Read the request
Turn RFQ requirements into a clear checklist and identify missing information.
Applied AI for Business
Mining and industrial RFQ/proposal systems
RFQs pull people through old quotations, specifications, certifications, case studies, and contract language. A practical system can accelerate the work while qualified employees retain approval.

The opportunity
A good RFQ system extracts requirements, creates a checklist, finds relevant historical content, and drafts a response framework for a qualified employee to review.
GranitePraxis will not promise autonomous bidding on multimillion-dollar work. The system supports the people responsible for accuracy, pricing, technical review, and approval.
What the system supports
Turn RFQ requirements into a clear checklist and identify missing information.
Surface relevant quotations, capabilities, certifications, and project experience.
Give estimators and engineers a better draft to check, correct, and approve.
Have a proposal process to improve?
Discuss a scoped system
Capture the incoming request and its requirements.
Create a checklist and identify the gaps.
Assemble relevant content into a response framework.
Let qualified people make the final call.

A strong local wedge
A well-scoped system can reduce searching, strengthen consistency, and create capacity without pretending the work is risk-free.
Discuss an RFQ systemThe next worthwhile step
Tell me what your team searches for repeatedly. We can identify a safe, useful first system.
Start the conversation