DRAIV - Driving Generative AI Virtual Assistant
Intelligent and integrated systems to optimise emissions and environmental services in sustainable mobility.
Artificial Intelligence
Advanced applied-AI solutions to turn company data and processes into competitive advantage: from machine learning to agentic architectures.
Idea-Re integrates Deep Learning, Generative AI, eXplainable AI, and Agentic AI to develop decision-support systems, optimize industrial processes and build tailor-made intelligent platforms.
Areas of expertise
What we do
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We design deep neural networks and supervised and unsupervised models to extract value from structured and unstructured data. We include high-performance brain-inspired approaches such as Hyperdimensional Computing (HDC) for classification, and probabilistic models for managing uncertainty:
- Predictive models: market forecasting, predictive maintenance and risk analysis.
- Anomaly detection: identifying anomalies in sensor networks and IoT systems.
- Explainable AI (XAI): interpretable models for regulated industrial processes.
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We develop systems based on Large Language and Generative Models and agentic architectures to automate complex workflows, generate structured content and build intelligent assistants that integrate into business processes.
- RAG systems and knowledge bases: retrieval-augmented access to company documents.
- AI Agents and workflow automation: orchestration of autonomous agents for decision-making and operational tasks.
- Customized conversational interfaces: chatbots and copilots for vertical applications.
- Decision support systems (DSS): integrated AI architectures to support operational and strategic decisions in real time.
- ESG monitoring and reporting: Agentic AI platforms for the continuous monitoring of environmental, social and governance metrics, with quantitative support for non-financial reporting (Q-ESG project)
- Integrations with digital platforms: development of AI modules embedded in existing web, mobile and industrial platforms.
- Text mining and sentiment analysis: extracting insights from documents, contracts and feedback.
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We integrate artificial intelligence into cybersecurity strategies to detect threats in real time, anticipate attacks and protect the company's digital infrastructure.
- Intrusion detection based on Machine/Deep Learning: identifying anomalous behavior on networks and systems.
- Deep Learning for malware detection: neural models trained to recognize known and zero-day malware, with real-time classification and behavioral analysis capabilities.
- AI-assisted Incident Response: intelligent systems for alert correlation, incident prioritization and support for response and containment activities.
- Predictive vulnerability analysis: proactive risk prevention before risks become incidents.
- IoT and OT security: protection of connected devices and operational networks in Industry 4.0 contexts.
- Sandboxing and isolated environments: safe analysis of malware and threats without exposing production systems.
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Idea-Re's R&D team has developed and published AI algorithms applied to real-world contexts: from environmental monitoring to water management, from precision agriculture to finance. We operate wherever data meets critical decisions.
- Smart Agriculture: soil moisture forecasting, detection of anomalies in plant growth, DSS for irrigation.
- Smart City & Smart Land: nowcasting systems for wastewater management, air quality monitoring, sewer network optimization.
- Industry 4.0: leak detection in damping systems, non-invasive measurements for biological characterization, in-process monitoring in additive manufacturing.
- Fintech & Insurance: food price forecasting, risk assessment models for agricultural insurance policies.
Featured
Research Projects
Q-ESG
Innovative digital platform for monitoring and forecasting the ESG impact of projects and investments.
Watch the videoVIBES 4.0
Data, platforms and A.I. algorithms to improve workplace safety.