Blog
AI Bias in Credit Scoring: Building Fair and Explainable Lending Models
Discover how AI bias in credit scoring affects lending decisions and how explainable and causal AI improve fairness, transparency, and compliance.
Insights
Publications, company news, and press releases from the Scalnyx team.
Blog
AI Fraud Detection in Banking: Moving Beyond Rule-Based Systems
Discover how AI fraud detection in banking identifies evolving fraud patterns and how causal and explainable AI improve accuracy and decision-making.
Blog
Causal Inference in Quantitative Finance: Moving Beyond Correlation
Discover how causal inference in quantitative finance improves risk modeling, scenario analysis, and decision-making beyond correlation-based AI models.
Blog
EU AI Act Compliance in Finance: AI Regulation for Financial Institutions
Understand EU AI Act compliance in finance. Learn how explainable and causal AI help banks meet AI regulation, transparency, governance, and risk management requirements.
Blog
Financial Stress Testing Models: Moving Beyond Historical Scenarios
Discover how financial stress testing models evolve beyond historical data using causal AI to improve risk modeling, scenario analysis, and decision-making.
News
Scalnyx joins Platform58: La Banque Postale prestigious incubator
Scalnyx joins Platform58, the prestigious innovation incubator launched by La Banque Postale.
News
Scalnyx: Winner 1st prize at Challenge Innovea 2025 by Groupe Caisse des Dépôts
Scalnyx wins 1st prize at Challenge Innovea 2025 organized by Groupe Caisse des Dépôts.
Press Releases
Scalnyx: Startup of the year at AMTech 2023
Scalnyx recognized as Startup of the Year at the AMTech 2023 conference.
Publications
Whitepaper – Anticipate crises in investment strategies: using Causal AI to build custom risk indicators for your portfolio
Download our whitepaper on using Causal AI to anticipate crises and build custom risk indicators for investment portfolios.
Publications
Study on Management of Non-Modelable Risk Factors (NMRF) via machine learning
A method to manage Non-Modelable Risk Factors (NMRF) using machine learning under the FRTB framework, compared against the market method.
News
EIT Manufacturing BOOSTER project: Secure solution, unlocking the full potential of data
The BOOSTER project consortium developed a secure cloud computing solution using Homomorphic Encryption to ensure full data confidentiality and sovereignty.
Publications
Artificial intelligence in quantitative finance: hype or reality?
An in-depth look at the real-world applications of AI and machine learning in quantitative finance, from risk assessment to portfolio optimisation.
News
Scalnyx and CEA joint collaboration partnership
Scalnyx and CEA join forces to deliver Scaltrust, an industrial 'secure by design' solution combining homomorphic encryption with high-performance software acceleration.
News
Scalnyx and ITO33 Partnership
Scalnyx and ITO33 sign a joint R&D partnership to advance Causal AI and machine learning for financial derivatives pricing.
Publications
SCALNYX and CEA: prestigious conference about Full Homomorphic Encryption (FHE)
SCALNYX and CEA List presented joint research on Privacy preserving MLaaS based on homomorphic encryption at the Lambda Mu 22 conference on risk management.
News
SCALNYX is Deeptech labelised
SCALNYX successfully obtained the Deeptech label by BPIFrance for its breakthrough state-of-the-art technological innovation.
Publications
Confidential MLaaS based on homomorphic encryption – Challenges and obstacles
SCALNYX presents its breakthrough technology for confidential cloud computing based on Fully Homomorphic Encryption (FHE).
Industry Recognition
Featured in Gartner Hype Cycle for AI, 2025
Causal AI identified as a key emerging technology transforming enterprise decision-making.
Read the report
Awards and Labels of Excellence
Recognized by leading institutions in innovation, finance, and deeptech.
