AI-assisted structural diagnostics for low-carbon renovation and energy-ready infrastructure
STRUCMEDICA offers expertise in AI-assisted, non-invasive structural diagnostics for existing concrete buildings and infrastructure. Our work combines non-destructive testing, structural assessment, data analysis and engineering interpretation to help asset owners and project partners make faster, clearer decisions before low-carbon renovation, energy upgrades, photovoltaic integration, adaptive reuse or maintenance planning.
In EUROGIA2030 projects, STRUCMEDICA can contribute a structural condition and risk-assessment layer to smart city, smarter housing, construction, energy-transition and asset management initiatives. Our expertise can help evaluate whether existing assets are suitable for renovation or energy-related transformation, identify structural risks earlier, reduce reliance on invasive investigations, and support decision-making on reinforcement, maintenance or further investigation needs.
We are particularly interested in collaborating on projects involving low-carbon renovation, energy-ready buildings, smart cities, digital twins, AI, sensors, infrastructure resilience, predictive maintenance and sustainable construction. STRUCMEDICA can contribute as a French SME technical partner, supporting pilots, validation cases, data-driven assessment workflows and decision-support reporting for real building or infrastructure assets.
- G4 Zero carbon building
- G7 Smart sensors
- K1 IoT
- K2 Artificial Intelligence
- K3 Data storage
Contact
Company: STRUCMEDICA
Type of Organisation: SME
Country: France
Web: https://www.strucmedica.com/
Telephone: +33758437584
Brief description of my Organisation
STRUCMEDICA is a civil engineering deeptech startup developing AI-assisted, non-invasive structural diagnostic solutions for existing concrete buildings and infrastructure. We help cities, asset owners, engineering firms and energy-transition actors assess structural condition, renovation readiness, risks and maintenance priorities before renovation, adaptive reuse, PV integration or infrastructure transformation.
