What it sells
Voice-first agentic AI.
Business model breakdown
Buyer: who owns the budget?
UnverifiedHeads of customer experience, collections and contact-center operations at banks, insurers, telecom and healthcare enterprises (named case: Bank of Baroda).
Trigger: what makes them buy now?
Support queues overflow after hours and agents spend most time on repetitive queries; need to scale multilingual voice contact (collections, KYC, support) without adding headcount.
Workflow: what inputs become what output?
Voice AI agents handle inbound/outbound calls for collections, KYC onboarding, support, lead qualification, appointment booking and surveys; analytics scores 100% of calls; agent-assist gives live in-call hints; voice biometrics for authentication.
Economics: what it saves and how it charges
Enterprise deployments plus API usage for speech-to-text, text-to-speech and LLMs; value claims: Bank of Baroda 15% lower cost per call and 24% CSAT increase, a broking firm 11.9x ROI and Rs 1.01 Cr monthly revenue added.
Distribution: how it reaches customers
Dual motion: "Book a Demo" for enterprise sales, plus self-serve "Get API Key" for developers (go-live under 20 minutes) and a partner program.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-03-31 | Series B | $10M | — | 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.