MARKET SWEEP
Market and population reads
Counting and segmenting a market from the public register, for siting, territory planning, and go-to-market decisions.
Lead sweeps
Identifying businesses by observable characteristics: current vendors, contracts, benefit-plan filings. Built for IT, SaaS, and benefits sellers who know who they sell to but not who to call.
Ten firms in one metro read from the outside in, for a vendor deciding which accounts to approach and when. Passive capture of public web, DNS, and mail infrastructure, fused with state contractor registers. The headline finding: two apparently independent local brands are the same company, proven three separate ways — something no tool reading one website at a time can see. Concept specimen — fictional firms; no real firm or individual is depicted, and no personal data is collected.

What a single benefit-plan filing discloses about an employer — built for benefits brokers deciding who to call. Every US employer sponsoring a health plan files annually with the Department of Labor: the carrier, the broker of record by name, the commission that broker is paid, the renewal date, and where the plan is experience-rated, the ratio of claims to premium. A low ratio means they are overpaying; a high one means their next renewal will hurt. Either way it stops being a cold call. Illustrative specimen — no real employer is depicted.

The same filings read across three years, for a broker looking for accounts under pressure. Fewer covered people, rising cost per person, and a benefit line quietly dropped — three signals that each moved the same direction in consecutive years. It is not a claim that the company is in trouble; that is a conclusion. This is the record such a conclusion would rest on. Illustrative specimen — no real employer is depicted.

