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optim.aize

optim.aize offers YAAPS, a sovereign, open-source platform that unifies IoT sensors, satellite imagery, drone surveys, and business software data onto a single georeferenced map with 2D/3D digital twins. The platform applies AI and geospatial analytics to detect anomalies, assess climate risks, and support predictive maintenance for critical infrastructure. It supports deployment in managed SaaS, on-premise, or French sovereign cloud environments, with use cases spanning airports, ports, mines, energy sites, and transportation networks.

Traction 3/10
Bordeaux, France · HQ
Founded 20217700+ followers
  • Internet of Things
  • Data & Analytics
  • Artificial Intelligence
  • Software Only
  • Drones & Uncrewed Systems
  • Biotechnology
  • Clean Technology
  • Digital Health
  • Drug Discovery & Therapeutics
  • Energy
  • Enterprise Software
  • Financial Technology
  • Hardware
  • Healthcare Technology
  • Industrial Automation
  • Insurance Technology
  • Logistics & Supply Chain
  • Medical Devices
  • Space Technology
Updated 7 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

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. Specific users include operations directors, maintenance teams, HSE and security departments, and IT/security officers at airports, ports, mines, energy facilities, and sensitive industrial sites.

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
  • Integration with private 5G networks and RTK positioning for centimeter-level accuracy in critical environments
  • Data acquisition services including aerial, underwater, and sub-quay drones, satellite InSAR, LiDAR, photogrammetry, and thermography
  • Open API connectors to GMAO, ERP, MES systems and support for public data sources (IGN, BRGM, Météo-France)
This profile is AI-generated and may contain inaccuracies.