Rasa

About Rasa

Rasa provides an open and extensible infrastructure for building enterprise-grade conversational AI. Founded in 2016 by Alan Nichol (CTO) and Alexander Weidauer (CEO), the company originated from the founders' desire to provide developers with greater control over language understanding, moving away from black-box APIs. This led to the creation of Rasa NLU and the full open-source framework. Rasa’s business model operates on an open-core basis, monetizing its popular open-source tools with commercial offerings tailored for enterprise use. The core product, Rasa Open Source, is a widely-used framework for developing text and voice-based AI assistants, boasting over 25 million downloads. Building on this foundation, the company offers the Rasa Platform, which includes Rasa Pro and Rasa Studio. Rasa Pro delivers enterprise-grade security, observability, and scalability, while Rasa Studio provides a low-code UI for business users and conversational AI teams to collaborate on improving assistants. A key technological differentiator is Rasa's CALM (Conversational AI with Language Models) architecture. This approach separates language understanding, handled by large language models (LLMs), from business logic execution. This hybrid model is designed to provide the fluency of LLMs while ensuring predictable, reliable behavior that adheres to business rules, a critical feature for clients in regulated industries like finance, insurance, and healthcare. Two of the world's top three banks are among its clientele. The company is privately held and has secured significant venture capital, with a Series C funding round of $30 million in February 2024 co-led by StepStone Group and PayPal Ventures. This round was notably the first investment from PayPal Ventures' AI-focused fund. Other prominent investors include Accel and Andreessen Horowitz. With a remote-first culture and offices in San Francisco, Berlin, London, and other locations, Rasa is focused on expanding its market presence and advancing its technology. Keywords: conversational AI, AI agents, open source, virtual assistants, chatbots, natural language understanding, NLU, large language models, LLM, enterprise AI, Rasa Pro, CALM architecture, dialogue management, customer experience automation, financial services AI, healthcare AI, insurance AI, pro-code, low-code AI, on-premise AI, data security, AI development framework, Alexander Weidauer, Alan Nichol