Turn incoming RFQs into faster, more accurate proposals
Bring together product specifications, approved technical content, previous responses, and supporting documentation to help your team prepare proposals and RFP responses faster, without sacrificing accuracy on the details that win or lose the deal.
Incoming RFQs rarely arrive clean. Rapid Proposals works through the ambiguity: missing part numbers, legacy customer codes, compliance requirements buried in the notes. Your best responses stop depending on which rep happens to pick it up.
- RFP & RFQ response
- Compliance validation
- Source-backed proposals
- Live with sales & proposal teams
The messy RFQ, read the way your best rep reads it.
Your best response shouldn't depend on which rep opens the RFQ first
A real RFQ package might include:
Response quality ends up depending heavily on which rep works it: tribal knowledge that doesn't scale, and walks out the door when experienced people leave.
Rapid Proposals turns that tribal knowledge into something the whole team can use, on every RFQ, not just the ones your best rep happens to see.
An AI Agent that turns an incoming RFQ into a response you can stand behind
Rapid Proposals ingests an incoming RFQ or RFP, works through it line by line, cross-references your product specifications, pricing, and prior approved content, and drafts a response grounded in your own technical documentation, with every claim traceable back to a source.
From a messy RFQ folder to a response your team can stand behind
Ingest the RFQ package
Real RFQ packages arrive as a mixed set of PDFs, spreadsheets, and Word documents, sometimes 50 or more files in one folder. Rapid Proposals reads the whole package and produces a structured summary: what's inside, what it means, and what's due when.
That summary includes each file's name and location, a short description, the owning department, key content, why it matters, and the due date.
Work through it line by line
Rapid Proposals cross-references inventory and pricing across your internal systems for each line item, and flags the lines that need a human's judgment call, surfacing the specific clarifying question a rep should ask rather than guessing.
Check the response against every requirement
Rapid Proposals can produce an automated compliance-validation report, mapping each RFP requirement line by line to the relevant technical response content and marking it Pass, Gap, or Fail, so nothing gets missed before it goes out the door.
On a recent enterprise deal of our own, the output was three parts: a narrative response addressing each RFP section, a compliance matrix mapping every requirement to a compliance statement, and supporting materials including the SOC 2 report, API docs, and case studies.
Draft the response in your format
Rapid Proposals can produce a structured proposal outline and a full structured response, with parameters for labor rate, currency, geography, locale, and language.
For Rolling Wireless, that means taking a structured RFQ spec, like a technical requirements spreadsheet, and drafting responses directly inside a dedicated RFQ workspace.
Complex products mean high-stakes, time-boxed proposals
A physical security integrator running Rapid Proposals handles roughly 750 proposals a year on a four-week response window.
Generic AI knows how to answer; Rapidflare knows your products
“ChatGPT, Claude, and Gemini are good at reasoning. What none of them know out of the box is your catalog, your compliance requirements, or which of your parts work together. We ground that same intelligence in your technical documentation, so the answer it gives is accurate to your specific products.”
The most common comparison we hear is Microsoft Copilot. Copilot does generic retrieval across your files. Rapid Proposals goes further, into the execution flow itself, with product intelligence behind every answer.
Live with sales and proposal teams today
“The level of engagement and responsiveness from the team stood out. They collaborated with us to implement additional features that enhanced the solution beyond the original scope.”
“By turning complex roadmaps, technical documentation, Salesforce inquiries, and Jira data into clear, actionable answers, Rapidflare helps our teams work more efficiently, support customers better, and avoid solving the same problem twice.”
Rapid Proposals is live and deployed with proposal and sales teams at organizations including Rolling Wireless, each running it against their own RFQ workflows and technical content.
This is the sell-side, and there's a buy-side version too
Rapid Product Selection Agent helps buyers on your own site move from a vague requirement (no SKU, no brand, just an application) to a submitted, qualified RFQ. It's live in production today via a McFadyen Digital deployment.
Explore Rapid Product Selection →Connects to the systems your proposals already depend on
Deployable across web, Slack, mobile, CRM, email, and partner portal.
Your business rules, not a generic template
Every response can reflect the way your organization sells: reusable approved answers, consistent pricing logic, and the compliance bar your best reps already hold themselves to.
Frequently asked questions
What is Rapid Proposals?
Rapid Proposals is an AI Agent that ingests incoming RFQs and RFPs and helps sales and proposal teams respond accurately and quickly, grounded in your product specifications, approved technical content, prior responses, and supporting documentation.
Can it handle a messy RFQ package with dozens of files?
Yes. Rapid Proposals can ingest a full RFQ package (a mixed set of PDFs, spreadsheets, and Word documents) and produce a structured summary of what's inside before working through the response.
Does it check our response against the RFP's requirements?
Yes. Rapid Proposals can produce a requirement-to-response compliance matrix that maps each RFP requirement line by line to the relevant response content and marks it Pass, Gap, or Fail.
Does Rapid Proposals replace our proposal team?
No. It's designed to handle the systematic, time-intensive parts of a response (intake, cross-referencing, compliance checking, first-draft language) and flag the lines that need human judgment, so your team spends more time on strategy and less on assembly.
Can it connect to our CPQ and quoting systems?
Yes. Rapid Proposals is designed to integrate with CPQ and quoting tools, CRM, ERP, PIM, and technical documentation systems so a response can flow directly into your existing workflow.
What AI models power Rapid Proposals?
Rapidflare uses a domain-aware AI pipeline built specifically around product and technical knowledge, rather than a single off-the-shelf model. The focus is on grounding responses in your own product data and documentation.
Is there a buy-side version of this?
Yes. Rapid Product Selection Agent helps buyers on your own site move from a vague requirement to a submitted, qualified RFQ. Rapid Proposals then helps your team respond to that RFQ, and to RFQs arriving through any channel.
Give every rep the same accurate, compliance-checked response, in minutes, not weeks
Grounded in your product specifications, approved content, and prior proposals.
See Rapid Proposals in action