Summary
- Profile Type
- Technology offer
- POD Reference
- TOIT20250213016
- Term of Validity
- 13 February 2025 - 13 February 2026
- Company's Country
- Italy
- Type of partnership
- Commercial agreement with technical assistance
- Targeted Countries
- All countries
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General information
- Short Summary
- An Italian SME, provides an advanced edge computing platform based on cognitive AI that democratizes industrial automation by combining AI-driven reasoning and IoT workflow orchestration. The system empowers domain experts—without requiring specialized technical skills—to create and manage complex IoT workflows in real time, integrating seamlessly with diverse protocols and industrial systems. Target industries include smart infrastructure, smart city, and smart manufacturing, among others.
- Full Description
-
The Italian SME, Rome based, has a strong background in embedded systems, data management, and industrial process optimization, serving clients in sectors such as manufacturing, telecommunications, defence, automotive, aerospace, and public administration. The newly developed edge computing platform leverages cognitive AI to interpret user requirements expressed in plain (natural) language, translating those requests into structured data, and ultimately into executable IoT workflows.
Key Components:
● Natural Language Interface
The system accepts free-form text input in English or Italian and uses advanced NLP models (e.g., BERT, GPT) to extract relevant parameters (thresholds, devices, actions). This approach allows domain experts to specify automation scenarios directly, without needing programming expertise.
● Cognitive AI Reasoning Engine
A hybrid combination of machine learning and symbolic reasoning drives the platform’s cognitive capabilities. Through a Knowledge Graph, the engine understands relationships between devices, processes, and workflows, ensuring proposed solutions respect industrial constraints, domain rules, and best practices. Machine learning techniques (including reinforcement learning) enable continual improvement as the system gathers performance data over time.
● Workflow Orchestration & Integration
A dedicated orchestration module translates the reasoning engine’s outcomes into actual IoT workflows, defining triggers (e.g., a sensor reading above a threshold), actions (e.g., sending alerts, stopping a machine), and data flows. The platform supports any communication protocol (MQTT, OPC-UA, HTTP, CoAP, Modbus, etc.) and can integrate with existing industrial solutions, including SCADA and MES systems, through adapters that ensure secure, bidirectional data exchange.
● Feedback & Adaptive Learning
Real-time monitoring and logging track workflow performance. Feedback from users, combined with operational data, feeds back into the AI models for adaptive learning. This closed-loop approach continuously refines NLP interpretation, device orchestration logic, and overall workflow efficiency.
Applications in Smart Infrastructure, Smart City, and Smart Manufacturing
While the platform is particularly suited to smart manufacturing—covering tasks like real-time monitoring of temperature, pressure, humidity, machine operation parameters, predictive maintenance, and production forecasting—it also addresses smart infrastructure use cases, including structural monitoring of bridges and tunnels and water network analysis for forecasting potential pipeline leaks. In smart city environments, the platform can manage smart parking, traffic flow regulation, and environmental monitoring. Thanks to its modular design and support for multiple communication protocols, it can be easily adapted across a broad range of industrial and civil applications. - Advantages and Innovations
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Cognitive AI for Non-Technical Users
Domain experts can design and deploy automation workflows without needing deep IoT or AI expertise, thanks to the natural language interface and a robust AI reasoning layer.
Protocol-Agnostic Integration
The system supports all major IoT/industrial communication protocols (MQTT, OPC-UA, Modbus, etc.), ensuring seamless integration with legacy or third-party devices, SCADA, MES, and other systems.
Adaptive Learning
Machine learning algorithms, coupled with a Knowledge Graph, allow the platform to continually optimize workflow performance and enhance predictive capabilities as more data is collected.
Secure, Scalable Edge Computing
The solution employs advanced security frameworks and cryptographic protocols for data exchange, ensuring reliable operation even under resource-constrained environments. Container-based deployment (Docker, Kubernetes) and microservices architecture enable scalability and ease of updates.
Real-Time Monitoring and Feedback
Data is captured and analyzed in real time, providing insights that help operators make informed decisions instantly and adapt workflows to changing conditions. - Stage of Development
- Already on the market
- Sustainable Development Goals
- Goal 11: Sustainable Cities and Communities
- IPR description
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Type of partner: SMEs, large companies, system integrators, public entities, and manufacturers seeking secure and intelligent IoT automation solutions for smart infrastructure, smart city, and smart manufacturing applications.
Area of activity: Integration and management of IoT-based automation, real-time monitoring, predictive maintenance, or data-driven decision-making in industrial and non-industrial environments.
Partner Sought
- Expected Role of a Partner
- Role: Partners can license the technology to build or enhance their own solutions, or engage in a commercial agreement with technical assistance where the SME provides support for implementation, training, and integration into existing systems.
- Type and Size of Partner
- R&D Institution
- Big company
- University
- SME 50 - 249
- SME 11-49
- Type of partnership
- Commercial agreement with technical assistance
Dissemination
- Technology keywords
- 03002 - Process Plant Engineering
- 03003 - Apparatus Engineering
- 01003003 - Artificial Intelligence (AI)
- 11009 - Creative products
- 11005 - Infrastructures for social sciences and humanities
- Market keywords
- 02007005 - Communications/networking
- 02007011 - Manufacturing/industrial software
- 02007016 - Artificial intelligence related software
- 02007001 - Systems software
- 02007007 - Applications software
- Sector Groups Involved
- Aerospace and Defence
- Targeted countries
- All countries