Each of these is live in a real business today, built end to end by the same team that scoped it.
Research, sourcing and qualification pipelines for firms whose product is information and reach.
A pipeline monitoring four Reddit communities, classifying discussions with Claude into four financial categories, and generating YouTube-ready content ideas with titles, angles, and outlines into Notion. Runs daily at 8 AM.
4
Specialist Agents
4
Communities
Daily
Cadence
Built With
A Dubai consultancy wanted a lead engine it could point at a new industry without commissioning a new build each time. Sourcing runs across multiple independent scrapers with cross-referencing and deduplication, so no single provider becomes a point of failure or a pricing hostage. Contact resolution escalates through a waterfall of enrichment providers, stopping at the first verified result. Where no database holds the answer, AI research agents read company sites and public sources to complete the fields vendors simply do not carry.
New vertical by configuration
Coverage up, cost per record down
AI research agents
Client runs it independently
Built With
An agent that qualifies leads from multiple sources, enriches contact data, and books meetings with qualified prospects. It tripled the qualified pipeline within weeks of deployment.
3×
Qualified Leads
50%
Faster Cycle
85%
Accuracy
Built With
Every one of these started as a 30-minute conversation about what was eating the most hours.
