Surveiller toute la concurrence en continu

Cartographie permanente des mouvements mondiaux d'innovation des concurrents d'ENGIE du signal détecté à la menace qualifiée.

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Case detail
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Project challenges

Identifying fraud in dynamic environments requires high-precision anomaly detection and strict compliance. Financial data complexity posed major analytical demands.

  • Detecting risk without false positives.
  • Processing high-volume transactions continuously.
  • Ensuring compliance with global regulatory standards.
  • Preventing system delays in secure environments.
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The solution

We engineered a compliant and transparent AI risk model integrated into existing transaction systems. It analyzed behavioral patterns, identified potential fraud, and recommended smart intervention in real time.

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The result

Banks experienced stronger security, improved trust, and significantly fewer fraudulent activities.

400

opérations identifiés chez le concurrent le plus actif

8k

signaux technologiques qualifiées en quelques secondes

100

%

Regulatory compliance maintained

Project information

Date:
June 17, 2026
Client:
ENGIE Research & Innovation
Industry:
Energie & IA & Robotique
Services:
Intelligence de marché · Cellule dédiée
Technology stack:
Python, Scikit-learn, AWS Lambda, MySQL

“The accuracy and transparency of this system has strengthened our fraud defense significantly.”

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Mason Clark
Chief Risk Officer
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call & introduction
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NOus contacter

Notre méthodologie
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Meeting d'introduction de 30min
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Cadrage d'une mission de conseil
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Opérationnalisation

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