MDDV Version 11 - the leading S1000D IETM, is Released

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The best S1000D IETM - got even better. MDDV version 11 includes full support for 3D illustrations - all in zero-footprint!

American Data Solutions, developers of Multipurpose Digital Data Viewer (MDDV), widely considered as the market leading IETM is proud to announce the release of MDDV version 11.

MDDV 11 includes numerous improvements over the previous version; the major new feature of MDDV 11 is full support for dynamic 3D illustrations – all at zero-footprint!

“We are extremely proud of MDDV 11 and its full support for dynamic 3D illustrations, at true zero-footprint” said Ran Meriaz, founder and CEO of American Data Solutions. “MDDV is the fastest and the most responsive IETM in the market, with the best support for S1000D. Now that we have taken this already excellent product and enhanced it with fully functional and dynamic 3D illustrations, MDDV 11 is continuing to lead the way for IETMs.”

MDDV is a complete, modular IETM. MDDV can be provided on the internet/cloud/GovCloud, over secure networks, and on standalone laptops/tablets. MDDV is built to support future growth and additional capabilities including integration with external data systems, integration with aircraft systems, automatically provide usage information, and support the latest IT technologies.

Independent research states that use of MDDV for aircraft maintenance saves between 20% and 30% on all maintenance actions (!)

Any page is a second away™
In MDDV 11, any dynamic 3-D illustration, page, module, or link opens in a second. The size of the data and the number of links do not affect the performance - even very large data sets are this responsive. If you find it hard to believe - ask for a demo.

About American Data Solutions (ADS)

ADS is a dedicated group of ex-military and technical publication experts, coupled with amazing software developers. ADS develops drastically innovative solutions for the military and aerospace (in the fields of technical data, maintenance, logistics, training, and scheduling), making use of AI, machine learning and neural networking.

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Ran Meriaz
@ranmeriaz
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