Beltway Case Study | Agentify AI

Industry

Government Contracting

What We Built

Capture intelligence engine

Status

Live working product

Stack

React · Express · Claude at build time

Ironvale Federal Systems is a demonstration firm created by Agentify AI; every solicitation is scored against its capability profile, and every screen below is the actual product answering entirely from its own precomputed intelligence.

The Problem

Capture teams do not lose to weaker firms. They lose to unread pages.

A federal contractor's morning starts with a stack of solicitations too tall to read, and the winning line is always buried on page forty. In government contracting, an AI that summarizes without showing its sources is worthless at bid time; nobody takes an unsourced sentence into a bid decision.

The fix is not a faster reader. It is an engine that reads every requirement line, scores fit like a capture veteran, and backs every claim with a citation that jumps to the line that proves it.

The Solution

What Agentify AI Built

A capture intelligence engine that reads the whole stack at build time, scores every notice against the firm, and writes briefs where every sentence carries its proof.

1. The Reading

At build time, Claude reads all 32 solicitations and their 185 requirement lines, then scores each notice from 0 to 100 across six weighted factors: past performance, NAICS eligibility, set-aside status, agency familiarity, and more. The total AI bill for the entire library: $0.73.

2. The Citations

Every capture brief is built from claims that cite the exact requirement line they answer. Click a citation and the source panel scrolls to the line and highlights it. Nothing in the brief is unsourced, so nothing has to be taken on faith.

3. The Pipeline

Scored opportunities flow onto a capture board: drag a card from Identify to Qualify to Pursue to Bid, and the dashboard reweights the forecast as it moves. The live site makes zero AI calls; every page answers from its own precomputed intelligence.

Inside the Product

The Actual Interface

Captured from the live product as it runs today: every screen answers entirely from its own precomputed intelligence, with zero model calls at runtime.

The Beltway feed: 32 federal solicitations already scored on arrival, fit badges from 92 down, set-aside and notice-type filters — The Feed · Scored before you sit down

Every federal notice scored on arrival: 32 solicitations, fit from 0 to 100, the 92 on top.

A Beltway capture brief with numbered citations, each linked to the exact requirement line it answers in the source panel — The Citations · 185 lines, all addressable

Every claim in the brief carries a numbered citation to the exact requirement line it answers.

The score breakdown panel: six weighted factors behind a 92 fit score, each traced to the requirement lines that earned it — Why This Scored 92 · Explainable, line by line

Six weighted factors, each traced to its source lines: the score is an argument, not a verdict.

The Beltway capture board: cards moving from Identify to Qualify to Pursue to Bid, with dollars and deadlines on every card — The Board · $72.9M weighted demonstration pipeline

Identify to Qualify to Pursue to Bid: drag a card and the weighted forecast recalculates behind it.

The Beltway product on desktop and phone: navy chrome, beige canvas, the morning feed on one screen and a capture brief on the other — The Product · Navy chrome, beige canvas, one red moment per view

Desk to pocket, one system: the same palette and type carry the whole product at every screen size.

A clicked citation in a Beltway capture brief scrolling the source panel to the requirement line and highlighting it

The AI Moment

Click the claim. The proof scrolls into view.

The whole product earns its trust in one gesture. Every sentence of every capture brief cites the requirement line it answers; click the citation and the source panel scrolls to that line and highlights it. That is the difference between an AI that summarizes and an AI a capture team can take into a bid decision.

185

Requirement lines, every one addressable

AI calls at runtime

The Film

Beltway, the Film

The federal capture world in navy and beige, from the solicitation stack to the capture board.

Poster frame of the Beltway film: the federal capture world in navy and beige

Tap to play · produced by Agentify AI for the demonstration firm

The Outcomes

What Changed

Solicitations Scored and Briefed

Every notice in the library read at build time, scored across six weighted factors, and delivered with a fully cited capture brief.

Top Fit Score on the Board

The strongest match rises to the top of the feed, and its score opens into the six factors and the requirement lines that earned it.

$0.73

To Precompute All of It

The entire intelligence library cost seventy-three cents to generate. The runtime cost per page view is zero.

All the intelligence was precomputed for $0.73. The live site never calls a model.