Anno.Ai develops AI-powered software that fuses disparate sensor data to establish ground truth for customers. Their ML-based Fusion product provides a comprehensive view of data, enabling more informed decision-making across various sectors. The company also offers online machine learning model evaluations and machine translation services to enhance data science capabilities.
Funding
Funding not disclosed
Founders
Product
Problem
The development and deployment of Unmanned Underwater Vehicles (UUVs) and Unmanned Surface Vehicles (USVs) are hindered by the lack of dedicated maritime test ranges for comprehensive testing and validation. These ranges are essential for ensuring the reliability, safety, and effectiveness of these technologies in realistic maritime environments.
Solution
Anno.Ai addresses this problem with the Lake Superior Test Range (LSTR), which provides testing and monitoring infrastructure to accelerate the Technical Readiness Level (TRL) of new autonomous UUV and USV platforms. The infrastructure includes surface, lakebed, and shore-based sensors to validate hardware and software performance under a range of conditions. Dedicated recovery resources are included in the test range, and shore-based laboratories, warehousing, and manufacturing facilities are available to facilitate rapid platform iteration. Anno.Ai provides the data, infrastructure, and technical expertise to help move autonomous maritime solutions from concept to mass manufacturing.
Target Audience
Anno.Ai serves both public and private sectors involved in the development and deployment of autonomous maritime platforms, including those focused on national security, search and rescue, and environmental monitoring.
Features
- Surface, lakebed, and shore-based sensor infrastructure for comprehensive data collection
- Dedicated recovery resources for UUV and USV retrieval in case of system loss events
- Shore-based laboratories, warehousing, and additive manufacturing facilities for rapid platform iteration
- Testing capabilities for UUVs, USVs, UGVs, UASs, and emergent platforms
- Support for adversarial autonomous red cell testing
- Data labeling software for sensor-based data