What it sells
AI operating system for home services.
Business model breakdown
Buyer: who owns the budget?
CEO, VP Operations, Director of Operations or General Manager of multi-location home service (HVAC/plumbing/electrical) brands, per the testimonials.
Trigger: what makes them buy now?
UnverifiedHigh dispatcher/CSR headcount and missed calls and leads while the company grows, including tuck-in acquisitions; customers cite going from 22 dispatchers to 10 and 16 to 8.
Workflow: what inputs become what output?
Captures every lead (voice, web, chat), cleans bookings, dispatches on autopilot, updates customers, and works open estimates and recurring-service outbound.
Economics: what it saves and how it charges
Claims 29% average revenue per office FTE lift, 82% of interactions handled end to end, 41 average days to full deployment.
Distribution: how it reaches customers
Demo-led: 'Book a demo'.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-06-23 | — | $40M | — | news.google.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.