SKYLLER creates digital twins of critical infrastructure using data from drones, robots, satellites, and IoT devices. Their platform visualizes this data to enable better decision-making for industries like oil and gas, power grids, and telecommunications, helping optimize revenue generation and operational tolerance.
Funding
Funding not disclosed
Founders
Product
Problem
Critical infrastructure industries such as oil and gas, power grids, telecommunications, and construction face challenges in efficiently monitoring and maintaining assets, leading to potential revenue loss and operational risks. Traditional inspection methods are often time-consuming, costly, and may expose personnel to hazardous environments. The lack of comprehensive data visualization and analysis tools hinders effective decision-making for sustainable asset management.
Solution
Skyller provides AI-powered autonomous asset inspection and monitoring solutions, leveraging data from drones, robots, satellites, and IoT devices to create digital twins of critical infrastructure. The Skyller Platform visualizes this data, offering 2D and 3D asset representations and AI-assisted defect detection. By integrating drone-based inspections with industry-specific AI models, Skyller enables damage detection with high accuracy and faster analysis compared to traditional methods. This approach enhances operational efficiency, reduces risk, and elevates asset management standards across various industries.
Target Audience
Skyller's primary customers include companies in the oil and gas, telecommunications, power grid, renewable energy, and construction industries responsible for asset inspection, monitoring, and management.
Features
- Data visualization with 2D and 3D asset representation
- AI-powered defect and anomaly detection, including flare crack and corrosion detection with severity level
- Automated report generation
- Customizable dashboards for users, projects, and integrity monitoring
- Anomaly management for issue tracking and analysis
- Drone registration, flight planning, training, and safety features via the Mandala Platform
- Road progress monitoring, cost control, and automated material tracking via the Nila Platform
- Autonomous navigation and real-time data transmission from robots and drones
- Multi-sensor integration with thermal, visual, and LiDAR sensors
- Remote monitoring and control capabilities