Capvidia provides True MBD (model-based definition).
21st-century problems need 21st-century solutions. Traditional drawing-based workflows weren't built for the era of the internet and Big Data.
Model-based workflows are.
It's time for 3D CAD models with semantic PMI (QIF or STEP AP242 file) that can be both human-readable & machine-readable--a single source of truth.
This empowers all downstream applications in design, manufacturing, quality, and other departments.
Capvidia provides MBD workflows in CAD translation and validation, a path to share interoperable data with various systems (CAD, CAM, CMM, etc.), and opportunities in model-based enterprise and digital transformation that affect the product line and bottom line.
Bottom-line impact from work hours reduced to faster time to market.
Faster iteration & insights produced by interconnected workflow.
Collecting valuable data to enable automation, AI, and Big Data.
Tomasz Luniewski is the Founder and President at Capvidia. He was over 40 years of experience in CAD and CAE software and simulation.
Tomasz founded Capvidia after it was spun off from a joint software development project with Intel. Capvidia initially focused on CAD, CFD simulation, image recognition, and consulting, before refining its core concept to MBD/MBE workflows in the 21st century.
Tomasz is also a board member of various IT companies and professional organizations across USA and Europe, and advises software engineering startups to international growth. He has consulted over 40 different companies.
Daniel Campbell is the VP of Model-Based Definition at Capvidia. He has more than 16 years of experience in the field of digital metrology, software design, and MBD.
He helps Fortune 500 companies and their suppliers with digital transformation projects through 3D CAD translation & validation. The goal begins with the MBD CAD model itself as the single source of truth for all downstream applications.
Daniel is currently the Chair of the ANSI Working Group, and a member of the Board of Directors of the Dimensional Metrology Standards Consortium (DMSC).
Victor Mikushin is the VP of Technology at Capvidia. He was over 27 years of experience in CAD development, over 100 projects successfully completed, and numerous authorship in the field of technical and software CAD development.
He leads a worldwide team of best-in-class engineers building in-depth CAD software tools for empowering digital enterprise and industries through MBD and MBE.
Mr. Mikusin is a thought leader in the technical/ software CAD industry with participation in PDES, PDF, and QIF maturation. He was a key developer in QIF which is one of the leading MBD file formats today.
Model-based approach saves up to 80% of hours spend in annotating, machine, and inspection. Delivered parts from eight months (drawing-based) to five weeks (model-based).
|Companies & Date:||
NIST, Honeywell Aerospace, Rockwell Collins, DMSC, and Capvidia. 2016.
81% reduction in CMM workflow from 16 hours traditional/manual to 3 hours MBD.
|Companies & Date:||
Raytheon and Capvidia. 2018
MBDVidia and MBDVidia for Creo
97% reduction in CMM program generation from 5 hours to 10 mins.
4x reduction in measurement uncertainty.
|Companies & Date:||
Lockheed Martin, Rolls-Royce, Siemens, PTC, Purdue University, TechAzul, Materials Data Management, MxD, and Capvidia. 2019.
MBDVidia and Pundit CMM
Software development project with Intel.
First standalone product in CAD translation.
CAD validation solution leading to Boeing D6-51991.
MBD solutions: QIF and STEP AP242.
MBD initiatives & projects expansion.
1700 Post Oak Blvd #600c, Houston, TX 77056, USA
Technologielaan 3, 3001 Leuven, Belgium
Phone: +32 16 40 27 47
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Capvidia focuses on true MBD workflows: 3D CAD translation & validation featuring MBD CAD with semantic PMI that is human & machine-readable for downstream use from design to manufacturing.
With one single source of truth, interoperable data is shared among different teams, partners, and personnel with their current systems (CAD, CAM, CMM, etc.) powering automation, AI, and Big Data insights.
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