SCALNYX presents its breakthrough technology for confidential cloud computing, built on Fully Homomorphic Encryption (FHE).
Machine learning without exposing the data
Fully Homomorphic Encryption makes it possible to run computations directly on encrypted data — without ever decrypting it. Applied to Machine-Learning-as-a-Service (MLaaS), a model can be trained or queried on sensitive financial data while that data stays fully encrypted end to end, protecting confidentiality and supporting data sovereignty.
Why it matters for regulated finance
For banks, insurers and asset managers, data privacy and regulatory compliance are non-negotiable. Confidential MLaaS based on FHE lets institutions benefit from advanced analytics and AI while keeping client and proprietary data protected — even from the service provider running the computation.
SCALNYX is building one of the fastest and most efficient confidential-computing platforms based on FHE for the financial industry.