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 12– Fair Value Measurements for more information.

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. Non-real-time structured data use includes, for example, searching a database of video data that has been previously ingested and stored to find instances of a particular license plate being visible, along with other logged vehicle characteristics such as make, model and color of an automobile.

Additional edge deployed AI models enable similar object detection and recognition of common and custom trained objects, such as an aircraft, boat, person, animal, bag, or weapon. Airship AI’s models provide similar data points for these object types allowing analysts the ability to be notified in real-time of the detection of a specified object and similarly search for historically detected objects. Examples include detecting aircrafts and boats along with their respective tail numbers and hull registration numbers.

The Company’s AI modelling process starts with pre-trained AI models from its technology ecosystem partners which the Company then customizes using proprietary datasets tailored towards its customers’ unique workflow requirements. Where customers have pre-existing AI models or engines, the Company integrates those models or engines into its edge platform allowing customers to leverage proprietary models within the Airship AI software ecosystem.

The Company’s primary offerings include Outpost AI, Acropolis, and Airship Command. Its offerings allow customers to manage their data across the full data lifecycle, when and where they need it, using a highly secure permissioned based architecture.

The Company employed sixty-seven employees as of June 30, 2026. The employees are headquartered in Redmond, WA and are supported by a team at its Customer Center of Excellence located in Charlotte, NC. The Company employed nine research and development personnel in Taiwan as of June 30, 2026.