Anno.Ai

Anno.Ai's core business revolves around providing advanced software that enables clients to process and analyze complex data from multiple sources. The firm's platform, known as Anno Fusion, is engineered to establish a clear ground truth by correlating disparate data types from various sensor modalities. This capability is crucial for clients in sectors such as national security, law enforcement, and supply chain management, where making sense of vast amounts of information is a primary challenge. The company's technology facilitates the quick, self-service curation of high-quality training data, which is essential for improving the precision of machine learning models. This allows domain experts within an organization to annotate data directly, enhancing the operational effectiveness of AI systems.

The company's revenue model is primarily driven by securing federal contracts, many of which are under the Small Business Innovation Research (SBIR) program with agencies like the Department of the Air Force. These contracts range from research and development to the implementation of prototypes for intelligence analysis automation, media data processing, and flight training optimization. In addition to prime contracts, Anno.Ai also functions as a subcontractor, providing software and technical services. The company has successfully raised $23.5 million in funding over four rounds, including a $10 million Series A in June 2021, from institutional investors such as Gula Tech Adventures, Scout Ventures, PJC, and Ardent Venture Partners.

A notable offering is the company's support for the Lake Superior Test Range (LSTR), an infrastructure designed to test and operationalize autonomous maritime platforms like Unmanned Underwater Vehicles (UUVs) and Unmanned Surface Vehicles (USVs). This facility provides a realistic environment for validating the hardware and software of these systems, addressing a critical need for dedicated maritime test ranges for both public and private sector clients looking to accelerate the readiness of their autonomous technologies.