RFP.ai
RFP.ai helps teams answer RFPs, DDQs, and security questionnaires with AI drafts grounded in approved sources, citations, confidence cues, and reviewer control.
A startup from Den Dungen, the Netherlands that is founded by Peter Schout.
RFP.ai helps teams answer RFPs, DDQs, and security questionnaires with AI drafts grounded in approved sources, citations, confidence cues, and reviewer control.
A startup from Den Dungen, the Netherlands that is founded by Peter Schout.
This page is designed to help you find out whether RFP.ai is good and if it is the right choice for you.
RFP.ai is an AI-powered response platform for teams that answer RFPs, RFIs, DDQs, vendor questionnaires, and security assessments.
Instead of starting from a blank page, teams can upload approved documents, past proposals, policies, product sheets, security answers, and other trusted source material. RFP.ai uses that knowledge base to draft answers with source citations, confidence cues, and reviewer control.
The platform is built for proposal teams, presales teams, sales engineers, compliance teams, and security teams that need faster responses without losing accuracy or auditability.
Key features:
RFP.ai is useful when the answers already exist somewhere in the company, but are buried in old proposals, shared drives, policy documents, spreadsheets, or internal knowledge bases.
The goal is simple: help teams review and submit stronger responses faster, without relying on unsupported AI-generated claims.
Listed in
Source Citations
Shows which approved documents were used for each AI-generated answer
Confidence Scores
Flags answers that need reviewer attention before submission
RFP & DDQ Support
Supports RFPs, RFIs, DDQs, and security questionnaires
Knowledge Base
Uses past proposals, policies, security docs, and approved content
Human Review Workflow
Assign uncertain answers to reviewers and subject matter experts
Export Formats
Export responses to Word, Excel, PDF, and CSV
Browser Extension
Helps answer questionnaires in portals and online forms
Claude Integration
Supports Claude Desktop workflows via MCP
RFP.ai does not publicly disclose customer names.
RFP.ai focuses on source-backed answers rather than generic AI writing.
The platform drafts responses from approved company documents, past proposals, policies, security material, and other trusted sources. Each answer can include citations, confidence cues, and reviewer control, so teams can see where an answer came from before using it.
That makes it useful for high-stakes RFPs, DDQs, RFIs, and security questionnaires where accuracy, evidence, and review matter.
Choose RFP.ai if you want a focused, lightweight RFP response platform with source citations, confidence cues, and human review built into the workflow.
Many proposal tools focus on content libraries or broad proposal management. RFP.ai is built around the practical problem most teams face: the answer already exists somewhere, but it is buried in old proposals, shared drives, policies, spreadsheets, or internal documents.
RFP.ai helps teams find, draft, review, and export responses faster without relying on unsupported AI-generated claims.
RFP.ai is built for proposal teams, presales teams, sales engineers, security teams, compliance teams, and B2B SaaS companies that regularly answer RFPs, RFIs, DDQs, vendor questionnaires, and security assessments.
It is especially useful for teams that already have approved content, but lose time searching across old proposals, document folders, spreadsheets, and internal knowledge bases.
RFP.ai was built to solve a common proposal workflow problem: teams were rewriting the same answers over and over, even though the right information already existed somewhere inside the company.
The product was designed around a simple idea: AI should not invent proposal answers. It should retrieve approved knowledge, draft a usable response, show the source, flag uncertainty, and let the team review before submission.
That is why RFP.ai combines AI drafting with citations, confidence cues, human review, and export workflows.
RFP.ai uses AI language models, retrieval-augmented generation, document parsing, semantic search, source citation workflows, browser automation, and MCP-based integrations.
The product is designed to work with company knowledge sources such as past proposals, policies, security documents, product sheets, and approved answer libraries.
RFP.ai is a solid choice for teams looking to speed up RFP responses using AI-driven automation, offering strong value for organizations that handle frequent proposal requests, though results depend on the quality of your knowledge base and the complexity of your RFPs.
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