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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.

Mission statement

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

Products & Services

Rasa Platform Platform

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

rasa.com
  • Agentic AI — Creates Adaptive Agents
  • CALM — Combines Flexibility with Control
  • Chat — Enables Layered Conversations
  • Enterprise RAG — Real-Time Data Retrieval
  • Custom Actions Server — Enables Custom Functionality
  • LLM Fine-Tuning Recipe — Facilitates Custom Model Development
  • PII Data Management — Ensures Data Privacy
  • MCP — Standardized API Access
  • Multilingual AI — Supports Multiple Languages
  • Channel Connectors — Integrate Seamlessly
  • Contextual Response Rephraser — Adapts Responses Dynamically
  • End-to-End Testing — Ensures Flow Integrity
  • Language-Agnostic NLU — Supports Multiple Languages
  • Multi-LLM Management — Manages Multiple Models Efficiently
  • Secrets Management Powered by Vault — Secures Sensitive Information
  • NLU — Flexible Natural Language Understanding
  • Orchestration — Unified User Support
  • Conversational Data Pipeline — Streamlines Data Management
  • Dependency Vulnerability Protection — Enhances Security
  • Enterprise Search — Improves Information Retrieval
  • Multi-Node Concurrency — Enhances Scalability
  • Voice — Enables Voice Interactions
  • Kubernetes Deployment Support — Enables Scalable Deployment
  • Observability — Improves System Monitoring

Rasa Open Source Platform

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

rasa.com/docs/pro/intro
  • Customization and Control — Customize AI Agents
  • Robustness Against Hallucination — Secure Maintenance
  • Scalable Integrations — Seamless Integrations
  • Multi-channel Support — Engage Across Channels

Rasa Enterprise Platform

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

  • Security and Compliance — Protects Sensitive Data.
  • Priority Support — Expedited Response Times.
  • Real-time Information Retrieval — Delivers Current Information.
  • Advanced Permission Management — Controls User Access.
  • Customizability & Extensibility — Tailors AI Behavior.
  • Multi-channel Integration — Unified Customer Experience.

Rasa Studio Product

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

www.rasa.com/studio
  • No-code AI assistant flow builder — Design Flows Visually
  • Content and response management system — Manage Responses
  • Conversation analytics — Analyze Conversations
  • Language and channel-specific answers management — Tailor Responses
  • Testing panel — Validate Assistant Logic
  • Open prompt editing — Edit Prompts Freely
  • Observe and rollback changes — Manage Changes Effectively
  • Role-based Access Control (RBAC) — Control User Access
  • Single Sign-On (SSO) — Streamline Access
  • Self-managed deployment — Deploy on Your Terms

Rasa Pro Product

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

rasa.com/rasa-pro-developer-edition-license-key-request
  • CALM Dialogue Understanding — Ensures Structured Conversations
  • Free Developer Access — Start Without Financial Commitment
  • Local Deployment Capability — Run On Your Own Infrastructure
  • Robust Training and Support — Gain Knowledge and Tools

Rasa X Community Edition Product

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

  • Last Free Version — Recognizes Release 1.1
  • No Updates — Ceases Maintenance Support
  • Upgrade Path — Encourages Upgrade

Rasa Developer Edition Product

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

www.rasa.com/rasa-pro-developer-edition-license-key-request
  • CALM Access — Utilize Advanced Flow Management

Market Segments

Billion USD 0 3 6 9 12 15 18 21 Conversational … Contact center … Agent orchestra… No-code assista… Market Size (Billion USD)
0% 3% 6% 9% 12% 15% 18% 21% 24% 27% 30% 33% 36% 39% 42% CAGR Growth Potential

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.

Market size: $11.0B CAGR: 22%
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

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.

Market size: $19.2B CAGR: 24%
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.
TH CL CA 3 references

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.

Market size: $5.8B CAGR: 32%
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

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.

Market size: $1.2B CAGR: 35%
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).
GL 1 reference

Related Organizations

Common Questions

What does Rasa Technologies Inc do?
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.
What is Rasa Technologies Inc's role in the Conversational AI platform market?
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.
What is Rasa Technologies Inc's role in the Contact center automation market?
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.
How was the Conversational AI platform market size estimate for Rasa Technologies Inc calculated?
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.
How was the Contact center automation market size estimate for Rasa Technologies Inc calculated?
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.
Rasa Technologies Inc — company overview