2D to 3D for MRO

From 2D Inputs to 3D Models

Upload any 2D inputs and instantly generate 3D Mesh files for technology benchmarking, costing and lead time analysis!
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Any 2D Input, One 3D Model Output
3D Spark 2d to 3d feature
From Date to Decision to Execution
The complete workflow from missing CAD files to manufacturing action.
Icons showing process from 2D input, 3D model, analyze, cost insights, make or buy, to store and reuse.

Autometed 2D to 3D Generation – Download One pager

Learn how engineering and sourcing teams use 3D Spark's 2D to 3D model generation feature to scale effeciency.

Decorative
Built for MRO-Heavy Industries
One system, one decision
2d to 3d feature use cases
Part Obsolescense is growing
Supplier dependency is risky
Downtime is expensive
AM is underused
Compare 15+ Manufacturing Technologies in seconds
Real data, real options, real decisions.
Table comparing manufacturing tech by cost, lead time, MOQ, feasibility, CO2 with highlighted Additive Manufacturing row.
Make or Buy Instantly
One system, one decision
Make or Buy support using 3D Spark
Build your Digital Spare Parts Warehouse
Capture manufacturing knowledge, compare technologies and reuse validated decisions.
Digital warehouse using 3D Spark
What is it?

Case studies

3D Spark's manufacturing data analysis platform

Get insights directly from our customers on how 3D Spark's platform benefited their businesses

Sales

Metshape X 3D Spark

Engineering

DB X 3D Spark

Procurement

Alstom X 3D Spark

Case study 1

Sales

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.

Implementation:
Output
3 times less tools
needed for quoting
Output
90% reduced quoting
time
OUTPUT
100% Reduced effort
for answering
unsuitable RFQs

Case study 2

Engineering

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.

Implementation:
Output
Achieved an accuracy
of +-5%

Case study 3

Procurement

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.

Implementation:
Output
Parts purchase
prices reduced by
more than 20%
OUTPUT
86% less RFQs needed
Output
On-demand in-house
AM consultancy
for expertise growth
OUTPUT
Live AM roll-out
KPIs: global cost
& leadtime savings