ScalAttrib™: Scalnyx Causal Performance Attribution
ScalAttrib™ for ESG portfolios and responsible
PROJECTOR™ No Code traceable decision platform learns an asset universe with massive number of factors in real-time to find explicit cause-and-effect links and hidden signals that human expertise can leverage for better decisions.
Signals are hidden in your data, use PROJECTOR to uncover them
PROJECTOR™ Key Benefits
Quickly build your business app with our simple No Code AI interface.
Our financial apps: ESG impact scoring/ranking, risk indicators, stress testing, portfolio long/short alpha signals with strategy backtesting, AML/fraud anomaly detection
More apps to come
Profit from our latest in-house built technologies in high performance computing to learn Causal AI models on multiple CPU/GPUs, extract massive amount of signals and validate the winning ones.
No black magic AI. Our Causal AI models and the decisions are explainable and traceable. Plus, the expert can see them and control them.
We can even build models from sensitive data with our PET confidential computing library.
Stop the rat race of buying more alternative data. Import your own dataset, timeseries or cross-sectional, and start analyzing and leveraging the hidden signals in your existing data.
Start generating revenue immediately by integrating the signals in your own business workflows with our REST API, or directly in your code with our Python API.
Artificial intelligence empowers finance
Use cases
Improve portfolio decisions with our Projector solution, Causal AI platform that detect causality between data, find out key factors and give explainable analysis.
Option valuation for a broker: Scalnyx built a custom Machine Learning-based deep pricing model to replace the numerical algorithm with stochastic volatility.
Machine learning for NMRF internal model for a 1 Tier Bank. More robust, more precise, more explainable.
For an exchange: We developed an ultra low latency and scalable C++ actor model runtime to build the full matching engine system with integrated resiliency.
Artificial intelligence empowers finance
Let's innovate together
Our Insights
Anticipate crises in investment strategies: using Causal AI to build custom risk indicators for your portfolio Download our whitepaper La
The fundamental review of the trading book (FRTB) drawn up by the Basel Committee (Basel Committee on Banking Supervision) imposes
SCALNYX Pitch by Nicolas LEVY COO of SCALNYX at the occasion of the CCI Reliance IDF day
The ability to rapidly process and analyse massive amounts of data to improve processes, products and services, is one of
Les analystes quantitatifs, les « quants », doivent rivaliser d’habileté pour mettre au point et utiliser des modèles qui permettront
Scalnyx et le CEA s’associent pour proposer une solution industrielle «sécurisée par conception» pour accélérer l’exécution d’applications de traitement de
SCALNYX worked as a team with ITO 33 on AI based optimization generating complex calibration and smart distribution of data.
Our start-up is growing and is looking for profiles to join its engineers team. Look at our job postings here
SCALNYX and CEA List presented at the e-congrès Lambda Mu 22 conference on risk management, their joint research paper in
SCALNYX published an article in FTX digest, one of the world’s leading crypto exchange. The article talks about market quality
SCALNYX successfully attained the Deeptech label by BPI (Public Investment Bank) for an original research project in the data security
SCALNYX breakthrough technology for confidential computing. See publication
SCALIFAI™ for fast and accurate option pricing by machine learning. Download whitepaper Download whitepaper × Close
Power the first scalable matching engine with zero data loss. See publication
Levyx chosen by Scalnyx to power the world’s first highly available and scalable matching engine with zero data loss Levyx’s
Scalgo™ for high performance computing. See publication
