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

artificial intelligence

general-purpose AI

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.

To accomplish this challenge, our technology reproduces human induction to find relevant knowledge from observations as in experimental sciences. It also implements the other 2 modes of reasoning: Deduction and Abduction, to easily put this knowledge into use.


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.

Our algorithms are based on the mathematical theory of Fuzzy Relations of order N: fuzzy logic is more consistent with real-world data than binary logic without loosing human understanding. Our solution also implements Collective and Evolving Learning algorithms to obtain models having the highest possible performance.


AI Platform

XTRACTIS comes in a no-code, feature-rich, all-in-one software platform accessible on a secure private cloud or on-premise servers.

0 %
Proprietary Algorithms
100 %
Code & Framework
# 6
for Models Intelligibility
# 6
for Models Robustness

Multiple Predictive Applications

As XTRACTIS is a Trusted General-Purpose AI, you can use it in any sector to:

★ 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...

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...

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.

No-Code All-in-One AI Platform

Induction Robots

Discover your process rules from data and understand how it behaves.


Deduction Robots

Make real-time predictions at high-frequency for new input situations.


Abduction Robots

Automatically invert your models to discover the most optimal solutions in no time.


Supervision Engine

Supervise the quality of your deployed models to take action when they expire.


Prof. Zyed ZALILA

CEO-founder, Intellitech

Cognitive psychology studies show that conscious human reasoning is limited to at most 9 criteria simultaneously. As a result, the non-augmented human will not be able to design decision-making rules, involving tens or even hundreds of interacting variables, to model complex behaviors.
Thanks to its Augmented Fuzzy AI, XTRACTIS is positioned as a universal predictive modeler of complex processes.
Like an exobrain that extends the human cognitive capacities, it allows us to apprehend all the pluridimensionality of the real world, without reduction nor simplification.
A human being does not reason in black or white, but with an infinite palette of shades of gray. Human reasoning cannot be modeled by a binary logic, but thanks to infinite-valent quantum logic, which we commonly call "fuzzy logic".
In a real world that we perceive with vagueness, uncertainty and subjectivity, using Fuzzy Mathematics allows modeling of complex phenomena and processes in a nuanced and more accurate way.
Paradoxically, XTRACTIS can explain a human expert's unconscious implicit knowledge which, in essence, cannot be explained. XTRACTIS can also decipher the hidden decision strategy of a black-box model.
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