01
Document ingestion
Both documents are parsed into structured text. Section structure, tables, headings, and embedded text from PDFs are preserved. Word and PDF formats are supported.
How it works
How ReqFit works
Inside the AI pipeline that reads your RFP and proposal together and tells you what is missing. Built on Google Cloud Vertex AI for bid and proposal teams.
The journey
Three steps. One report.
01
Upload
Drop in the RFP and your proposal. Word, PDF, or both. No setup. No prompt engineering. No bid team required.
02
AI analyses
The pipeline reads both documents, extracts every requirement, maps your responses, and scores how well each requirement is covered.
03
Get your report
Download a structured review report you can act on, share with your team, or attach to an internal sign off.
One click. Three steps. Read on for what is happening underneath.
See it in action
See it in action
Here is ReqFit running for real. Below are three screenshots from the product, plus a short walkthrough showing the full flow from upload to finished report.
Upload your documents
Watch the AI pipeline run
Download your AI checked report
Click any screenshot to view it at full size.
The pipeline
Inside the AI pipeline
ReqFit runs on Google Cloud Vertex AI. It is not a chatbot you have to coach. It is a multi-stage pipeline purpose-built for one job: comparing a proposal against the requirements in an RFP and producing a structured review you can use.
Here is what happens between upload and report.
02
Requirement extraction
The AI reads the RFP and extracts every requirement, evaluation criterion, and mandatory question. Each requirement is given an ID and tagged with its source location and priority.
03
Coverage analysis
Your proposal is cross-referenced against the extracted requirements. The AI maps responses to specific requirements, identifying where coverage is direct, where it is partial, and where it is missing entirely.
04
Scoring and gap identification
Each requirement receives a coverage rating: Strong, Adequate, Weak, or Missing. Gaps are tagged by priority and effort to fix. The pipeline produces an overall fit score plus a section by section breakdown.
05
Report generation
The full analysis is rendered into a structured report covering executive summary, coverage scorecard, requirement by requirement analysis, gap list, improvement areas, and recommendations.
The whole pipeline runs end to end without your input.
Cloud platform
Built on Google Cloud Vertex AI
ReqFit is built on Google Cloud Platform's Vertex AI. We use a multi-model approach. Different models are routed to different stages of the pipeline based on the task. Document parsing, requirement extraction, coverage reasoning, and report generation each have a dedicated model configuration tuned for the job.
This matters for three reasons.
Platform
Google Cloud Vertex AI
Multi-model architecture. Different stages of the pipeline route to different Vertex AI models, each tuned for the task. Stateless. Logless. Your documents are processed and discarded.
Capability
A general purpose AI tool cannot reliably produce a structured proposal review. It can give you opinions, suggest rewording, and answer questions about your bid. It will not extract every requirement from a forty page RFP, map them to your responses, and score coverage in a structured way. The ReqFit pipeline is engineered for that specific task.
Reliability
Production AI infrastructure means consistent behaviour. Two reviews of the same documents produce comparable results. There is no prompt engineering required from you, and no risk of getting a different answer because the model felt different that day.
Security
Vertex AI processes your documents inside Google Cloud. ReqFit is stateless and logless. Your proposal and RFP are processed to generate your report and then discarded. We do not store, log, or train on your documents. Full detail in How we use AI.
Purpose built
Not a chatbot. Not a writing tool. A purpose built AI reviewer.
ReqFit is not a general purpose AI assistant. It does not write your proposal, suggest replacement copy, or answer questions about your bid. It does one thing. It tells you, with evidence, where your proposal does and does not match the brief.
Structured output
Every report follows the same format. The same eight sections, the same scoring scale, the same evidence trail. You can read the second one as fast as the first because you already know where to look.
Domain reasoning
The pipeline understands what an RFP is. It knows the difference between an evaluation criterion and a context paragraph, between a hard requirement and a nice to have, between a question that needs a specific answer and one that needs a narrative.
Reproducible quality
Run the same documents through ReqFit twice and you will get the same conclusions. The output is grounded in the source text, not in a model's mood.
The report
The report
Every ReqFit report covers eight sections. The structure is the same every time so you and your team always know where to look.
- 01 Cover and About this report
- 02 At a glance
- 03 Priority actions
- 04 Critical gaps
- 05 Strengths
- 06 Submission readiness
- 07 Improvement areas
- 08 Detailed breakdown
The report is delivered in both Word (.docx) and PDF format. Edit it, share it, or attach it to an internal sign off. It is yours.
Privacy
Your data, your control
ReqFit is stateless and logless. Your proposal and RFP are processed to generate your report and then discarded. We do not store, log, or train on your documents.
Full detail on data handling, the Vertex AI processing region, AI regulation alignment, and your rights is in How we use AI.
What that means in practice
- Zero retention. Documents are processed and discarded immediately after report generation. No copies are kept on ReqFit infrastructure.
- Sole sub-processor. Document processing happens within Google Cloud Vertex AI. No other third party touches your document content.
- Encrypted in transit. All uploads and processing use TLS 1.3.
- No human review. ReqFit staff do not access customer documents at any time. The pipeline runs without manual intervention.
- No model training. Your documents are never used to train, fine-tune, or improve any AI model.
- UK GDPR aligned. Data Processing Agreement available on request.
Get your one free report
No credit card. No commitment. One free report on every account.
Try ReqFit free