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Rasa

AI · San Francisco, United States · Founded 2016

Conversational AI platform for enterprise virtual assistants. MoreLess

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

Valuation $100–500M
Revenue $10–50M
Headcount 100–500
Total funding $50–100M
Unlock exact values This page shows ranges. Dealroom has the exact numbers for Rasa and the history behind them.

Talent graph

Rasa's talent

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Employees mapped 180 incl. 8 AI specialists
Founders Hidden — book a demo/100 quality score
Key operators 13 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Investors

13 investors on Rasa's cap table

Sourced from Dealroom's funding history. Investor profile links are shown where available.

Seed 5 investors entered at this stage
Techstars
Salisbury Ventures
Steffen Hoellinger
Basis Set Ventures
Julian Weisbrod
Series A 6 investors entered at this stage
Accel
Mitchell Hashimoto
Mango Capital
Greg Brockman
Andreessen Horowitz
468 Capital
Series B+ 2 investors entered at this stage
StepStone Group
PayPal Ventures

Global footprint

Where Rasa has talent and traffic

Workforce by country
🇺🇸 United States · San Francisco HQ
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Web traffic by country
120K monthly visits
across markets
🇮🇳 India9.9%
🇺🇸 United States8.5%
🇳🇬 Nigeria4.5%
🇨🇦 Canada3.7%
🇸🇬 Singapore3.6%
Top 5 markets shown

Market sentiment

What the market is saying about Rasa

An AI-synthesized read of the highest-engagement posts about Rasa on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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