
Make geometry usable as data.
Extract geometric information for manufacturing analysis and machine-learning workflows. Combine that signal with your own cost and process data to train and evaluate prediction models.
Geometric Intelligence / On-demand manufacturing
Shape analysis and similarity search for manufacturing platforms.
Discuss your use case
01 / The application
A new RFQ brings a familiar challenge: find comparable work, understand the geometry and build a defensible quote. Part names alone rarely tell the whole story.
Metafold turns geometry into features and shape representations that your team can combine with manufacturing history, material, process and supplier data. Build the quoting logic around your own experience.

Extract geometric information for manufacturing analysis and machine-learning workflows. Combine that signal with your own cost and process data to train and evaluate prediction models.

Retrieve similar shapes from a part collection, then compare manufacturing context. Historical costs become useful when material, process, quantities and requirements are considered alongside geometry.
02 / A focused evaluation
Choose a representative set of parts and completed quotes. Compare retrieval quality, feature coverage and prediction error against your current approach, with held-out examples for an honest evaluation.
Use shape similarity to surface candidates for engineering review.
Combine geometry with the costs, processes and business rules that define your operation.
Use APIs and SDKs to bring geometric information into your existing software.
03 / Your next step
Bring a part collection and a quoting or search problem. We will define the geometric inputs and evaluate how they contribute to your workflow.
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