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Build trustworthy AI agents for real-world complexity with full control over behavior and performance.

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Reviews onG2
11 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Provides full control and visibility over AI agent behavior, avoiding black-box issues.

Biggest con

Requires significant technical expertise for advanced pro-code development and fine-tuning.

TL;DR - Rasa

  • Builds reliable AI agents by extending LLMs with custom business logic.
  • Offers complete control over agent behavior, performance, and deployment.
  • Supports both pro-code and no-code development for scalable conversational AI.
Pricing: Free plan available
Best for: Growing teams
4.0/5 across review platforms

What is Rasa?

Editorial review
Rasa is a platform for building, deploying, and managing reliable AI agents that extend Large Language Models (LLMs) with business logic. It is designed for enterprises seeking to automate customer, sales, and employee experiences across millions of conversations while maintaining full control over the AI's behavior and performance. The platform offers a flexible development experience suitable for both technical and business teams, allowing for visual or code-based agent creation. Rasa's core value lies in its ability to provide predictable and scalable AI automation. It allows organizations to integrate AI agents with existing systems, handle complex logic, and deploy solutions on-premises, in their infrastructure, or through managed partners. The platform emphasizes high-trust agents that deliver measurable results, such as reduced operational costs, improved goal completion rates, and consistent customer satisfaction.

Available on: Web

Pros & Cons

Pros

  • Provides full control and visibility over AI agent behavior, avoiding black-box issues.
  • Designed for performance at scale, optimizing LLM usage for cost-efficiency.
  • Highly customizable and integrates with existing business systems and infrastructure.
  • Supports both pro-code development for technical users and no-code for business users.
  • Offers robust enterprise-grade security features and deployment options.

Cons

  • Requires significant technical expertise for advanced pro-code development and fine-tuning.
  • Enterprise features and premium support are behind a contact sales gate, lacking transparent pricing.
  • The Free Developer Edition has limitations on external and internal conversations per month.

Ratings Across the Web

4(11 reviews)

Ratings aggregated from independent review platforms. Learn more

Preview

Key Features

CALM (Conversational AI with Language Models) dialogue understanding and managementLanguage-agnostic natural language understandingBuilt-in Voice, IVR, and omnichannel support (text, messaging, web, mobile)No-code AI assistant flow builder (Rasa Studio)LLM fine-tuning and multi-LLM managementEnterprise search and contextual response rephraserKubernetes deployment support through HelmEnd-to-end testing and PII data management

Pricing Plans

Pricing checked Jul 12, 2026

Free Developer Edition

Free

  • Free Rasa license
  • One bot per company
  • Up to 1000 external conversations/month or 100 internal conversations/month
  • Free community support in our forum

Enterprise

Contact sales

  • Full access to Rasa Platform
  • Premium Support
  • Large scale deployment
  • Increased automation rates with pre-built enterprise security features

Rasa Pro

Contact sales

  • Pro-code generative AI native conversational AI framework
  • CALM (Conversational AI with Language Models) dialogue understanding and management
  • Language-agnostic natural language understanding
  • Enterprise search
  • Contextual response rephraser
  • Custom actions server (Rasa SDK)
  • Channel connectors (REST and WebSocket)
  • Kubernetes deployment support through Helm

Rasa Pro + Rasa Studio

Contact sales

  • Everything in Rasa Pro
  • No-code AI assistant flow builder
  • Try your assistant testing panel
  • Content and response management system
  • Manage language and channel specific answers
  • Observe and rollback changes
  • Save changes directly in the UI
  • Conversation view to analyse conversations

Reviews

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4.0/5

Across 11 verified user reviews on G2

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Rasa FAQ

How does Rasa help automate customer service?

Rasa enables the creation of reliable AI agents that can automate customer experiences across millions of conversations. It allows businesses to integrate these AI agents with existing systems to handle complex logic and improve goal completion rates.

Which teams benefit most from using Rasa?

Rasa is suitable for both technical and business teams due to its flexible development experience. Technical users can leverage pro-code development, while business users can utilize visual agent creation tools.

How does Rasa compare to LangChain for building AI agents?

Rasa provides full control and visibility over AI agent behavior, emphasizing predictable and scalable AI automation. It is designed for enterprises to deploy solutions on-premises or within their infrastructure, offering robust security features.

What kind of limitations should users be aware of with Rasa?

Advanced pro-code development and fine-tuning within Rasa require significant technical expertise. Additionally, the Free Developer Edition has limitations on the number of external and internal conversations per month.

How is Rasa priced?

Rasa offers a free developer tier with limitations on usage. Paid plans are available for increased usage and access to more features, though enterprise features and premium support require contacting sales.

Can Rasa agents be integrated with existing business systems?

Yes, Rasa is highly customizable and designed to integrate with existing business systems and infrastructure. This allows organizations to extend Large Language Models (LLMs) with their specific business logic.

How does Rasa ensure control over AI agent behavior?

Rasa provides full control and visibility over AI agent behavior, helping to avoid black-box issues. This allows enterprises to manage and optimize LLM usage for cost-efficiency and consistent performance.

Source: rasa.com

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