AI writes the RFQ
Describe the part in one line — grade, quantity, delivery city. The model produces a structured RFQ with specifications, tolerances, packaging and evaluation criteria filled in.
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AI sourcing engine for Indian manufacturing
CuseQ is an AI-powered RFQ platform that helps Indian procurement teams and suppliers exchange structured quotations, verify business details earlier, and keep sourcing conversations in one calm, trustworthy place.
Post procurement requirements, receive structured quotations from verified manufacturers, wholesalers, and vendors, and compare responses in one calm workspace designed for Indian sourcing teams.
The AI layer
Sourcing fails on unstructured work: reading quotes, chasing suppliers, reconciling formats. Each of those steps is a machine problem, so we built a machine for it.
AI writes the RFQ
Describe the part in one line — grade, quantity, delivery city. The model produces a structured RFQ with specifications, tolerances, packaging and evaluation criteria filled in.
AI matches the suppliers
Your requirement is matched against supplier capability, capacity, location and past performance. Suppliers receive work they can actually quote, instead of a broadcast blast.
AI reads the quotes
Quotes arrive as PDFs, spreadsheets and plain text. The parser extracts unit rate, GST, freight, lead time and payment terms into one normalised table.
AI explains the comparison
Landed cost is computed per line and the recommendation shows its reasoning, so a procurement head can defend the decision without reopening the file.
Built for buyers
Built for suppliers
Get started
Post your specification, let the model structure it, and compare the quotes that come back on landed cost rather than headline rate.
Start with a single RFQ and see what the comparison looks like before you commit to anything.
See how it works