Datacube Inc.
Open-knowledge reference entry
Datacube Inc. was an American computer company active from 1978 to 2005. The company focused on products for image processing, developing real-time hardware and software products for the industrial, medical, military and scientific markets. Datacube's MaxVideo line of image processors enjoyed a high market share in the image processing field owing to its modularity. The company was also responsible for a number of industry firsts, including the first single-board frame grabber and the first real-time image convolver.
Early history
Datacube was founded as Datacube SMK, Inc., in 1978 by Stanley Michael Karandanis (1934–2007) and J. Stewart Dunn (1941–2020). Dunn and Karandanis headquartered Datacube SMK in Danvers, Massachusetts; it shares its name with an earlier company founded in 1969 by Karandanis, called Datacube Corporation. That company's only product was a precision, miniature (1.6-cubic inch) power supply for integrated circuits. The Datacube Corporation was founded in Billerica, Massachusetts, but later moved to Salem, New Hampshire. Initially, Datacube SMK manufactured board-level products for the Multibus, one of the first computer buses developed for microprocessors.
Begin with the source’s own compact description: “Datacube Inc.” is open-knowledge reference entry. The dossier treats that line as a proposition to test through Datacube, Open-knowledge and entry, not as a finished interpretation.
Why this record matters
The phrase “open-knowledge reference entry” supplies a clear boundary for inquiry. It also exposes the unanswered questions: who defined that boundary, when it became stable and which sources sit outside it.
Named sources, stable identifiers and responsible institutions provide the strongest route from overview to verifiable evidence. The source revision retrieved here is dated Sep 16, 2026. The linked authority identifier is Q5227434. None of the 0 selected statements returned an explicit reference. The first chronological checks are 1978, 2005, 1934 and 2007.
The absence of detail may reflect summary conventions rather than a lack of surviving documentation. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.
How to read it
Use the entry as an orientation point, then follow its citations and revision history. Names, dates and institutional relationships should be checked against the original record.
- Subject orientation
- Search vocabulary
- Locating named sources
The closest primary source, responsible institution and strongest cited specialist reference.
Three-step research path
- Establish the record: confirm the title “Datacube Inc.”, its source revision and the description used here.
- Expand the search: follow Datacube Inc. primary sources, Datacube Inc. archive and Datacube research across catalogues and specialist indexes.
- Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.
Questions for further research
- Which source most directly establishes the central claim about “Datacube Inc.”?
- What terminology or title could unlock a more precise catalogue search?
- Which cited source is closest to the event, object or claim?
Search terms from this dossier
This entry incorporates text from “Datacube Inc.” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.