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AI agent platform with CALM deterministic dialogue logic
Updated
Rasa is an AI agent platform for product teams that build customer-facing chat and voice assistants. Its CALM approach lets an LLM interpret what users say while deterministic flows control what the agent actually does.
Engineers or product teams define business flows in Rasa Studio or in code, connect data sources and APIs (including through MCP), and choose their own LLM. At runtime the LLM interprets user input and the CALM engine executes the matching flow deterministically, so answers and actions stay within defined logic. Simulated conversations test agents before launch.
Rasa is used by enterprise product and engineering teams that need conversational agents with predictable behavior and control over where data and models run. Customers named by the vendor include Swisscom, BNP Paribas, Providence Health, N26 and Autodesk.
Rasa does not publish production prices and directs buyers to sales or a demo. A free Developer Edition license is available for building and testing, with limits on conversation volume. Enterprise licensing is quoted per deployment.
Alternatives include Botpress, which offers a hosted visual builder with a lower entry point, Cognigy, an enterprise contact-center automation platform, and Voiceflow, a collaborative design tool for conversational agents. Rasa is the pick when self-hosting and deterministic flow control matter most.
Pricing Model
QUOTE BASED
Starting Price
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Free Options
Free version
| Feature | Developer Edition | Custom |
|---|---|---|
| Free license for building and testing | , | |
| Capped monthly conversation volume | , | |
| Production licensing | , | |
| Enterprise support | , | |
| Quoted by sales | , |
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API Types
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
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