Kelluu utilizes autonomous airships to capture high-resolution aerial data, creating digital twins of environments for enhanced analysis and planning. This technology provides businesses and governments with accurate, real-time insights, enabling better decision-making and promoting sustainable practices.
Funding
$28.1M 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
Businesses and governments often lack comprehensive, up-to-date environmental data for informed decision-making, hindering effective planning and sustainable practices. Existing aerial monitoring methods can be expensive, environmentally impactful, and lack the necessary resolution or real-time capabilities.
Solution
Kelluu provides high-resolution digital twins of environments using autonomous airships to capture aerial data. This data-as-a-service model delivers detailed insights for enhanced analysis and planning without the need for clients to manage hardware, software, or regulatory permissions. The airships offer a more affordable, eco-friendly, and accurate alternative to traditional aerial monitoring methods, enabling better design, more efficient operations, and sustainable environments. AI-powered analysis of the aerial data provides real-time or future-oriented insights accessible through a standard web browser.
Target Audience
Kelluu's primary customers include businesses and governments involved in environmental monitoring, urban planning, infrastructure management, and resource management. Specific industries served include forestry, mining, construction, and renewable energy.
Features
- Autonomous airships for capturing high-resolution (1px/1cm) aerial imagery
- Multi-sensor data fusion combining RGB, multispectral, and thermal (FLIR) imagery
- AI-powered analytics for object detection, change detection, and predictive modeling
- 3D mesh generation for creating accurate digital twins of physical environments
- Data-as-a-service delivery model accessible through a web browser
- Integration with existing GIS and CAD software
- Net-zero emissions target for sustainable aerial monitoring