SAGIO delivers customized AI solutions that blend advanced machine‑learning techniques with proven engineering practices to tackle complex, domain‑specific challenges.
Funding
Funding not disclosed
Founders
Product
Problem
Collecting and analyzing hyperspectral imagery from UAVs typically requires bulky ground stations and high-bandwidth links, which limits real‑time decision making in the field. Additionally, conventional remote controllers can be impractical in confined or hazardous environments, reducing operational flexibility.
Solution
SAGIO delivers a modular hyperspectral UAV platform that processes more than 10 Gbit/s of sensor data onboard, enabling instant object detection and classification at the edge. The system supports interchangeable airframes and a smart gimbal with sensor synchronization for precise targeting and adaptive exposure. Processed data can be streamed directly into existing networks for seamless integration with downstream analytics. Complementing the UAV, SAGIO offers a visual interaction module that translates natural gestures into flight commands, eliminating the need for traditional remote links and expanding usability in challenging settings.
Target Audience
Primary customers include defense and security agencies, environmental and agricultural monitoring organizations, and research institutions that require rapid, on‑site hyperspectral analysis, as well as operators needing hands‑free UAV control in constrained or hazardous environments.
Features
- Onboard AI engine capable of real‑time processing of 10+ Gbit/s hyperspectral sensor streams
- Scalable modular airframe options ranging from small UAVs to larger platforms
- Smart gimbal with automatic aiming, auto‑capture, and adaptive exposure control
- Integrated streaming and network interfaces for direct data feed into existing infrastructure
- Gesture‑based visual interaction module that converts user movements into precise flight commands without a datalink
- Real‑time sensor fusion and cooperative teaming capabilities to enhance detection, tracking, and classification across multiple UAVs