Rasa

Rasa is a conversational AI platform for enterprise teams and developers building AI agents for customer support, sales, and internal helpdesk workflows that require control over behavior and performance.

Key capabilities include:

• NLU (intent and entity understanding) for intent recognition, entity extraction, multilingual support, and handling complex user inputs.
• Dialogue management with CALM to combine structured flows with deterministic logic, conversation tracking, stories, rules, and recovery patterns.
• Visual and code-first development using Rasa Studio for no-code flow building (convertible into deployable code) alongside Python-based customization.
• Omnichannel deployment and integrations across web, mobile, messaging apps (including Slack, WhatsApp, and Microsoft Teams) and voice via Voice Gateway, plus API and backend/CRM/database connections through custom actions.

Pricing: Unknown.

Notable for combining open source foundations (Rasa Open Source has over 25 million downloads) with enterprise capabilities in Rasa Pro, including analytics, security, and observability, plus flexible deployment options (on-premise, cloud, Kubernetes, Docker) for teams that need ownership and transparency rather than black-box agent behavior.