Custom Demo · Prepared May 2026 · Terra Construction × SimpliScale
Demo 1 of 3

Proposal Forge

Drop an RFP. Get the proposal sections back. In minutes.

Every government RFP asks for different qualifications. Past project descriptions, contract amounts, start/finish dates, photos. Proposal Forge reads the RFP, knows exactly what fields they want, and generates the past-project-history section pulled from your project database.

What this means in plain English: Right now, when an RFP asks for "past project history with photos, contract amounts, and durations," someone in your office hand-writes that section every time. This tool does it in 30 seconds.

"This is the exact thing Brandon asked for during the discovery call."

Connected to Terra Construction database · 47 projects indexed · Last sync: just now

From RFP to Ready-to-Send

Three steps. Under two minutes. Same workflow every time.

1
Drop the RFP
City-of-OKC-Library-RFP-2026.pdf
342 pages · 4.7 MB · Analyzed just now
Analyzed in 8.2s
Drop your RFP PDF here
or click to browse · supports .pdf, .docx, .doc
0
Reading pages...
Initializing AI extractor...
Complete · 8.2 seconds
AI extracted these qualification requests in 8.2 seconds:
"Brandon — this is the part where you'd normally have Christina sit down for an hour with the PDF and a highlighter. Eight seconds."
2
Match Against Your Past Project Database

Your project archive. 50 years of history, indexed and searchable.

AI matched 5 projects relevant to this RFP
"The system knows which of your 50 years of projects actually match what they're asking for. It's not pulling all 200 — it's pulling the 5 that fit this RFP's scope and dollar range."
3
Generated Proposal Section
Ready to generate the Past Project History section.
GENERATED IN 0.0 SECONDS · READY TO PASTE INTO YOUR PROPOSAL
Approved Format
PAGE 1 of 3
Brandon's old process: 4–6 hours per proposal. New process: under 2 minutes.
"Brandon — this is what you said you wanted. Word-for-word. Drop it in, tell it the fields, get it back."

RFP Field Extractor

Same RFP. Different questions every time. The AI reads them all.

Raw RFP — Section 6.3 Qualifications
"The Contractor shall provide a list of no fewer than five (5) projects of similar scope and dollar value completed within the past seven (7) years. Each project listing shall include the project name, location, owner contact, contract amount, start and completion dates, scope description (minimum 200 words), and photographic evidence of the completed work. Bidders failing to submit complete project histories will be deemed non-responsive."
Hover any highlighted phrase to see the extracted field
AI-Extracted Structured Fields
{ "required_projects": 5, "scope_match": "similar", "value_match": true, "max_age_years": 7, "required_fields": [ "project_name", "location", "owner_contact", "contract_amount", "start_date", "finish_date", "description" ], "description_min_words": 200, "photos_required": true, "failure_penalty": "non-responsive" }

Every RFP asks for it differently. Brandon's exact words: "everybody asks different questions and it's all different every time. There's no standard way of doing it with the government." AI handles that.

What This Looks Like in Numbers

Based on your March – September 30 bid season.

0
hours / month
Saved during bid season
0+
proposals
Brandon can bid (up from 10-15)
0s
to extract RFP fields
vs. ~1 hour by hand
+$0K
per month
Estimated ROI

Conservative: assumes Brandon wins just one extra $10M project per year from being able to bid more in season.

Three Steps. That's It.

No new systems to learn. No new staff to hire.

01
Upload your past projects once.

Drag in completed jobs — we extract photos, contracts, dates, descriptions automatically. The system reads scanned PDFs, Word docs, and photo folders. One-time setup, takes a few hours for 50 years of history.

02
Drop in any new RFP.

AI reads it, finds which qualifications they want, picks the best-matching past projects from your archive. Works on any government RFP format — federal, state, county, municipal.

03
Get the proposal section back.

Formatted, ready to paste. You review, refine, send. Christina spends 15 minutes reviewing instead of 4 hours drafting. The system never invents project details — it only pulls from your actual archive.

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