Applied Artificial Intelligence is a core pillar at Gradiant. We transform large volumes of data into useful, reliable, and secure decisions, addressing the complexity and scale of information generated across multiple sectors.
We develop efficient, transparent, and ethically aligned AI solutions, embedding privacy and security by design. Our machine learning models are optimized to deliver accuracy, speed, and low power consumption even on edge devices or resource-constrained environments.
Our vision of Trustworthy AI ensures that the technologies we build are explainable, traceable, and robust, reducing risks and complying with regulatory frameworks such as those of the EU and NIST. This approach allows us to mitigate bias, protect sensitive data, and ensure that AI acts responsibly and sustainably over time.
In an environment of increasingly sophisticated cyberthreats, Artificial Intelligence becomes a decisive factor to anticipate, detect, and respond to incidents in real time.
We develop systems that combine User and Entity Behavior Analytics (UEBA), process mining, and deep learning to identify anomalous activity before it has any impact. We apply AI to fraud prevention, intrusion detection, and automated incident response, strengthening the digital resilience of critical sectors such as finance, healthcare,... Continue reading
The centralization of data in the cloud poses growing challenges in privacy, efficiency, and sustainability. At Gradiant, we research and develop decentralized AI solutions, where processing is performed at the network edge or directly on devices.
Through federated learning and confidential computing, we enable multiple nodes to collaboratively train global models without transferring sensitive data. This reduces both latency and bandwidth consumption.
The same philosophy drives our research in AI for communications,... Continue reading
The next generation of intelligent systems requires technologies capable of understanding and processing complex, multimodal information. We develop AI that integrates text, image, audio, and video to generate more complete, reliable, and contextual analyses. These techniques are applied in cybersecurity, defense, healthcare, and industry, where a single data channel is insufficient to achieve a comprehensive view.
We also explore neurosymbolic AI, which combines machine learning with logical reasoning to create systems... Continue reading
