Overview
Quoting complex engineered parts is often slow, manual, and dependent on expert judgment, incomplete data, and disconnected systems. Engineering, costing, and sourcing teams must interpret CAD models, drawings, and BOMs under tight timelines—leading to delays, inconsistencies, and missed opportunities to reuse historical knowledge.
What buyers can do
**Generate faster, more consistent quotes **
- Use AI to analyze CAD models and drawings and estimate costs early in the RFQ cycle.
**Leverage historical quoting intelligence **
- Automatically identify similar parts, past quotes, and cost benchmarks to improve confidence and accuracy.
**Identify key cost drivers **
- Understand how geometry, material assumptions, and design complexity influence manufacturing cost.
Reduce manual effort and dependency on experts
- Minimize reliance on tribal knowledge and repetitive analysis across engineering and sourcing teams.
**Shorten RFQ turnaround time **
- Respond to customer and internal requests faster without compromising quote quality.
Highlights
- Automatically convert CAD models, drawings, and BOMs into early-stage cost and quote insights using AI. Leverage geometry understanding and historical quotes to reduce manual analysis, improve consistency, and accelerate RFQ turnaround without depending on complete metadata.
- Understand what drive's part cost early in the quoting process. AI analyzes CAD geometry, materials, and design complexity to surface key cost drivers and enable informed design, pricing, and sourcing decisions before downstream commitments.
- Standardize quoting across teams and programs by reusing historical cost and quote intelligence. Reduce dependency on individual expertise, improve consistency across regions, and scale engineering and sourcing operations without increasing manual effort.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
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