Bombo: 5,000 contacts generated, saving thousands of hours of manual prospecting

Lead scraping + database generation

We built a database to support their fundraising. They wanted to identify which VCs had invested in LatAm crypto companies and find the decision-makers.

Results

5,000

contacts generated, saving thousands of hours of manual prospecting.

System layers involved

The ZalesMachine System has three layers. These are the ones this project used:

AI Agents

AI Agents as a Service: custom agents and automations, one at a time, each in production before the next one starts.

Who we worked with

Bebe Pueyrredón

CEO @ Bombo

More case studies

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