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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.
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.
As Xtractis is a General-Purpose Ai, applications have the same goals whatever the sector:
☆ Automate complex decisions, processes, and machines to make them intelligent and reliable.
☆ Secure decision-making support to minimize risks when decisions are critical.
☆ Optimize decisions transparently and reliably to increase effectiveness, productivity, availability, profitability…
Whether you are a Domain Expert, R&D Engineer, Researcher, Analyst, Marketing Manager, or Decision Maker, you develop your own models with mouse clicks.
You quickly get reliable white-box decision systems that are valuable for high-risk predictive applications in Health, Finance, R&D, Autonomous Machines, Defense, Security, and Cybersecurity.
Whatever the 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...
Autonomous Systems, Collaborative Devices, Command & Control, Malicious Activity Detection, Surveillance, Cybersecurity...
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...
Our public real data use cases include comprehensive benchmarks against Neural Networks, Boosted Trees, Random Forests, and Logistic Regression.
Click on a slide to access the corresponding Use Case.