Yaaps is a sovereign, open-source platform that unifies and contextualizes industrial infrastructure data into interactive 2D/3D maps and digital twins. It aggregates IoT sensors, satellite imagery, GNSS, and business databases to enable real-time monitoring, predictive maintenance, and decision support. The platform is deployed across industry, energy, transport, and territory management sectors, with options for SaaS, on-premise, or hybrid hosting.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial infrastructure operators face fragmented data from satellites, IoT sensors, field inspections, maintenance histories, and weather sources, making it difficult to understand and monitor assets in a unified context. Climate change and aging assets increase the complexity and urgency of making timely, informed decisions, while existing tools lack a sovereign, interoperable platform to centralize and contextualize this information.
Solution
Yaaps is a sovereign, open-source platform that unifies, contextualizes, and triggers the right decision at the right time for infrastructure monitoring and management. It aggregates diverse data sources—including IoT sensors, SCADA, satellite imagery, GNSS RTK, and business databases—into a single, georeferenced architecture with interactive 2D/3D maps and digital twins. The platform applies AI, data science, and GIS to detect anomalies, assess geo-climatic risks, and support predictive maintenance. Users can visualize assets in four dimensions (x, y, z, time), access dynamic dashboards, and generate intervention orders, all while maintaining full data sovereignty through flexible deployment options.
Target Audience
Primary customers are operators and managers in the industry, energy, transport, and territory/infrastructure sectors, as well as assurtech companies, who need to monitor, maintain, and adapt buildings, networks, and assets in a changing climate.
Features
- Custom database layer that aggregates, structures, and contextualizes data from IoT, SCADA, GMAO, ERP, MES, and geospatial sources
- 3D digital twin representation integrating real-time sensor signals to faithfully mirror physical infrastructure
- Intelligent 2D mapping with indoor/outdoor site views, Geo BI, and dynamic georeferenced context
- AI and analytics engine for anomaly detection, geo/climatic risk assessment, and predictive maintenance
- Temporal rollback functionality for audit, post-incident analysis, and compliance
- Offline-capable field mobility tools and multi-user administrative management
- Sovereign deployment options: managed SaaS, on-premise/hybrid in customer datacenter, or French sovereign cloud