Zeitview provides an AI‑driven computer‑vision platform that processes multi‑modal drone data—RGB, thermal, and LiDAR—to automatically generate high‑resolution imagery, 3D digital twins, component inventories, and defect risk scores. The cloud‑based analytics portal delivers interactive dashboards, exportable reports, and API integration for maintenance planning, budgeting, and asset transactions across wind, solar, telecom, utility, and commercial real‑estate portfolios.
Funding
Funding not disclosed
Founders
Product
Problem
Asset owners and operators of critical infrastructure lack a unified, visual-first system to capture, analyze, and manage detailed condition data across the entire asset lifecycle, leading to reactive maintenance, inventory inaccuracies, and elevated risk.
Solution
Zeitview delivers a vision-first asset intelligence platform that combines AI‑driven computer‑vision algorithms with multi‑modal drone data collection to generate high‑resolution inspection imagery, LiDAR point clouds, and orthomosaics. The platform automatically extracts component inventories, detects defects, and assigns risk scores, providing actionable insights for pre‑construction planning, construction monitoring, operations & maintenance, and asset transactions. Users can upload existing inspection images for retroactive analysis or request fresh data capture, with results delivered through a cloud‑based analytics dashboard and exportable reports. Integrated 3D digital twins and precise measurement tools enable field crews to locate issues and plan interventions efficiently. The solution supports a wide range of asset types—including wind turbines, solar farms, telecom towers, utility networks, and commercial properties—through configurable workflows that align with industry standards.
Target Audience
Primary customers are owners and operators of wind, solar, telecom, utility, and commercial real‑estate assets, as well as construction firms and property managers that require end‑to‑end visual intelligence for asset lifecycle management.
Features
- AI-powered computer‑vision pipelines for automated defect detection, component classification, and severity scoring on RGB, thermal, and LiDAR data
- Multi‑modal data acquisition delivering millimeter‑accurate LiDAR, high‑resolution orthomosaics, and topographic models within days of flight
- Dynamic inventory database that tags each asset and sub‑component, supporting bulk queries and change tracking over time
- Risk analytics engine that combines condition scores with environmental factors to prioritize maintenance and budgeting decisions
- Interactive 3D digital twins with precise measurements for on‑site verification and remote troubleshooting
- Cloud analytics portal offering customizable dashboards, automated report generation, and API access for integration with CMMS or ERP systems
- Capability to process legacy inspection images, extending insight generation to existing datasets without additional field work