Flyzerk provides a drone‑as‑a‑service platform that delivers autonomous UAV inspections and real‑time edge AI analytics for industrial sites. Captured imagery, LiDAR and sensor data are encrypted, streamed to a cloud analytics suite, and accessed via APIs or a web portal for integration with SCADA, ERP, or GIS systems. The subscription model scales coverage without requiring customers to own or manage drone hardware.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial operators often require frequent, high‑resolution aerial inspections for site surveillance, construction progress, infrastructure health, and emergency response, but maintaining a dedicated drone fleet entails high capital costs, complex logistics, and delayed data processing that hampers timely decision‑making.
Solution
Flyzerk delivers a drone‑as‑a‑service platform that removes the need for in‑house UAV management. Fully autonomous drones execute AI‑driven mission plans, adapt to changing environmental conditions, and perform on‑board edge computing to extract insights in real time. Captured imagery, LiDAR, and sensor data are encrypted and streamed to a cloud-native analytics suite where predictive models flag anomalies, generate maintenance forecasts, and produce actionable dashboards. Enterprises access these insights through standard APIs and a web portal, allowing seamless integration with existing SCADA, ERP, or GIS systems while retaining full control over data sovereignty. The subscription model provides scalable coverage—from a single site to global deployments—without upfront hardware investment.
Target Audience
Primary customers are large‑scale industrial operators—energy and utilities firms, construction and engineering contractors, infrastructure owners, and emergency‑response agencies—that need continuous aerial intelligence without managing UAV fleets.
Features
- Rugged, all‑weather UAV airframe with redundant power and GPS‑denied navigation using adaptive visual‑inertial odometry.
- On‑board edge AI processor that runs real‑time object detection, change detection, and structural analysis without reliance on back‑haul connectivity.
- Autonomous mission planning engine that optimizes flight paths for coverage, battery life, and regulatory constraints.
- Predictive analytics pipeline in the cloud that applies machine‑learning models for anomaly detection, degradation forecasting, and compliance reporting.
- Military‑grade encryption and zero‑trust access controls ensuring end‑to‑end data security and sovereign operation within customer‑defined perimeters.
- Seamless integration via RESTful APIs and SDKs for ERP, GIS, and incident‑management platforms, supporting automated data ingestion and alert routing.
- Scalable subscription infrastructure that provisions additional drones and compute capacity on demand, with usage‑based billing tiers.