Wati is a WhatsApp Business API-first platform that bundles messaging, automation, and AI into a revenue operations system. The tech stack reveals a polyglot backend (C#, Java, Go, Python) built on AWS/GCP/Azure with message queuing (Kafka, RabbitMQ) and caching (Redis) — infrastructure required for low-latency, multi-region messaging at scale. Active adoption of Claude, ChatGPT, and Perplexity signals aggressive embedding of LLMs into product logic, particularly for the Astra AI layer. Hiring skews heavily toward marketing (42 roles) and engineering (43), with notable leadership gaps in demand generation and performance marketing — the org is scaling revenue operations faster than it can staff.
Notable leadership hires: Head of Demand Generation, Performance Marketing Lead, SEO Lead, Head of Sales
Wati started in 2020 as a WhatsApp team inbox and has evolved into a conversational revenue platform serving over 16,000 customers across 190+ countries. The product layers unified messaging (WhatsApp + connected channels), no-code automation, and an AI engine (Astra) to help sales, support, and marketing teams orchestrate customer conversations. The engineering-heavy stack spans C#, Java, Go, and Python, with cloud deployment across AWS, GCP, and Azure. Current growth levers include expanding Astra adoption, penetrating enterprise segments, and scaling paid acquisition globally — evident in active projects around regional expansion, upsell workflows, and paid media strategy across Meta, Google, YouTube, and LinkedIn.
Wati uses C#, Java, Go, Python, and JavaScript for backend/frontend, deployed on AWS, GCP, and Azure. Message handling runs on Kafka and RabbitMQ; data storage on MongoDB. Frontend built with React, Redux, HTML, CSS. Currently adopting Claude, ChatGPT, and MCP for AI features.
Wati is headquartered in Hong Kong and was founded in 2020. The company is privately held with 201–500 employees and actively hiring across 13 countries including China, Vietnam, Malaysia, India, US, Brazil, Mexico, and Indonesia.
Other companies in the same industry, closest in size