Business Description

1. Organization Airship AI Holdings, Inc. (the “Company” or “Airship”) is a holding company incorporated in Delaware that executes business through its wholly owned subsidiary, Airship AI, Inc. (“Airship AI”). Prior to the formation of Super Simple AI, Inc. in 2022, the Company operated as Airship AI, Inc. (formerly known as JDL Digital Systems, Inc.). On March 7, 2023, Super Simple AI, Inc. changed its name to Airship AI Holdings, Inc. Super Simple AI, Inc. was formed in January 2022 through a share exchange with JDL Digital Systems, Inc. JDL Digital Systems, Inc. was incorporated under the laws of the State of Washington on June 30, 2003. On December 21, 2023, the Company completed the merger (the “Merger”) contemplated by the merger agreement (the “Merger Agreement”) dated as of June 27, 2023 and amended on September 22, 2023, by and among BYTE Acquisition Corp. (“BYTS”), BYTE Merger Sub, Inc., a Washington corporation and a direct, wholly-owned subsidiary of BYTS (“Merger Sub”), and Airship AI. Effective December 21, 2023, Merger Sub merged with and into Airship AI with Airship AI as the surviving corporation. Thus, Airship AI became a wholly-owned subsidiary of the Company. In connection with the Merger, Airship AI changed its name from “Airship AI Holdings, Inc.” to “Airship AI, Inc.” Fair Value Transactions in Connection with Merger As a result of the Merger, the Company entered into the following transactions that were measured at fair value and vary quarterly with the share price and other items. Any change is non-cash and is recorded as a gain or loss in other income (expense). See Note 13– Fair Value Measurements for more information. Liability as of Liability as of December 31, 2025 December 31, 2024 Earnout liability $ 2,620,933 $ 23,304,808 Warrant liability (Public Warrants) 12,916,006 33,124,868 Warrant liability (Private Warrants) 412,000 1,055,750 Total liabilities measured at fair value $ 15,948,939 $ 57,485,426 Other income (expense) related to instruments recorded at fair value during the years ended December 31, 2025 and 2024 $ 36,254,363 $ (51,825,649 ) Business The Company is a robust AI-driven data management platform that solves complex data challenges for large institutions operating in dynamic and mission-critical environments with rapidly increasing volumes of data being ingested from a similarly rapidly growing number of data sources. The Company solves these challenges by structuring “dark” or unstructured data at the edge, the location at which the data is generated and collected, and leveraging purpose-built AI models. Unstructured, or “dark” data, which is typically categorized as qualitative data, cannot be processed and analyzed via conventional data tools and methods. Conversely, structured data, typically categorized as quantitative data, is highly organized and easily decipherable by machine learning algorithms. Structuring and then analyzing data using AI models at the edge, versus transmitting the data from the edge back to a central processing location for structuring and analysis, enables real-time decision making and data-driven operational efficiency. The Company specializes in ingesting all available metadata from edge-based sensors used by government and law enforcement agencies around the world, including surveillance cameras (video), audio, telemetry, acoustic, seismic, and autonomous devices, along with large commercial corporations with fundamentally similar capabilities and requirements. Data generated by these edge-based sensors, including video, can then be run through the Company’s trained AI models to detect objects present within the video frame. Once an object is detected, for example an automobile, additional identifying characteristics of the object can be extracted from the image including the license plate characters and the make, model, and color of the automobile. This process of analyzing, logging and categorizing ingested data is referred to as “structuring” the data. Airship AI’s software allows customers to view structured data both in real-time as well as to conduct searches on the structured data at a later point in time. Real-time structured data use includes, for example, alarms on a specific license plate or a specific make, model or color of automobile.…