AI for Engineering
Turn RFQs and engineering drawings into structured cost estimates and quotation drafts for engineering review.
The Challenge
What It Does
For quotation engineers and estimating teams reviewing manufacturing RFQs.
RFQ & Requirement Review
Extract material specifications, quantities and critical requirements from RFQs and customer documents to prepare the quotation review.
Drawing Review & DFM Analysis
Review drawing features, tolerances and surface finishes to identify manufacturing requirements and risks that affect the estimate.
BOM Preparation
Structure part and material information into a bill of materials for manufacturing cost estimation and engineer review.
Manufacturing Cost Estimation & Quoting
Use BOM, process steps, material prices and historical benchmarks to prepare a structured cost breakdown and quotation draft for engineer review.
Process Flow Design
Prepare proposed manufacturing routes with operation sequences and estimated cycle times for engineers to review alongside the cost estimate.
Product Matching & Reuse
Compare new requirements with existing designs to identify reusable parts and assess the scope of modifications before quoting.
How It Creates Value
Respond to more RFQs with the same team. Every RFQ you could not process before is now a potential win.
AI-generated BOMs and process plans reduce quote-to-actual cost variance, preventing margin erosion from manual estimation errors.
Faster from customer requirement to production-ready process plan. Product matching skips entire development cycles when existing solutions fit.
How It Works
See It in Action
Processing 12,000+ drawings per year, reducing quote turnaround from 10 days to under 1 day for a Tier 1 supplier.
View use cases →Matching new transformer specs against 3,000+ existing designs to maximize component reuse and reduce engineering cost.
View use cases →Ready to improve your quoting workflow?
Discuss your RFQs, drawings and estimating process.