabilities, and ensuring embedded cybersecurity
and autonomous real-time detection, including "0 day" malwares.
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Who we are
Manuel studied at the ENSAI, worked as a developer and data scientist during many years in various contexts (corporates, administrations, start-ups and academics) and countries (France, Germany and Switzerland).
Ten years in Management of the Bocuse group gave me the opportunity to get a good sense of service, quality and business exigences. Strong of this experience, I can concretely approach AI support for business activities.
Imen holds a master degree in Audit and Finance Controlling and spent most of her career in the finance field. Beyond her operative expertise, she also brings to Parcoor her recently acquired but pretty extensive Data Science & Analytics knowledge.
After completing a cursus in computer science at INSA Lyon, Tristan worked as an embedded software developer in the industry and as a research engineer in the academic field. He then got a PhD in computer science working on embedded devices memory management.
After engineering studies at the École Polytechnique, Thomas designed airplanes at Dassault Aviation during 9 years before focussing on embedded systems. A career change immersed him in the world of data. He specializes in ML algorithms, statistics and neural networks.
After getting graduated from the HKA and from the ENSMM, Adrien built a strong experience in embedded software development during almost 20 years, working on various topics such as manufacturing, automotive and IOT.