Case Study: Signal Engine

The first build. A sales prospecting agent for a software escrow company. Pilot in progress.

The project

A prospecting agent built in four days

Client: [Case Study Client], a software and IP escrow company.

An agency quoted $9,500 for 60 hours of custom development plus $1,500 for a month of support, over five weeks.

We built a working, packaged agent in four days. The client sets it up with four commands.

What it does

How the agent works

Pulls target companies from Apollo

Filtered by industry, size, and other criteria set in the discovery interview.

Researches recent news at half price

AI batch processing cuts the cost of researching hundreds of companies at once.

Throws out unverified links

Any news link the AI didn't actually find is discarded automatically before scoring.

Scores companies with editable rules

The scoring criteria — which signals matter most — are set by the client and can be changed without code.

Finds verified contacts within a credit cap

Apollo email reveals are capped per run, set in plain settings.

Writes to HubSpot and builds a rep dashboard

Score, tier, reasons, source links, and contacts go straight into HubSpot. Reps see a "who to call this week" dashboard.

Status

Pilot in progress

4days to build
4commands to set up
$9,500agency quote for the same agent
$6,000our price (Advanced tier)
Results: coming after the pilot.

The agent is running on real accounts. We will publish time saved per week, cost per verified lead, and the before/after comparison once the client has approved the numbers in writing.

We do not show percentages or time saved until real numbers are measured.
🔍

Try the sample dashboard

The demo shows how reps see the output — score, tier, reasons, and talk tracks — on fictional companies.

View sample dashboard →

Want a similar agent?

Book a free 30-minute call. We'll demo Signal Prospector live on sample data and talk through whether it fits your sales motion.

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Proof policy

We don't invent results

No invented testimonials, star ratings, or client logos. Sample dashboards are labeled with fictional data. Real results and quotes are added only once a client approves them in writing.