Rasa Technologies Inc Unclaimed
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/studioRasa Pro
Rasa Pro empowers developers to build robust AI assistants with extensive capabilities and control.
rasa.com/rasa-pro-developer-edition-license-key-requestRasa 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-requestMarket segments
Market size by segment
Growth potential (CAGR)
Conversational AI platform
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
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
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
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 AgentsEmpowers AI agents to proactively manage interactions, enhancing user experience during complex conversations.
- Combines Flexibility with ControlSupports advanced conversational AI that is both adaptable and predictable without reliance on LLMs.
- Enables Layered ConversationsFacilitates engaging and seamless dialogues by keeping track of user context and memory.
- Real-Time Data RetrievalEnsures that AI responses are current and contextually relevant, leveraging trusted data sources.
- Enables Custom FunctionalityAllows for the creation of custom actions, enhancing the AI assistant's functionality based on specific needs.
- Facilitates Custom Model DevelopmentOptimizes language models for better performance based on specific usage scenarios.
- Ensures Data PrivacySafeguards user data in compliance with privacy regulations.
- Standardized API AccessStreamlines how AI agents interact with various tools and services across platforms.
- Supports Multiple LanguagesEnhances user engagement by enabling AI interactions in various languages and cultural contexts.
- Integrate SeamlesslyFacilitates communication across multiple applications, ensuring a seamless user experience on various platforms.
- Adapts Responses DynamicallyAutomatically adjusts responses based on the context, improving conversation quality and relevance.
- Ensures Flow IntegrityValidates the functionality and performance of the assistant, ensuring a smooth user experience.
- Supports Multiple LanguagesEnables the platform to function in various languages, expanding its usability.
- Manages Multiple Models EfficientlyAllows simultaneous management of various LLMs, boosting flexibility and performance.
- Secures Sensitive InformationManages sensitive data securely, essential for enterprise applications.
- Flexible Natural Language UnderstandingAllows for tailored comprehension of user inputs, ensuring accurate responses aligned with business needs.
- Unified User SupportEffectively manages how different agents and resources collaborate to assist users efficiently.
- Streamlines Data ManagementEnsures efficient handling of data flows, critical for managing large volumes of interactions.
- Enhances SecurityMitigates risks associated with third-party dependencies, safeguarding the platform's integrity.
- Improves Information RetrievalFacilitates easy access to information, enhancing user support and satisfaction.
- Enhances ScalabilitySupports concurrent operations for better performance and resource utilization.
- Enables Voice InteractionsDelivers fast, reliable voice support, enabling natural conversations on voice platforms.
- Enables Scalable DeploymentSupports efficient and scalable deployment of applications using Kubernetes.
- Improves System MonitoringProvides 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 AgentsDevelopers can create tailored dialogue systems that adhere to unique business logic and user requirements.
- Secure MaintenanceRasa's architecture reduces risks associated with AI misbehavior, thus ensuring a dependable user experience.
- Seamless IntegrationsMCP facilitates straightforward connections between AI agents and various data sources, optimizing functionality.
- Engage Across ChannelsRasa 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 VisuallyCreate complex conversation pathways without writing code, allowing non-technical users to contribute effectively.
- Manage ResponsesCentralize and streamline the creation of responses to ensure consistent communication across interactions.
- Analyze ConversationsGain insights into user interactions to improve the conversational experience and operational efficiency.
- Tailor ResponsesCustomize responses according to the user's language preference and specific communication channel.
- Validate Assistant LogicEasily test and debug conversation logic to ensure reliable assistant performance.
- Edit Prompts FreelyAdjust conversational prompts dynamically to enhance user interactions based on feedback.
- Manage Changes EffectivelyTrack edits in real time and revert changes to maintain desired conversation flows.
- Control User AccessAssign permissions based on user roles to enhance security and management.
- Streamline AccessFacilitate user authentication across platforms with SSO capabilities.
- Deploy on Your TermsChoose 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 ConversationsIt allows for effective management of conversations by keeping them on topic and structured, which enhances user experience.
- Start Without Financial CommitmentBegin building and experimenting with Rasa tools without incurring any costs, with support for 1000 external conversations each month.
- Run On Your Own InfrastructureEnhance security by deploying Rasa Developer Edition on your own servers, maintaining complete control over your data.
- Gain Knowledge and ToolsBenefit 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 1.1Identifies the last version available at no cost, ensuring users are aware of the transition.
- Ceases Maintenance SupportEmphasizes the lack of ongoing support for the Community Edition, encouraging users to seek alternatives.
- Encourages UpgradeFacilitates 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 ManagementEmpower 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.
- The conversational AI market is driving enterprise transformation with 23.7% CAGR growth, reaching $41.39 billion by 2030
- 2025 Market Size: USD 14.79 Billion; CAGR: 21.00% from 2026–2034
- 2024 Market Size $12.75 Billion; CAGR (2025 - 2035) 22.3%
- The global conversational AI market size accounted for USD 19.21 billion in 2025; CAGR 23.24% between 2026–2035
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.
- The global contact center software market size was valued at USD 63.88 billion in 2025; CAGR of 16.50% (2026–2034).
- Cloud-based contact center market was valued at USD 20.9 billion in 2023; projected to USD 86.4 billion in 2029; CAGR 26.9%.
- Call centre market size (2025): USD 37.4 Billion; Forecast (2035): USD 76.4 Billion; CAGR (2025–2035): 7.4%.
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.
- The AI Agents market is projected to grow from USD 7.84 billion in 2025 to USD 52.62 billion by 2030, registering a CAGR of 46.3%.
- AI Orchestration Market was valued at USD 7.56 billion in 2023 and is expected to reach USD 42.98 billion by 2032, growing at a CAGR of 21.36%.
- Global AI-powered multi-agent orchestration market valued at $4.2 billion in 2025 and expected to reach $57.8 billion by 2034 at a CAGR of 38.5%.
- The global AI agents market size was reached at USD 7.13 billion in 2024 and is expected to be worth around USD 89.87 billion by 2034, growing at a CAGR of 43.98%.
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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