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: Freemium with paid plans starting from $35,000 per year for the Growth tier, while the Enterprise tier requires a custom quote for large-scale deployments.

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.