What it sells
Automated receptionist that answers missed calls for local businesses
Business model breakdown
Buyer: who owns the budget?
CIO or operations manager at medical offices, hospitals, and government agencies (strong Puerto Rico presence).
Trigger: what makes them buy now?
Missed calls, no-shows and paperwork burdening front-desk staff.
Workflow: what inputs become what output?
LARA AI answers missed and incoming calls, books appointments, sends SMS/voice confirmations and reminders, HIPAA-compliant two-way messaging, digital forms by SMS, and shows operational dashboards.
Economics: what it saves and how it charges
Subscription for AI receptionist/outreach; customers cite 195K+ calls answered and thousands of recovered appointments; pricing not published.
Distribution: how it reaches customers
Demo-led (Request Demo), sector solutions for healthcare, government, enterprise, case studies.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2018 | — | 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.