What it sells
Contact center AI platform.
Business model breakdown
Buyer: who owns the budget?
UnverifiedHead of customer operations / contact center or CX leaders at enterprises (demo-led enterprise sale).
Trigger: what makes them buy now?
Rising cost per call and long queues when IVRs and bots fail and every call hits a human agent; goal is to contain more requests without human involvement.
Workflow: what inputs become what output?
Voice AI agent answers inbound/outbound calls, authenticates the caller, looks up records and completes actions (12+ action types such as authenticate, look up, update, refund, schedule) in CRM/telephony/APIs, grounded in the Knowledge Center; evaluation framework verifies task completion; live transfer to a human as fallback.
Economics: what it saves and how it charges
Value is lower cost per interaction and returned human capacity via containment; also enables proactive outreach revenue. No numeric ROI stated on the pages read.
Distribution: how it reaches customers
Demo-led enterprise sales ("Get a Demo"), industry-specific pages (banking, healthcare, insurance, utilities, travel), partners page; says 350+ companies.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 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.