Summary
- Profile Type
- Business Offer
- POD Reference
- BOGB20250430019
- Term of Validity
- 30 April 2025 - 30 April 2026
- Company's Country
- United Kingdom
- Type of partnership
- Commercial agreement
- Investment agreement
- Supplier agreement
- Outsourcing agreement
- Targeted Countries
- All countries
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General information
- Short Summary
- UK tech company offers an AI-powered SaaS solution that transforms structural health monitoring (SHM) data into predictive insights. It detects defects 10x earlier, cuts maintenance costs by 65%, and prevents closures. The AI understands structural physics, making it adaptable to infrastructure, energy facilities, and buildings. The company seeks commercial agreements with infrastructure owners, public authorities, and engineering firms to deploy and test the solution in real-world environments.
- Full Description
-
This UK-based SME is the first company globally to commercialise AI-driven predictive monitoring for structural health. Their innovative platform transforms real-time structural health monitoring (SHM) data into intelligent forecasts, enabling engineers and asset owners to detect early-stage defects—often before visible signs emerge. This proactive approach facilitates timely maintenance, extends asset lifespan, and prevents critical failures.
The system is sensor-agnostic, API-compatible, and already operational across a range of infrastructure types, including highways, bridges, tunnels, and utility networks. Trusted by industry leaders such as WSP, Mott MacDonald, and UK local councils, the platform is playing a key role in shifting infrastructure management from reactive responses to AI-powered predictive maintenance.
With a prediction accuracy of over 99%, the technology addresses a significant industry challenge: converting vast and complex sensor data into timely, actionable insights.
The core AI algorithms and methodologies are protected as trade secrets. No formal patents have been filed yet, as the innovation lies in proprietary data processing and prediction techniques that are not publicly disclosed.
Although this UK company only develops software, it has a sister company which supplies sensors. They can work with other sensor suppliers as well to provide a full solution.
The UK company is seeking partners in Europe , USA, Canada, Australia and UAE, to help pilot and scale its AI-powered solution. Ideal collaborators include infrastructure owners or operators, public sector authorities, sensor and monitoring equipment providers, and civil or structural engineering firms with access to relevant assets or datasets. - Advantages and Innovations
-
World First: Only AI system that forecasts structural behaviour from real-world data (no models or assumptions).
High Accuracy: >99% accuracy in live deployments
10x Earlier Detection: Captures defects before physical symptoms are visible.
Root Cause Analysis: Identifies external drivers to degradation (e.g., temperature, river level, load).
Massive Savings: Reduces monitoring and maintenance costs by up to 65%.
Dynamic Alerts: AI flags anomalies and simulates future scenarios. - Technical Specification or Expertise Sought
-
• Asset owners or operators of infrastructure (e.g. bridges, tunnels, roads, power plants) with access to Structural Health Monitoring (SHM) systems or data.
• Public authorities or smart city projects open to piloting new monitoring solutions.
• Sensor or monitoring equipment providers who wish to enhance their offering with predictive analytics via API.
• Civil or structural engineering firms interested in offering AI-driven maintenance services.
Partners should ideally have access to live or historic sensor data (displacement, strain, temperature, etc.). - Stage of Development
- Already on the market
- Sustainable Development Goals
- Goal 9: Industry, Innovation and Infrastructure
- IPR status
- Secret know-how
Partner Sought
- Expected Role of a Partner
-
• Deploy the AI system in infrastructure maintenance or assets management
• Share anonymised SHM datasets for joint pilot project.
• Localise platform for regional needs (language, data regulation, standards).
• Co-create use cases or integrations with local construction/monitoring solutions.
• Prefer to working with a partner that can take care of marketing and promotion, but both parties can also work on marketing together.
• Provide feedback and support long-term cooperation in local/regional rollout. - Type and Size of Partner
- Big company
- SME 11-49
- Other
- SME 50 - 249
- Type of partnership
- Commercial agreement
- Investment agreement
- Supplier agreement
- Outsourcing agreement
Dissemination
- Technology keywords
- 10002010 - Remote sensing technology
- 10001002 - Assessment of Environmental Risk and Impact
- 02006005 - Construction maintenance and monitoring methods & equipment
- 09003 - Electronic measurement systems
- Market keywords
- 02007016 - Artificial intelligence related software
- 08002002 - Industrial measurement and sensing equipment
- 09007004 - Engineering and consulting services related to construction
- 09007005 - Facility management companies
- Sector Groups Involved
- Construction
- Digital
- Renewable Energy
- Targeted countries
- All countries