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Veriteus

Veriteus, founded in 2023, is a Czech AI startup specializing in fraud detection. Our mission is to combat deception through advanced biometric and linguistic analysis, reducing financial losses from fraudulent activities. Leveraging partnerships like the University of West Bohemia in Pilsen, the company develops tools to detect deception in real-time, ensuring accuracy and integrity in risk assessment.

  • Vendor typesProducts & Devices
  • Client typesB2B (enterprises), B2B (startups and SMEs), B2G
  • Business ImpactsData-Driven Decisions & Planning, Employee Enablement & Productivity, Operational Efficiency & Cost Savings, Risk Reduction & Compliance
  • IndustryDefense & Security, Financial Services, Markets & Insurance
  • Application areasData Analytics & Business Intelligence, Legal, Compliance & Risk, Operations & Process Automation
  • Solutions & Services

    Ready-Made Solutions

    Products & Applications, SaaS
  • Technical expertises

    Classical AI & Applications

    Computer Vision & Video Analytics, Natural Language Processing (NLP), Speech Recognition & Audio Intelligence

    Data & Infrastructure

    Data Collection & Annotation, Data Engineering & Architecture, Data Integration & Pipelines, Specialized AI Data Platforms & Tools

    Generative AI

    GenAI Application Development

    Human-Centered AI

    Conversational AI (chatbots, voicebots), Human-AI Interaction & UX Design

    Machine Learning & MLOps

    AI Testing, Evaluation & Validation, Classical ML & Applied Predictive Modeling, Trustworthy & Responsible AI

    Research & Innovation

    Scientific AI Research & Publications

AI fraud detection software, biometric analysis modules, real-time deception detection, insurance claims validation, voice stress analysis, micro-expression tracking, questionnaire-based fraud assessment, fraud pattern recognition algorithms, AI Act compliant solutions, quantum-ready ML models, micro-gesture detection, SaaS fraud detection platform, insurance fraud ROI optimization, automated fraud flagging system.

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