What it sells
AI-powered customer service for startups
Business model breakdown
Buyer: who owns the budget?
UnverifiedHeads of customer service / CX at fast-growing digital companies (Brazil).
Trigger: what makes them buy now?
Support load from WhatsApp conversations growing; helpdesks built for tickets rather than real-time chat.
Workflow: what inputs become what output?
Centralise channels (WhatsApp-first), AI agents resolve cases and execute actions in client systems, handing the rest to human team; copilots assist agents.
Economics: what it saves and how it charges
Claims automation of up to 90% of tickets, 96% accuracy, 21 days average implementation; case studies show 70-76% of tickets resolved by AI (Conta Simples, Sólides, Insider).
Distribution: how it reaches customers
Demo-led ("Agendar demonstração"); case studies; positions as WhatsApp-native alternative to international tools, partner/tech-provider status.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 2021 | — | 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.