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Rasa funding, valuation and investors
Open-source conversational AI and enterprise agent platform for customer automation.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Series C
$30M · 2024
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$56M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
growth · Berlin, Germany
Investors in latest funding
Other: Andreessen Horowitz
Overview
Rasa Technologies builds open-source and enterprise conversational AI software for building contextual AI assistants and agents. Founded in Berlin by Alan Nichol and Alex Weidauer, Rasa's CALM (Conversational AI with Language Models) framework lets enterprises deploy LLM-powered assistants with control over data, models, and deployment. The company raised a $26M Series B led by Andreessen Horowitz in 2020, with Martin Casado joining the board, and a $30M Series C in 2024 co-led by StepStone and PayPal Ventures. Rasa serves healthcare, banking, and insurance customers needing on-premise or private-cloud deployment — a differentiator vs cloud-only competitors. Millions of developers use its open-source framework.
Why Rasa is interesting
One of the largest OSS conversational-AI communities — a16z bet on self-hosted NLP when most competitors pushed cloud-only chatbots.
Product & use cases
Rasa provides open-source and enterprise conversational AI tools including CALM for LLM-powered assistants, Rasa Pro for production deployment, and Rasa Studio for conversation design.
- Enterprise customer service chatbots with on-premise deployment
- Healthcare and banking AI assistants with regulatory data requirements
- Open-source conversational AI development for developers
Key facts
- Series B (2020): $26M led by a16z; Martin Casado joined board
- Series C (2024): $30M co-led by StepStone and PayPal Ventures
- Open-source framework used by millions of developers
- Enterprise customers in healthcare, banking, and insurance
Funding history (newest first)
Series C
2024 $30MInvestors in our directory
Funds linked from Rasa's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Open-source roots with enterprise deployment flexibility (on-prem, private cloud). Regulated industries choose Rasa over cloud-only Dialogflow or Lex for data sovereignty.
Enterprise conversational AI splits between cloud-managed (Dialogflow, Copilot Studio) and deploy-anywhere (Rasa, Cognigy). Rasa's open-source community provides developer adoption; enterprise revenue comes from regulated industries needing data control. LLM integration via CALM keeps Rasa relevant as the market shifts from intent-based to generative bots.
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Google Dialogflow incumbent
Cloud-only Google conversational AI; simpler setup but less deployment control.
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Microsoft Copilot Studio incumbent
Enterprise bot builder in Microsoft ecosystem; less open-source flexibility.
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Cognigy direct
Enterprise conversational AI with similar regulated-industry focus; also European-based.
Notable stories
- Martin Casado, a16z general partner and Nicira founder, joined Rasa's board alongside the 2020 Series B, signaling enterprise infrastructure conviction (PR Newswire).
- Rasa pivoted from intent-based NLU to CALM (Conversational AI with Language Models) to stay relevant in the LLM era.
Industries
Related funding articles
Venture Capital Tracker pieces that cover Rasa's financing or category context.
FAQs about Rasa
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