The signal was in the record.
We found it first.

Right now, you find out about projects when the RFP drops. About vendor relationships when earnings publish. About infrastructure spending when the bond prices move. By then, everyone else knows too.

See a Real Signal Chain Book a Data Review
Case Study / Amherst, New Hampshire / Population: 12,000
July 2023
A citizen complains about cell coverage at a Board of Selectmen meeting. The town agrees to investigate.
January 2026
American Tower signs a 30-year ground lease. Vote: 5-0-0. No town funds.
What happened in between
2023202420252026
23-MONTH COMPETITIVE WINDOW
FEB 2024
Tower company engaged, site visits begin
JAN 2025
Design pivot: combined tower not viable
17
signals
15
public meetings
32
months, start to award
0
federal records

No FCC registration. No FAA filing. No RFP. The only record of this deal is in meeting minutes on amherstnh.gov. If you weren't reading Amherst's Board of Selectmen minutes, you would not have known this deal existed.

Read the full signal chain with source links →
2,600+ municipalities parsed daily
472,000+ documents ingested
84,000+ classified signals
13,000+ tower sites screened
100+ public company tickers resolved
50 states
Map showing hundreds of small municipalities being monitored across the eastern United States

Nobody else reads Gorham, Maine

The big data vendors cover New York and Chicago. One competitor literally sends human beings to the town clerk's office. Nobody is reading the 19,500 small and mid-sized municipalities that issue the same building permits, check registers, and assessor records, just on worse websites, behind more obscure FOIA statutes. The system reads them because it has spent a year learning how to navigate these systems, one jurisdiction at a time.

How it works →

99% of these documents don't show up in search

A town clerk uploads a check register. It gets a URL. Nothing on the site ever links to it. Google can't index what it can't find. AI agents browse the same pages Google does.

Roughly 99% of the documents ingested are invisible to search engines and AI assistants. Public record, on public servers, at URLs that nothing points to. The system finds them because it has connectors for each municipal CMS platform, not a general-purpose crawler.

How it finds what search engines miss →

Where This Goes

2,600+ municipalities today. The same precursor documents exist in all 19,500.

2,600+ municipalities today
19,500 US municipalities
43,000+ permits structured
1.5M permits issued annually
100+ tickers resolved
$3.9T annual municipal spending
13,000+ tower sites screened
130,000+ FCC-registered structures

Sources: US Census Bureau, Census of Governments, FCC Antenna Structure Registration

Tell me what you're watching. I'll show you what the record says.

This works best if someone on your team evaluates external data: lead gen managers, acquisitions teams, alternative data analysts, infrastructure researchers. If that's you, book 15 minutes and bring a geography or a ticker. I'll show you what I see.

Book a 15-Minute Data Review Contact