Conversational AI platform for customer service and payments in Brazil
Fintalk builds conversational AI for enterprise customer service and payments, deployed across retail, financial services, and telecom in Brazil. The tech stack is heavily orchestration-forward (n8n, Make, Zapier, Dialogflow, IBM Watson) rather than in-house LLM work — a pragmatic choice for rapid deployment in legacy-system environments. Active projects reveal two concurrent scaling challenges: a new tap&pay payments product built from scratch, and manual API integrations that the team is now automating. Hiring velocity is accelerating across engineering, data, and product, suggesting a pivot toward payments alongside core conversational AI.
Fintalk operates a conversational AI platform designed to replace or augment customer service functions at mid-market and enterprise companies in Brazil. The platform connects modern AI models (ChatGPT, Gemini, IBM Watson, Dialogflow) to legacy backend systems via API orchestration and WhatsApp/voice channels. Customers span retail, financial services, telecom, and insurance sectors. The company claims operational cost reductions up to 50% and NPS scores above 70 for deployed use cases. Founded in 2019 and headquartered in São Paulo, Fintalk operates as a partnership with 51–200 employees, currently concentrated in Brazil.
Fintalk integrates ChatGPT Plus, Gemini, IBM Watson, and Dialogflow via n8n and Make orchestration. The platform also includes proprietary conversational AI, deployed through WhatsApp API and WhatsApp Business API channels.
Core projects include complex flow development in Fintalk Studio, external platform integrations via APIs, conversational journey design, and a new tap&pay payments product. The team is automating manual integration processes and running A/B experiments on conversion paths.
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