Airship AI Holdings Inc 2026年季度报告

Airship AI Holdings, Inc. Securities registered pursuant to Section 12(b) of the Act: Indicate by check mark whether the registrant (1) has filed all reports required to be filed by Section 13 or 15(d) of the SecuritiesExchange Act of 1934 during the preceding 12 months (or for such shorter period that the registrant was required to file such reports), Indicate by check mark whether the registrant has submitted electronically every Interactive Data File required to be submittedpursuant to Rule 405 of Regulation S-T (§232.405 of this chapter) during the preceding 12 months (or for such shorter period that the Indicate by check mark whether the registrant is a large accelerated filer, an accelerated filer, a non-accelerated filer, a smallerreporting company, or an emerging growth company. See the definitions of “large accelerated filer,” “accelerated filer,” “smaller If an emerging growth company, indicate by check mark if the registrant has elected not to use the extended transition period forcomplying with any new or revised financial accounting standards provided pursuant to Section 13(a) of the Exchange Act.☐ Indicate by check mark whether the registrant is a shell company (as defined in Rule 12b-2 of the Exchange Act). Yes☐ As ofMay 8, 2026, there were a total of 34,439,562 shares of the registrant’s common stock issued and outstanding. PART I AIRSHIP AI HOLDINGS, INC.CONDENSED CONSOLIDATED BALANCE SHEETSAs of March 31, 2026 and December 31, 2025 LIABILITIES AND STOCKHOLDERS' DEFICIT CURRENT LIABILITIES:Accounts payable - trade$1,208,951$1,149,811 Operating lease liability, net of current portion308,396425,109Warrant liability11,828,60413,328,006 The accompanying notes are an integral part of these condensed consolidated financial statements. AIRSHIP AI HOLDINGS, INC.NOTES TO CONDENSED CONSOLIDATED FINANCIAL STATEMENTS 1. Organization Airship AI Holdings, Inc. (the “Company” or “Airship”) is a holding company incorporated in Delaware that executes businessthrough its wholly owned subsidiary, Airship AI, Inc. (“Airship AI”). Prior to the formation of Super Simple AI, Inc. in 2022, theCompany operated as Airship AI, Inc. (formerly known as JDL Digital Systems, Inc.). On March7, 2023, Super Simple AI, Inc.changed its name to Airship AI Holdings, Inc. Super Simple AI, Inc. was formed in January2022 through a share exchange with JDL On December 21, 2023, the Company completed the merger (the “Merger”) contemplated by the merger agreement (the “MergerAgreement”) 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, AirshipAI became a wholly-owned subsidiary of the Company. In connection with the Merger, Airship AI changed its name from “Airship AI 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 quarterlywith 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 11– Earnout liability Other income related to instruments recorded at fair value during the three months ended March 31,2026 and 2025 $773,215$ 25,344,788 Business The Company is a robust AI-driven data management platform that solves complex data challenges for large institutions operating indynamic and mission-critical environments with rapidly increasing volumes of data being ingested from a similarly rapidly growing The Company solves these challenges by structuring “dark” or unstructured data at the edge, the location at which the data is generatedand 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 Structuring and then analyzing data using AI models at the edge, versus transmitting the data from the edge back to a centralprocessing 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 enforcementagencies around the world, including surveillance cameras (video), audio, telemetry, acoustic, seismic, and autonomous devices, along Table of Contents Data generated by these edge-based sensors, including video, can then be run through the Company’s trained AI models to detectobjects present within the video frame. Once an object is detected, for example an automobile, additional identifying characteristics ofthe object can be extracted from the image including the