the Reasoning AI for Trusted Decisions by design
automatic knowledge extraction from data
Cutting-Edge No-Code General-Purpose Efficient Augmented Cognitive Knowledge Based Data Driven Augmented Symbolic Continuous Logics Based White-Box Models Generator AI-ACT Compliant
From data, XTRACTIS automatically discovers models of complex behavior in various domains. This can be human decisions, natural phenomena, or artificial processes, like control of autonomous devices.
XTRACTIS-induced models are ready-to-use offline or embedded, for prediction in real-time and optimization.
Reliable white-box AI systems
XTRACTIS models are robust: their performance is higher than mainstream AI techs, as benchmarks prove.
Models are also intelligible: humans are able to fully understand the internal decision-making logic of the AI systems.
Experts can validate their models before pushing to end-use, or audit them before submission to certification to comply with AI regulations for high-risk applications.
XTRACTIS comes in a no-code, feature-rich, all-in-one software platform accessible on a secure private cloud or on-premise servers.
Multiple Predictive Applications
★ Automate complex decision processes to make them systematic, more objective, and more reliable.
★ Optimize automated decisions to increase effectiveness, pro-activity, availability, productivity, and profitability.
★ Secure decision-making support by using transparent models, to minimize risks when decisions are critical.
★ Embed automated decision systems in autonomous devices after their audit and certification.
Whatever your application, you always trust the XTRACTIS-deduced decisions thanks to the Robustness and Intelligibility of your models.
Predictive Personalized Holistic Medicine: metabolic, epigenetic, physiological, pathological. Patient surveillance, Virtual Screening, Protein Homology, Toxicity, Drug Discovery, Health Insurance Risk Management...
Product Design & Ergonomics, Sensory Marketing & Engineering, Smart Industry, Quality Control, Maintenance & Diagnosis, Logistics, Risk Analysis, Environment, Geomatics, Optimization, ADAS, Autonomous Vehicles...
Scoring and risk analysis, Econometrics, Malicious activities, Venture capital, Behavioral finance, Wealth management, Real estate finance, Strategy, Marketing & CRM, Customer behavior (appetence, attrition, emotions), HR, Legal...
Best Accuracy and Intelligibility
Our public Use Cases include comprehensive benchmarks against Neural Networks, Boosted Trees, Random Forests, and Logistic Regression.
These studies illustrate the ability of XTRACTIS to automatically induce knowledge in the form of predictive and intelligible mathematical relationships from real-world data (public data or authorized private data).
For each application, we also show how this knowledge is used to obtain explained predictions for situations unknown from the learning data set.