From RFP to recommendation in 60 seconds.
ProposalIQ is not a template engine. It is a strategic intelligence layer that dissects complex procurement requirements and synthesizes winning responses with the precision of a master architect.
Five steps from upload to decision
The pipeline behind ProposalIQ is twelve internal steps; what you actually see and act on is five. Each one returns a concrete artefact you could take to a partner meeting and defend.
Upload an RFP
PDF, DOCX, or paste. The system parses the brief into requirements and themes in seconds. Your data stays inside your tenant; no cross-customer training.
Bid / Conditional Bid / No Bid
Top matches from your repository, a confidence score, and a short rationale grounded in your past work. Enough signal to triage the opportunity-list call before any real bid hours go in.
Full intelligence pack
Opportunity gaps the RFP demands but your archive doesn't evidence yet. Win strategy. Winning-language library mined from your own past wins. Suggested team. Indicative budget breakdown. A sanity-check pass on the matches.
Drafts on demand, sourced from your repository
Generate any section of the response. The system flags [EVIDENCE NEEDED] markers rather than fabricating claims. A pre-delivery QA pass corrects the draft against contract rules before you ever see it.
Tell it what happened
Won, lost, no-bid, withdrawn. Future scans weight matches toward the projects that actually convert in your hands. Every bid makes the next decision sharper.
Pick the right depth for the moment
Two modes for two different jobs: the bid/no-bid triage call, and the bid you've decided to commit to.
Quick scan
- boltVerdict + confidence score in under a minute.
- check_circleTop 5 matched proposals from your repository.
- timerBest for the bid/no-bid triage call.
Deep scan
- architectureOpportunity gaps, win strategy, suggested approach with budget.
- psychologyWinning-language library mined from your past wins.
- shieldSuggested team + sanity-check on top matches.
Getting
started
No multi-week implementation. The fastest way to evaluate ProposalIQ is to load your repository, scan a real RFP you've already submitted, and compare what the system flags vs what actually happened.
Upload your repository
Past proposals (won, lost, withdrawn), CVs, rate cards. We parse and tag each one automatically using a two-axis taxonomy; you correct anything that's wrong.
Confirm what you offer
A quick website scan suggests your service offerings; you trim or add. This becomes the canonical filter for what counts as in-scope when an RFP arrives.
First scan
Drop in a real RFP — ideally one you've already submitted. Compare what ProposalIQ would have flagged against what actually happened. The honesty of the answer is the proof.