DeepMatrix offers a cloud‑native AI layer that fuses geospatial, sensor, and enterprise data—such as LiDAR, imagery, ERP, and CMMS—into a unified, context‑aware intelligence engine. The platform delivers real‑time analytics, risk scores, and automated work‑order creation for infrastructure operators, enabling predictive maintenance, hazard detection, and compliance reporting across assets like transit corridors, telecom towers, and transmission lines.
Funding
$19.1K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1OYVFounders
Product
Problem
Critical infrastructure operators and urban planners struggle with fragmented geospatial, sensor, and enterprise data that reside in separate systems, making real-time monitoring, risk assessment, and automated decision‑making difficult and error‑prone.
Solution
DeepMatrix provides a cloud‑native AI layer that fuses massive volumes of spatial, sensor, and enterprise data into a unified, context‑aware intelligence engine. The platform ingests LiDAR, imagery, thermal, ERP, CMMS, and other data sources, enriches each input with geographic context, ranks signals by urgency, and delivers real‑time insights across assets such as transit corridors, telecom towers, transmission lines, and land parcels. These insights are distributed automatically to dashboards, field teams, or backend systems, enabling predictive maintenance, hazard detection, compliance reporting, and accelerated planning without disrupting existing workflows.
Target Audience
Primary customers are infrastructure operators and agencies in transit, telecom, transmission, and urban land management sectors that need to consolidate geospatial and enterprise data for real‑time operational intelligence.
Features
- Multi‑modal data ingestion pipeline supporting point clouds, RGB, thermal, video, and traditional GIS layers
- AI‑driven fusion engine that adds geo‑context, ranks urgency, and generates risk scores for assets and corridors
- Real‑time analytics and alerts delivered to dashboards, CMMS, ERP, or custom APIs at operational speed
- Automated work‑order creation and prioritization based on predictive fault detection and compliance rules
- 3D mesh generation and elevation‑aware analysis for precise clearance, zoning, and asset condition assessment
- Seamless integration with legacy systems (SAP, Maximo, Oracle Utilities, other ERP/CMMS) via cloud‑native connectors
- Scalable architecture that expands from single sites to grid‑scale deployments across multiple industries