What it sells
Qualified leads for agentic workflows.
Business model breakdown
Buyer: who owns the budget?
Sales and growth leaders at companies in data-scarce B2B markets (construction, hospitality, professional services, manufacturing, healthcare).
Trigger: what makes them buy now?
Standard lead databases lack data in these markets; teams want agents (Claude, ChatGPT, Copilot) doing qualification.
Workflow: what inputs become what output?
Upload won/lost deals, AI finds lookalikes and qualifies accounts, with people, phone and email data, then agents act via MCP inside Claude/ChatGPT.
Economics: what it saves and how it charges
Per-user subscription tiers by number of qualified leads per week; enterprise via forward-deployed engineers.
Distribution: how it reaches customers
Self-serve free tier plus tailored demos and enterprise; MCP in Claude and ChatGPT.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Fall 2025 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.