Why we are unique.
We deliver solutions to our clients rooted in our commitment to uphold excellence, individual privacy and consent management throughout the process.
Our technology
Our technology uses cutting-edge, artificial intelligence and State-of-the-Art homomorphic encryption techniques which allows computations on encrypted data without ever decrypting it, with multiple data sources and users, anywhere in Cloud. Our patent ensures that our technology is primed for certification by ANSSI (French Authority) across a wide spectrum of applications, without any limitations. Central to our solution is the technology that facilitates the exchange of sensitive information between individuals and companies, rooted in trust.
Our DNA
RaiseSense is a spin-off of CEA, a well-recognized organization in Industry. Our team has 12-years in know-how on data privacy and trustworthy AI systems. The privacy-first approach is ingrained in our DNA. We demonstrated our know-how in 15 industrial use cases. Additionally, our team has a 10-year proven expertise on AI and data insight within the realm of digital marketing. Our diverse technical skill set enables an innovative approach to tackling challenges related to data insight, sharing, and privacy.
Our values
RaiseSense strives to bring 'more sense' to the utilization of personal data within our society and economies. We firmly believe that societal and business endeavors can provide valuable services to citizens by leveraging individual data, all the while adhering rigorously to customer expectations, privacy protection, and regulatory compliance. Furthermore, we advocate for a more equitable redistribution of the value generated by the individual data. Every time, we think in ways to enhance and propel our missions forward for the benefit of our clients.
Industrial use cases
A brief overview of some past proof-of-concepts with industrial partners.
Preventive and predictive equipment maintenance
Sensitive information comprises equipment parameters set by the user. By sharing equipment sensor values and parameters with the equipment manufacturer, the production line OEE (Overall Equipment Effectiveness) could be enhanced. Our approach was to apply homomorphic encryption on sensitive data.
Anti-money laundering and terrorism financing
The problem is to mutualize transactional data between multiple financial institutes under regulation constraints and client secret. By overcoming this problem, each institute can improve the detection capabilities of their algorithm. Our approach was to combine federated learning, homomorphic encryption and differential privacy with a Bayesian model.
Speaker speech recognition
The speaker's speech signature is highly sensitive information. Our approach ensures that the signature remains confidential through the use of fully homomorphic encryption and innovative techniques. Our recognition algorithm is state-of-the-art, capable of processing encrypted signatures in real-time and with minimal delay.
Face authentication
The big challenge was to authenticate a user who wants to access to a SaaS service while considering malicious parties in the use case. Our approach combined an advanced homomorphic cryptography protocol and the implementation of a complex non-linear matching algorithm.
And much more...
Please contact us for more information.
Our partners
CEA - List
Commissariat à l'Energie Atomique et aux Energies Alternatives - Smart Digital Systems.
HEC Paris - Challenge+
To help developers of innovative projects with high growth potential build their business plan
Incuballiance
Paris-Saclay's technological incubator