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CUSTOMER STORIES
Ensure your parts are production-ready by simulating real-world manufacturing conditions and comparing against industry benchmarks.
Using 3D Spark's Manufacturability Assurance & Technology Benchmarking tool is straightforward. Start by uploading your 3D design file to the platform. The tool will instantly assess your part's manufacturability based on the production technology selected, material, etc. and compare it against industry standards. Based on the analysis, you'll receive actionable insights on potential improvements, alternative production methods, and technology recommendations.
This ensures your design is optimized for cost-efficiency, quality, and manufacturability, helping you make data-driven decisions early in the design process.
Manufacturability Assurance
Determine if designs are viable for manufacturing based on the technology selected, addressing key issues to avoid common manufacturing pitfalls.
Strategic Technology Selection
Compare manufacturing technologies to find the most suitable method for your project, based on efficiency, cost, and sustainability.
Cost & Time Savings
By ensuring designs are manufacturable and selecting the best manufacturing process early, save on costs and reduce time-to-market.
Sustainability Advantages
Make production choices informed by CO2 emissions estimates for each part and production option
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Experience the power of 3D Spark! Upload your part model now and receive a comprehensive report for FREE.
Gain valuable insights on cost estimates, printability, material analysis, and more. Simplify your manufacturing journey with just a few clicks!
Get insights directly from our customers on how 3D Spark's platform benefited their businesses
Customer- Metshape
The Problem -
High time and effort required by sales team to analyze 3D CADs and 2D drawings from daily Requests for Quotations (RFQs) regarding technical feasibility and precise, instant costing.
Customer- DB
The Problem-
There were challenges in feasibility testing and (pre-)calculation processes, including the need for higher accuracy, improved stability, ease, and speed. They also experienced issues with reliance on fragile Excel sheets, which hindered their ability to provide timely and reliable offers.
Customer- Alstom
The Problem-
Alstom faced challenges including high parts purchase prices, time-consuming RFQ processes, limited adoption rate of AM, and the need for cost, lead time and CO2e savings, accounting.
