What it sells
AI-Powered Building Management
Business model breakdown
Buyer: who owns the budget?
Real estate leaders, workplace strategists, occupancy planners, facilities managers.
Trigger: what makes them buy now?
Facing a lease, redesign or headcount decision; consultant studies cost six figures and go stale.
Workflow: what inputs become what output?
Upload floor plan for predictive demand forecast, layer sensor/WiFi/booking data, then act on lease, redesign and building-automation decisions.
Economics: what it saves and how it charges
Software platform plus sensors, advisory and managed services; claimed results include $60M avoided lease costs and $13M expansion avoided.
Distribution: how it reaches customers
Demo-led: Get a Demo / Schedule a Call; case studies and annual occupancy index.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2017 | — | 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.