Innovative Solutions

ComplyBot is an AI driven GDPR compliance platform designed for use by DPOs (Data Protection Officers), SMEs, and public organizations. Its mission is to make data protection regulation manageable even for organizations without large legal teams or big budgets. ComplyBot automates many of the tasks and documentation burdens that accompany GDPR, letting your team focus on core mission rather than legal mechanics.

ITML’s federated learning (FL) framework, developed within the CyberSecDome project, provides a powerful solution for privacy-aware information and knowledge sharing across cybersecurity infrastructures. Designed to facilitate collaboration among diverse organizations without compromising sensitive data, this framework enables the secure exchange of AI model parameters — such as weights, hyperparameters, or evaluations —without revealing the raw data used in training. It offers a practical and privacy-focused response to the challenge of sharing intelligence across silos in an increasingly connected digital threat landscape.

The SENTINEL Identity Management System (IdMS), developed by ITML, is a modular, privacy-aware identity and access management platform designed for seamless, EU-wide digital identity federation. Built to support GDPR-compliant data sharing and the MyData paradigm, it empowers users with full control over their data, roles, and access rights across connected third-party services and applications. The solution ensures that digital identities are secure, centralized, and interoperable — whether for individuals, SMEs, or larger enterprises.

humanAify is a next-generation AI and agentic business assistant developed by ITML to help organizations work smarter — not harder. Built with the latest advances in Generative AI, Knowledge Retrieval, and Agent-Oriented Design, it learns each company’s language, processes, and workflows to provide contextual, explainable, and secure assistance across all departments.

The Data Fusion Bus (DFB) is ITML’s modular, scalable middleware designed to unify heterogeneous data sources — from IoT devices and edge nodes to cloud platforms and enterprise systems—into a single, interoperable data ecosystem. Acting as an intelligent data exchange and orchestration layer, DFB enables trustworthy, low-latency data fusion and analytics across domains such as mobility, environment, energy, and security.

ITML’s Deep Anomaly Detection Module is a powerful AI engine designed for detecting rare or unexpected behaviors in complex, sequential datasets — particularly suited to cybersecurity, IoT, and resource monitoring scenarios. Developed within the TEACHING project, the module operates as an unsupervised intrusion detection system, leveraging autoencoders combined with LSTM networks to learn the normal behavior of time-series data and flag deviations as potential anomalies.

ITML’s UXaaS is a cloud-native platform that redefines how organizations approach user experience (UX) design and optimization. Instead of relying on static, manual testing cycles, UXaaS enables continuous, automated monitoring and enhancement of digital interfaces by combining real-time user analytics, machine learning, and adaptive UI logic. It offers a data-driven approach to tailoring experiences based on individual needs and behaviors, thereby ensuring that platforms evolve alongside their users.