AISPW — what changed in the latest 10-Q
A section-by-section comparison of AISPW's newest periodic SEC filing (10-K/10-Q) against the prior same-form filing: paragraphs added and removed per section, with verbatim excerpts. Purely a deterministic text diff — no similarity scores, no directional read, not investment advice.
Comparing 10-Q · 2026-08-06 vs the prior 10-Q · 2026-05-08
| Section | Outcome | Added | Removed | Minor | Unchanged |
|---|---|---|---|---|---|
| MD&A | Text added/removed | +37 | −38 | ~5 | 5 |
| Controls & procedures | Text added/removed | 0 | 0 | ~2 | 1 |
| Legal proceedings | Text added/removed | 0 | 0 | ~1 | 0 |
| Risk factors | No paragraph-level changes | 0 | 0 | 0 | 1 |
Counts are paragraphs; added/removed means text added or removed vs the prior filing — no direction or judgement implied.
Not shown (absent or not faithfully extractable): Market risk (Item 3), Other information
Representative excerpts
Up to 5 excerpts of about 300 characters per section, quoted verbatim from the two SEC filings.
MD&A
Text added vs the prior filing · source: 10-Q · 2026-08-06
Separately, our total validated pipeline as of August 6, 2026 was $206.1 million, consisting of single and multi-year opportunities for AI-driven edge, video, and sensor and data management platform across our customer verticals. Our pipeline includes opportunities at varying stages of progression w…
A substantial majority of our revenue is derived from U.S. federal law enforcement and homeland security customers. During 2025, uncertainty surrounding federal budget priorities and the pace of government spending, including federal initiatives to reform government processes and reduce expenditures…
We are pursuing a deliberate expansion of our commercial business to complement our established federal law enforcement and homeland security customer base. While a substantial majority of our revenue is currently derived from government customers, we believe our edge AI and data management platform…
We are developing Ask Airship, an agentic AI capability designed to allow users to query, analyze and act on structured data across our platform using natural language, which we intend to offer as a standalone product complementary to our Outpost AI, Acropolis, Airship Command and Fortress Server of…
We are extending our edge AI and data management platform to ingest, structure and act on data from autonomous and robotic sensor platforms, with a particular focus on commercial customers as well as government customers, consistent with our broader commercial expansion. We are evaluating commercial…
Text removed vs the prior filing · source: 10-Q · 2026-05-08
Our total validated pipeline as of March 31, 2026 was $165.3 million, consisting of single and multi-year opportunities for AI-driven edge, video, and sensor and data management platform across our customer verticals. Our pipeline includes opportunities at varying stages of progression with expected…
We are 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.
We solve 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 …
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.
We specialize 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…
How to read Risk Factors (Item 1A) in a 10-Q
A 10-Q risk-factor section usually takes one of three forms; this page classifies it as one of:
- Pointer — the filer states there have been no material changes and points back to the annual 10-K risk factors; there is no own risk text to compare this quarter.
- Partial update — the filer carves out specific updated risks ("except as set forth below"); the excerpts show exactly what is new this quarter.
- Restated in full — the quarter carries the complete risk-factor text. When the prior quarter was only a pointer there is no prior full text to diff against, so the page flags the section as restated instead.
This describes the filing structure only — it is never a judgement on whether risk went up or down.
Source: text-level diff of the two SEC EDGAR filings · deterministic (no AI-generated content) · for reference only · not investment advice