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Rasa Technologies Inc Unclaimed

AI platforms

rasa.com

San Francisco, California, United States

Rasa provides enterprise-grade, privacy-conscious conversational AI to automate and scale customer experiences.

Rasa is an enterprise-grade conversational AI platform that helps organizations design, deploy, and govern AI-powered assistants with strong data control, security, and multi-channel capabilities. It serves industries including finance, retail, healthcare, and government, enabling automated customer interactions, real-time information access, and scalable orchestration of AI agents and tools. The platform emphasizes accuracy, customization, compliance, and control, supporting production deployments that handle high volumes while protecting data and privacy. Analysts have recognized Rasa as a leading platform for mission-critical customer service and voice AI.

Rasa's mission is to empower enterprises to build reliable, scalable, privacy-conscious conversational AI that improves customer experiences and drives operational efficiency.

What we offer

Rasa Platform

Rasa Platform empowers organizations to create and manage advanced AI assistants for optimal customer engagement.

rasa.com/

Rasa Open Source

Build sophisticated conversational AI agents with Rasa Open Source's flexible, robust framework.

rasa.com/docs/pro/intro/

Rasa Enterprise

Enables enterprises to build reliable, scalable AI assistants with comprehensive support and security.

Rasa Studio

Empower teams to create conversational agents without coding expertise using Rasa Studio.

www.rasa.com/studio

Rasa Pro

Rasa Pro empowers developers to build robust AI assistants with extensive capabilities and control.

rasa.com/rasa-pro-developer-edition-license-key-request

Rasa X Community Edition

Rasa X Community Edition is a free tool for building conversational AI, now without future updates.

Rasa Developer Edition

Facilitate seamless development of AI assistants with free access to Rasa's robust platform.

www.rasa.com/rasa-pro-developer-edition-license-key-request

Market segments

Market size by segment

Growth potential (CAGR)

Conversational AI platform

11 Billion USD22% CAGR

Platforms that combine deterministic dialogue management, NLU, multi‑LLM management, real‑time retrieval (RAG), observability, and enterprise security to build and run production-grade virtual assistants across channels.

Contact center automation

19.2 Billion USD24% CAGR

Capabilities that automate voice and chat customer support workflows, enable real‑time information retrieval for agents and customers, and integrate with contact center channels and telephony for call deflection and issue resolution.

Agent orchestration and integrations

5.8 Billion USD32% CAGR

Frameworks and runtimes that coordinate multiple AI agents, tools, and backend APIs (MCP), provide orchestration, secrets and PII management, and support multi‑node scalable deployments for complex, tool-enabled assistants.

No-code assistant design and management

1.2 Billion USD35% CAGR

Interfaces for business users to design, test, analyze, and manage conversational flows, responses, and content with role‑based access and deployment controls to accelerate non‑developer assistant configuration and governance.

More information about our offering

Rasa Platform

Rasa Platform is an enterprise-grade platform for designing, deploying, and governing AI-powered assistants. It combines deterministic logic with flexible language models, real-time information access via Enterprise RAG, memory-enabled chat, NLU, multilingual support, voice, and orchestration of tools. It provides a standard mechanism (MCP) for AI agents to access tools and APIs, enabling scalable, secure production deployments across industries.

  • Creates Adaptive Agents
    Empowers AI agents to proactively manage interactions, enhancing user experience during complex conversations.
  • Combines Flexibility with Control
    Supports advanced conversational AI that is both adaptable and predictable without reliance on LLMs.
  • Enables Layered Conversations
    Facilitates engaging and seamless dialogues by keeping track of user context and memory.
  • Real-Time Data Retrieval
    Ensures that AI responses are current and contextually relevant, leveraging trusted data sources.
  • Enables Custom Functionality
    Allows for the creation of custom actions, enhancing the AI assistant's functionality based on specific needs.
  • Facilitates Custom Model Development
    Optimizes language models for better performance based on specific usage scenarios.
  • Ensures Data Privacy
    Safeguards user data in compliance with privacy regulations.
  • Standardized API Access
    Streamlines how AI agents interact with various tools and services across platforms.
  • Supports Multiple Languages
    Enhances user engagement by enabling AI interactions in various languages and cultural contexts.
  • Integrate Seamlessly
    Facilitates communication across multiple applications, ensuring a seamless user experience on various platforms.
  • Adapts Responses Dynamically
    Automatically adjusts responses based on the context, improving conversation quality and relevance.
  • Ensures Flow Integrity
    Validates the functionality and performance of the assistant, ensuring a smooth user experience.
  • Supports Multiple Languages
    Enables the platform to function in various languages, expanding its usability.
  • Manages Multiple Models Efficiently
    Allows simultaneous management of various LLMs, boosting flexibility and performance.
  • Secures Sensitive Information
    Manages sensitive data securely, essential for enterprise applications.
  • Flexible Natural Language Understanding
    Allows for tailored comprehension of user inputs, ensuring accurate responses aligned with business needs.
  • Unified User Support
    Effectively manages how different agents and resources collaborate to assist users efficiently.
  • Streamlines Data Management
    Ensures efficient handling of data flows, critical for managing large volumes of interactions.
  • Enhances Security
    Mitigates risks associated with third-party dependencies, safeguarding the platform's integrity.
  • Improves Information Retrieval
    Facilitates easy access to information, enhancing user support and satisfaction.
  • Enhances Scalability
    Supports concurrent operations for better performance and resource utilization.
  • Enables Voice Interactions
    Delivers fast, reliable voice support, enabling natural conversations on voice platforms.
  • Enables Scalable Deployment
    Supports efficient and scalable deployment of applications using Kubernetes.
  • Improves System Monitoring
    Provides insights into system performance to facilitate proactive management.

Rasa Open Source

Rasa Open Source is the go-to developer framework for conversational AI and an essential component of Rasa’s enterprise platform.

  • Customize AI Agents
    Developers can create tailored dialogue systems that adhere to unique business logic and user requirements.
  • Secure Maintenance
    Rasa's architecture reduces risks associated with AI misbehavior, thus ensuring a dependable user experience.
  • Seamless Integrations
    MCP facilitates straightforward connections between AI agents and various data sources, optimizing functionality.
  • Engage Across Channels
    Rasa ensures consistent user experiences regardless of the platform, whether chat, voice, or other interfaces.

Rasa Enterprise

Rasa Enterprise is the edition designed for large organizations, providing essential features to manage and tune digital assistants with enterprise-grade security and support.

  • Protects Sensitive Data.
    Adheres to industry standards for securing data, ensuring compliance with regulations.
  • Expedited Response Times.
    Provides fast-track assistance for urgent issues, minimizing downtime.
  • Delivers Current Information.
    Equips assistants with up-to-date answers pulled from trusted data sources instantly.
  • Controls User Access.
    Ensures that only authorized personnel can access specific functionalities, enhancing data security.
  • Tailors AI Behavior.
    Supports unique workflows and customer interactions through adaptable configurations.
  • Unified Customer Experience.
    Enables seamless user engagement regardless of the platform they choose.

Rasa Studio

Rasa Studio is a no-code user interface for business users to build, analyze, and optimize AI assistants. It provides a visual flow builder, testing panel, content and response management, and controls for language and channel-specific answers within deployment-ready environments.

  • Design Flows Visually
    Create complex conversation pathways without writing code, allowing non-technical users to contribute effectively.
  • Manage Responses
    Centralize and streamline the creation of responses to ensure consistent communication across interactions.
  • Analyze Conversations
    Gain insights into user interactions to improve the conversational experience and operational efficiency.
  • Tailor Responses
    Customize responses according to the user's language preference and specific communication channel.
  • Validate Assistant Logic
    Easily test and debug conversation logic to ensure reliable assistant performance.
  • Edit Prompts Freely
    Adjust conversational prompts dynamically to enhance user interactions based on feedback.
  • Manage Changes Effectively
    Track edits in real time and revert changes to maintain desired conversation flows.
  • Control User Access
    Assign permissions based on user roles to enhance security and management.
  • Streamline Access
    Facilitate user authentication across platforms with SSO capabilities.
  • Deploy on Your Terms
    Choose deployment methods that fit your organizational needs, whether on-premises or in a private cloud.

Rasa Pro

Rasa Pro is the pro-code, native framework that developers use to build, integrate, monitor, and deploy AI assistants at scale. It extends CALM with developer-focused tooling, security, and multi-LLM support, and includes features designed for enterprise-grade performance.

  • Ensures Structured Conversations
    It allows for effective management of conversations by keeping them on topic and structured, which enhances user experience.
  • Start Without Financial Commitment
    Begin building and experimenting with Rasa tools without incurring any costs, with support for 1000 external conversations each month.
  • Run On Your Own Infrastructure
    Enhance security by deploying Rasa Developer Edition on your own servers, maintaining complete control over your data.
  • Gain Knowledge and Tools
    Benefit from extensive documentation, tutorials, and community forums to accelerate your learning and project implementation.

Rasa X Community Edition

Rasa X Community Edition (Free Version) is the free edition of Rasa X. The release 1.1 is the last free version and will not receive new bug fixes, security updates, or patches; upgrading to Rasa Enterprise is encouraged for continued support and features.

  • Recognizes Release 1.1
    Identifies the last version available at no cost, ensuring users are aware of the transition.
  • Ceases Maintenance Support
    Emphasizes the lack of ongoing support for the Community Edition, encouraging users to seek alternatives.
  • Encourages Upgrade
    Facilitates transition for users interested in advanced features and support through Rasa Enterprise.

Rasa Developer Edition

The Rasa Developer Edition is free and provides developers with access to Rasa, including CALM functionality for experimentation and local development.

  • Utilize Advanced Flow Management
    Empower your projects with CALM, allowing simplified management of complex conversational flows.

References

Methodology and sourcing behind the figures shown above.

Conversational AI platform

Multiple market reports in the searchResults place the overall conversational AI market between roughly $12.8B and $19.2B (2024–2025) with projected CAGRs ~21–23.7% through the 2026–2035 window. The requested segment (enterprise-grade conversational AI platforms) represents a majority portion of software and platform spend within the broader market (estimated ~60–70% of total conversational AI revenue). Using the mid-point of reported total-market values (~$15–16B for 2025) and assuming platforms capture ~65% of that spend yields an estimated platform market size ≈ $11B today. Growth potential is aligned with reported overall market CAGRs, so estimated platform CAGR ≈ 22% per year.

Contact center automation

Estimation draws on related market figures in the provided results. Fortune Business Insights values the broader contact center software market at USD 63.88B (2025) with a 16.5% CAGR (2026–2034). MarketsandMarkets reports the cloud-based contact center market at USD 20.9B (2023) with a 26.9% CAGR (2023–2029). Future Market Insights places the wider call centre market at USD 37.4B (2025) with a 7.4% CAGR (2025–2035). ‘‘Contact center automation’’ is a subset focused on AI/self‑service/agent assist capabilities; assuming automation represents roughly 25–35% of contact center software spend, the 2025 market is estimated at ~USD 19.2B. Growth is projected above the overall software CAGR (16.5%) but near high‑growth cloud/AI segments, so a projected CAGR of ~24% is used, reflecting rapid AI-enabled adoption shown in the cloud-based and automation-focused forecasts.

Agent orchestration and integrations

Estimated 2025 market size (~$5.8B) for agent orchestration and integrations is a midpoint between orchestration-specific reports (MarketIntelo $4.2B in 2025; SNSInsider $7.56B 2023) and broader AI agents forecasts (MarketsandMarkets, LinkedIn). Chosen CAGR (32%) reflects the range observed across sources (≈21%–46%), leaning toward faster growth seen in multi-agent/orchestration forecasts while moderating for narrower scope and definitional differences.

No-code assistant design and management

Estimated by using the Global No-Code AI Platform market (USD 4.7B in 2024; CAGR 37.5%) as the primary proxy and attributing a ~25% share to the narrower no-code assistant design & management subsegment (common use-case concentration for conversational/text modalities). Growth potential is aligned with the platform-level CAGR (adjusted slightly downward to reflect competitive consolidation and integration with broader enterprise automation).

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