An AI company that prospects the AI way - lists pulled by agents, not analysts
Nextus AI builds with AI all day, so they refused to do prospecting like it's 2015: no CSV shuffling, no manual research sprints. Their stack talks to Argorant through the API and MCP connector - an agent turns an ICP description into a verified, campaign-ready list in minutes, and the humans spend their time on positioning and conversations instead.
The challenge
A small team where every hour spent on list research is an hour not spent shipping product.
Fast-moving ICP: as the product evolved, last month's target list was already the wrong one.
They wanted prospecting to live inside their own AI workflows, not in another browser tab.
“We treat Argorant like infrastructure. Our agent asks for the market, gets verified people back, and a campaign is live the same afternoon.”
Founder, Nextus AI
What they did with Argorant
- Connected their agents to Argorant via the MCP connector, so list building is a prompt, not a project.
- Encoded their ICP as reusable searches the agent re-runs whenever positioning shifts.
- Exports flow straight into their outbound tooling with verification at download.
The results
- Prospecting collapsed from a recurring research chore into a background task their agents handle.
- Campaigns re-target the current ICP instantly whenever the product story changes.
- The founders' time moved from data work to actual pipeline conversations.
In their words
“We treat Argorant like infrastructure. Our agent asks for the market, gets verified people back, and a campaign is live the same afternoon.”
Founder, Nextus AI
Same verified data, same targeting - pointed at your market. No call required.