Score the selection committee’s rubric before you submit it.
Best-value, CMAR and design-build awards are decided by a committee scoring against published, weighted criteria; QBS ranks firms purely on qualifications (SF 330). RapidRFP assembles your SOQ and scores your proposal the way that committee will, before you submit.
Grounded · cited · scored before you submit · never trains on your data
Tuned for your arena
The 4-step Construction & AEC pursuit, run inside RapidRFP.
RapidRFP is one system for construction and AEC pursuits: it qualifies the solicitation, tracks every submittal requirement, drafts from your project record, and grades the package against the selection committee’s criteria before it goes out.
Bid or walk, in minutes
The pursuit graded against your project history, bonding capacity and crew availability.
Every submittal, tracked
RFP and SF 330 requirements parsed into a checklist with owners and due dates.
Written from your record
Project descriptions, key personnel and safety record pulled from your library and cited.
Graded before submission
The package rated against the committee’s published criteria, with a fix list.
AI in the loop for construction & aec work
Statements of qualifications that make the short list
Assemble authoritative SOQs and design-build narratives — pulling your strongest project sheets, key-personnel resumes and differentiators into an on-brand, owner-tailored package.
- SOQ & qualifications-package assembly
- Design-build, CMAR & IPD narratives
- Key-personnel resumes & org charts
- Owner-specific tailoring
Qualifications
4 of 4 checks passed
Extract requirements from massive spec sets
The shredding engine reads hundreds of pages of specifications and instructions to bidders, pulls out the compliance requirements, and builds a checklist your estimators can actually work from.
- Requirement extraction from spec sets
- Instructions-to-bidders (ITB) parsing
- Compliance checklist & matrix
- RFQ → SOQ → RFP two-stage support
Compliance
4 of 4 checks passed
Score the way the selection committee will
An owner + A/E + cost-consultant committee scores against published weighted criteria. QBS work ranks firms on qualifications alone, price omitted, on SF 330. RapidRFP predicts your score or rank, with the fixes.
- Best-value weighted-criteria scoring
- QBS / SF 330 ranking, price omitted
- Method-aware: best-value vs. QBS
- Predicted score, then re-score
Evaluator simulation
4 of 4 checks passed
Graded against the rubric you’ll actually be scored on.
Evaluation rubric
QBS / SF 330 committee scoring
Relevant project experience
Key personnel & team
Approach & schedule
Local presence & capacity
RapidRFP applies the selection committee’s published criteria to your package and returns the score per criterion, what a reviewer would mark down, and the fixes that move the score most.
See how proposal scoring worksHow the work actually changes.
Built for the language of construction and AEC pursuits
RapidRFP speaks your industry’s vocabulary out of the box — no prompt engineering required.
- Best-value selection-committee scoring
- QBS / SF 330 qualifications ranking
- Statement of Qualifications (SOQ) assembly
- Design-build, CMAR & IPD narratives
- Spec set & requirement extraction
- Past-project (project sheet) library
- Key-personnel resumes & org charts
- Safety records & EMR references
- Bonding capacity & surety
- On-brand graphics & layouts
“We pursued two more design-build short-lists last quarter with the same proposal team. RapidRFP did the assembly and our people focused on the win strategy.”
Every part of the pursuit, in one system.
Frequently asked questions
Common questions from construction & aec teams.
Yes. It assembles SOQs and design-build narratives from your project sheets, key-personnel resumes and differentiators, tailored to the owner and styled on-brand — the core of how AEC firms win the short list.
Ready to win more construction & aec work?
Book a 30-minute demo and watch RapidRFP shred and draft a real solicitation from your space.
Self-checking loops · grounded & cited · never trains on your data