Beauty business management platform expanding into AI-powered automation
Trinks operates a cloud-based scheduling and management system for Brazilian beauty salons and studios, now building generative AI capabilities into its core product. The tech stack reveals a serious AI engineering effort: LLMs (OpenAI, Claude, Mistral), RAG, LangChain, and LlamaIndex paired with Python and .NET backends. Active projects span conversational AI, email/push automation, and a new generative AI-native product interface—suggesting a pivot from pure SaaS operations toward an LLM-augmented feature set.
Trinks provides scheduling, booking, and business management software for beauty professionals across Brazil, with approximately 40,000+ active businesses on the platform. Founded in 2012 and based in Rio de Janeiro, the company operates as a privately held, 51–200-person organization. Recent hiring and project activity indicates a shift toward AI-driven automation: the team is building conversational interfaces, implementing RAG solutions, and designing a new product surface from the ground up using generative AI. Current friction points center on model performance monitoring, cost management, and the operational challenge of scaling paid customer acquisition channels.
Trinks uses Python and .NET for backend services, Angular and React for frontend, SQL Server and MySQL for databases, plus AWS infrastructure (EC2, SQS, Kafka). For AI: OpenAI, Claude, Mistral, LangChain, LlamaIndex, and RAG. Analytics via Looker, Power BI, and Google Data Studio.
New AI products: a conversational AI system, RAG implementation, and a generative AI-native product frontend. Also scaling email/push campaigns, paid media optimization, and continuous A/B testing infrastructure.
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