The startup develops customizable drone systems that provide aerial diagnostic services for utility asset inspection. These systems enable businesses to monitor hard-to-reach and high-risk areas, improving service maintenance and data collection efficiency.
Funding
$560K 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.
Founders
Product
Problem
Utility companies and other industries face challenges in efficiently and safely inspecting assets located in hard-to-reach or high-risk areas. Traditional inspection methods can be costly, time-consuming, and potentially dangerous for personnel. The need for frequent monitoring and data collection further exacerbates these issues.
Solution
Thrust provides customizable drone systems designed for high-productivity aerial inspection and data collection. Their UAV platforms are capable of long-range and low-altitude flights, operating at speeds from 30 to 260 km/h with payload capacity up to 8 kg. These systems can be equipped with various sensors, including photo, video, infrared (IR), LIDAR, multispectral, hyperspectral, pollution, and radiation sensors, to collect diverse geospatial data. Thrust offers both UAV systems and data analytics services, enabling businesses to optimize processes through automated data collection, AI-based object detection and recognition, and detailed reporting.
Target Audience
The primary customers are enterprises in railways, forestry, agriculture, cartography, energy, solar, and road industries that require efficient and safe aerial inspection and data collection of their assets.
Features
- Customizable drone systems for various industry-specific applications
- UAV platforms capable of long-range and low-altitude flights at speeds ranging from 30 to 260 km/h
- Payload capacity of up to 8 kg
- Integration with various sensor systems, including photo, video, infrared (IR), LIDAR, multispectral, hyperspectral, pollution, and radiation sensors
- Automated data collection for large-scale aerial inspections
- High-precision 3D measurements through analysis of LIDAR-generated point clouds
- AI-based algorithms for object detection and recognition
- Real-time object tracking for immediate decision-making
- Multispectral analysis for assessing plant health, evaluating soil productivity, and estimating yields