Helping design and engineering professionals discover, evaluate and specify technologies and processes that shorten the design cycle and enable success.
February 21, 2019 · The series now includes 36- and 42-in. models, completing the range of scanning solutions for Contex’s newest line of premium scanners.
February 21, 2019 · One of the picks will be chosen as DE’s Editor’s Pick of the Week.
July 17, 2017 · Company says scanner enables capture of fragile documents, textiles, oversized books, artwork and originals of unlimited thickness.
July 13, 2017 · One of the picks will be chosen as DE’s Editor’s Pick of the Week.
May 30, 2017 · The scanner can scan technical documents up to 36-inches wide and with unlimited length, the company report.
March 1, 2016 · Mobility and cloud computing have augmented the next generation of offerings.
January 13, 2016 · New research from CONTEXT shows the 3D printer market grew 35% in the first part of 2015, led by desktop units.
January 8, 2016 · This now brings the total number of systems supported by Nextimage over 60.
December 23, 2015 · 3D metal printing is leading the 3D printing market in terms of growth, according to research from CONTEXT.
April 3, 2015 · The device can scan a variety of CAD and engineering documents and has cloud connectivity.
February 6, 2015 · The system has cloud connectivity for direct file transfer to Google Drive, Microsoft OnDrive and others.
December 12, 2014 · The offer is applicable to the HD iFLEX, HD Ultra 4290 and ScanStation systems.
November 6, 2014 · The device is equipped to improve workflow efficiency by up to 30%, the company states.
September 1, 2014 · The latest wide-format printers and scanners for design engineering.
May 2026 Special Focus: Artificial Intelligence in Design and Simulation
In this Special Focus Issue, learn about the latest developments in the integration of artificial intelligence into engineering workflows.
Cut Retrieval-Augmented Generation (RAG) Hallucinations by 50%
Most teams hit the same wall with enterprise AI: LLMs that hallucinate, pipelines that don’t scale, and infrastructure that’s harder to design than the models themselves.
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