Intake
Read RFQs, specifications, spreadsheets, and referenced attachments.
AI Technical Bid Desk
Turn complex industrial RFQs into evidence-backed response drafts.
Extract every requirement, map it to approved technical sources, surface what is unknown, and give your engineering team a review-ready response package.
Built for industrial automation sales & applications teams
Illustrative workflow · RFQ-2408
Approved source evidence
SB-CTRL-400 · Rev 3 · p. 18
“Rated operating range: –25°C to 60°C”
Matched to requirement
Review status● COMPLY
Evidence owner
Applications engineering
Concept interface — not a live customer system
Applications engineering
Concept interface — not a live customer system
01 / Requirement signal map
From scattered files to one accountable response path.
Supported answers move forward. Conflicts and unknowns leave the automation path and enter engineering review.
Customer RFQ87 pages · Rev C
Technical schedules4 XLSX · 126 lines
Referenced standards12 documents
VERIFYApproved source boundary
Evidence-backed draftSupported answers
Engineering reviewExceptions routed
Clarification listUnknown items
02 / The workflowFrom intake to accountable review
Every answer shows its work.
SeerBoldor prepares the technical response. Your engineers retain every consequential judgment.
Extract
Structure requirements, revisions, units, standards, and missing inputs.
Verify
Map each requirement to an approved source, revision, page, and status.
Review
Route unknowns and exceptions before anything becomes a commitment.
Control by design
Unknown stays unknown.
SeerBoldor does not invent product capability or make commitments on your team’s behalf.
Approved sources only
Proposed answers are grounded in the documents your team designates.
Page-level evidence
Each response keeps its source, revision, and location in view.
Explicit exceptions
Conflicts, gaps, and unsupported requirements remain visible.
Human ownership
Engineers approve technical judgments before a response is exported.
See what your next RFQ could look like as a review-ready matrix.
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