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Rasa

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uuid00029hy

Namestring
Rasa
Legal namestring
Rasa Technologies Inc.
Websiteurl
rasa.com
Company typeenum
Private
Founded yearint
2016
Descriptiontext

Rasa is a developer-first conversational AI platform that enables enterprises to build, deploy, and manage AI assistants across chat and voice channels. Founded in 2016 and headquartered in San Francisco with regional offices in Berlin and Edinburgh, Rasa operates as a private company with 101-250 employees and a fully remote workforce. The platform is anchored by CALM (Conversational AI with Language Models), a proprietary architecture that extends third-party LLMs (including GPT-4o, GPT-5.1, Anthropic, and open-source models) with structured flows, deterministic dialogue management, and built-in recovery patterns. Core modules include Rasa Chat (text/messaging), Rasa Voice (real-time voice with low-latency processing), Enterprise RAG (real-time knowledge retrieval from sources like Salesforce), multi-agent orchestration, MCP-based tool integration, and Multilingual AI. The product lineup spans Rasa Open Source (Apache 2.0), Rasa Pro (commercial subscription), and Rasa Studio (visual development environment), with a free Developer Edition and Hello Rasa trial feeding a product-led growth funnel.

Rasa generates revenue primarily through annual and multi-year commercial subscriptions for Rasa Pro, Rasa Studio, and Rasa Enterprise, with enterprise pricing starting at $35,000+ annually and scaling by deployment size and features. Professional services for deployment, configuration, training, and support represent a secondary revenue stream. The company sells through a hybrid enterprise field-sales motion combined with community-led and product-led growth, targeting Fortune 500 buyers in banking, telecom, healthcare, insurance, government, retail, and travel. Named enterprise customers include Deutsche Telekom, Swisscom, BNP Paribas, Autodesk, T-Mobile, Providence Health, N26, Groupe IMA, Albert Heijn, and ERGO Group. Rasa's strategic differentiation is its ability to deploy fully on-premises and in air-gapped environments with ISO 27002-aligned controls, GDPR compliance, and SOC2/HIPAA compliance via partners, positioning the company as the leading regulated-industry alternative to cloud-only conversational AI SaaS.

Rasa has raised approximately $70 million+ in venture funding, including a $30 million Series C in March 2025 co-led by StepStone Group and PayPal Ventures with participation from Andreessen Horowitz, Accel, and Basis Set Ventures. The company was recognized as a Strong Performer in The Forrester Wave: Conversational AI Platforms for Customer Service in Q2 2026, receiving highest possible scores in Resource Orchestration & Application Execution, Application Lifecycle Management, and Pricing Flexibility & Transparency. Leadership includes CEO Melissa Gordon, co-founder and CTO Alan Nichol (also Managing Director of the German entity), and co-founder and CSO Alex Weidauer.

Short descriptiontext

Rasa is a developer-first conversational AI platform that enables enterprises in banking, healthcare, telecom, insurance, and government to build and deploy AI assistants across chat and voice channels using its patented CALM architecture, with support for on-premises and air-gapped deployments.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
101–250
akta.pro rankint
HeadquartersSan Francisco, United States
HQ citystring
San Francisco
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices4 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
conversational AI platform, enterprise AI agents, dialogue management software, LLM orchestration framework, customer service automation
Industry4 codes
1AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI)
CodeHDAEANAIPrimaryYes
2Integration-Centric Low-Code (Workflow + iPaaS)
CodeHDAEAKACPrimaryNo
3iBPMS (Intelligent BPM Suites) & Process Automation Suites
CodeHDAEAHAGPrimaryNo
4iPaaS (Cloud Integration Platforms)
CodeHDAEAIABPrimaryNo
NAICS code3 codes
  • Software Publishers5132
  • Software Publishers513210
  • Custom Computer Programming Services541511
SIC code3 codes
  • Services-Prepackaged Software7372
  • Services-Computer Integrated Systems Design7373
  • Services-Computer Programming Services7371
Product category
Conversational AI Platform
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model2 records
1Commercial Software Subscriptions
TypeSubscription Recurring
Description

Annual and multi-year commercial subscriptions for Rasa Pro, Rasa Studio, and Rasa Enterprise products. Pricing varies by deployment scale and feature requirements. Enterprise deployments typically start at $35,000+ annually.

rasa.com
2Professional Services
TypeProfessional Services
Description

Expert team accelerates conversational AI journey including deployment, installation, configuration, training, and technical support services.

rasa.com
Marketing channels8 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Pricing details3 tiers
1Developer Edition - Free tier for developers to build and test
ModelFreemiumBilling cadenceMonthly
Notes

Free access to Rasa with CALM for developers. Includes access to product docs and learning center.

rasa.com
2Enterprise - Custom pricing for large organizations
ModelSubscriptionBilling cadenceAnnual
Notes

Custom pricing based on deployment requirements, scale, and feature needs. Annual and multi-year contract options available. Starting at $35,000+ annually for enterprise deployments.

rasa.com
3Professional Services - Implementation and support
ModelOtherBilling cadenceMulti-year contract
Notes

Additional fees for professional services including deployment, configuration, training, and dedicated support.

rasa.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 4 records shown
1Rasa Open Source
Description

Open-source framework for building conversational AI with NLU and dialogue management capabilities.

rasa.com
+3 more records
Core offering1 text field

Rasa is a developer-first conversational AI platform for enterprise customer service that extends LLMs with structured flows, deterministic logic, and built-in recovery patterns through its patented CALM (Conversational AI with Language Models) architecture. It sells commercial subscriptions to Rasa Pro and Rasa Studio alongside an open-source framework, with capabilities spanning chat, voice, NLU, enterprise RAG, multi-agent orchestration, and MCP-based tool integration. Deployments support on-premises, private cloud, and air-gapped environments for regulated industries.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 7 values shown
  • 50% cost reduction in operational expenses across enterprise deployments
+6 more records
Product overview1 text field

Rasa is a developer-first conversational AI platform for enterprise customer service, offering a platform-plus-modules architecture. The core Rasa Platform extends LLMs with structured flows, deterministic logic, and built-in recovery patterns through its patented CALM (Conversational AI with Language Models) technology. Key modules include Rasa Chat for text/messaging, Rasa Voice for real-time voice interactions, Enterprise RAG for knowledge retrieval, and Orchestration for multi-agent coordination. The product lineup includes Rasa Pro (commercial subscription), Rasa Open Source (Apache 2.0 licensed), Rasa Studio (visual development environment), and Rasa X/Enterprise (production management). Free tiers include Developer Edition and Hello Rasa trial. Rasa positions itself as the production-grade option for regulated environments requiring on-premises deployment and data sovereignty, differentiating from cloud-only SaaS competitors.

Product and service4 records
1Rasa Pro
CategoryCommercial AI Software
Description

Commercial subscription product for Rasa Open Source with professional support, extended maintenance, and additional enterprise features including the patented CALM architecture. Targeted at enterprises requiring production-grade conversational AI deployments with support and SLAs. Current version 3.17.x with quarterly release cadence.

2Rasa Studio
CategoryDeveloper Tools
Description

Visual development environment for building, testing, and refining conversational AI agents. Allows teams to design, test, and refine complex conversational logic while maintaining transparency and control over agent behavior. Sold as a commercial add-on to enterprise Rasa deployments. Current version 1.16.x.

3Rasa Open Source
CategoryOpen Source Software
Description

Open-source conversational AI framework for building chatbots and virtual assistants. Provides tools for Natural Language Understanding (NLU) and Dialogue Management. Licensed under Apache 2.0 and serves as the foundation for Rasa Pro.

4Rasa X/Enterprise
CategoryEnterprise AI Software
Description

Enterprise version of Rasa's conversation management tool for reviewing, improving, and deploying AI assistants in production environments. Version 1.4.x with end of software maintenance scheduled for December 2024.

Scale indicator9 records

Each record includes

Type, Value, Description, Source

Partnership1 partner
Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-03-27
Description

Cartesia selected as default voice provider for Rasa's enterprise platform. Integration combines Rasa's AI assistant capabilities with Cartesia's Sonic text-to-speech technology delivering 90ms time-to-first audio, 200+ ultra-realistic voices, and SOC2/HIPAA compliance. Targets enterprise customers including American Express, Adobe, and T-Mobile.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Enterprise conversational AI and agent platform targeting large organizations in banking, healthcare, and telecom. Competes head-to-head with Rasa in the same regulated-industry, on-prem-capable conversational AI category, with overlapping customers and similar pricing tiers.

TypeDirect peer
Description

Conversational and agentic AI platform focused on enterprise customer service automation, with strong presence in European telecom, financial services, and insurance. Directly comparable to Rasa in target verticals, deployment models, and conversational AI scope.

TypeDirect peer
Description

Enterprise conversational AI platform offering voice, chat, and agent capabilities across customer service and sales. Competes with Rasa on multi-modal AI agent deployment for large enterprises, with similar emphasis on LLM-augmented agent frameworks.

TypeDirect peer
Description

Nordic-headquartered enterprise conversational AI vendor with strong European banking, telecom, and insurance customer base. Directly comparable to Rasa in target verticals, on-prem deployment options, and regulated-industry positioning.

TypeDirect peer
Description

Enterprise AI platform combining conversational AI, search, and knowledge management for customer service automation. Competes with Rasa in similar enterprise verticals with comparable conversational agent functionality and deployment models.

TypeDirect peer
Description

Enterprise conversational AI and agent platform (formerly Amelia) targeting banking, insurance, and healthcare customers with on-prem and private cloud deployment. Directly comparable to Rasa in regulated-vertical positioning and agent-based AI offerings.

TypeBroad incumbent
Description

Cloud hyperscaler conversational AI offering within Google Cloud's broader enterprise AI/contact center portfolio. Competes with Rasa across use cases but lacks Rasa's on-prem/air-gapped deployment, making it a partial substitute rather than direct competitor in regulated verticals.

TypeBroad incumbent
Description

Enterprise conversational AI and agent builder within the Microsoft Power Platform and Copilot ecosystem. Competes with Rasa in customer service automation but bundles with broader Microsoft enterprise distribution, Dynamics, and Azure cloud services.

TypeBroad incumbent
Description

CRM-embedded conversational AI agents from Salesforce for customer service automation. Competes with Rasa in enterprise customer service but is positioned as part of the broader Service Cloud platform, with shallower standalone conversational capabilities.

TypeEmerging player
Description

Voice-first enterprise conversational AI company focused on customer service phone automation. Adjacent to Rasa's voice capabilities with meaningful overlap in voice agent use cases for enterprise contact centers, particularly telecom and financial services.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers13 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment7 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile4 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration10 records

Each record includes

Title, Type, Description, Source

AI capability11 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature8 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles8 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance5 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds5 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors13 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Rasa

Conversational AI Platformrasa.com

Rasa is a developer-first conversational AI platform that enables enterprises in banking, healthcare, telecom, insurance, and government to build and deploy AI assistants across chat and voice channels using its patented CALM architecture, with support for on-premises and air-gapped deployments.

What Rasa does

Rasa is a developer-first conversational AI platform that enables enterprises to build, deploy, and manage AI assistants across chat and voice channels. Founded in 2016 and headquartered in San Francisco with regional offices in Berlin and Edinburgh, Rasa operates as a private company with 101-250 employees and a fully remote workforce. The platform is anchored by CALM (Conversational AI with Language Models), a proprietary architecture that extends third-party LLMs (including GPT-4o, GPT-5.1, Anthropic, and open-source models) with structured flows, deterministic dialogue management, and built-in recovery patterns. Core modules include Rasa Chat (text/messaging), Rasa Voice (real-time voice with low-latency processing), Enterprise RAG (real-time knowledge retrieval from sources like Salesforce), multi-agent orchestration, MCP-based tool integration, and Multilingual AI. The product lineup spans Rasa Open Source (Apache 2.0), Rasa Pro (commercial subscription), and Rasa Studio (visual development environment), with a free Developer Edition and Hello Rasa trial feeding a product-led growth funnel.

Rasa generates revenue primarily through annual and multi-year commercial subscriptions for Rasa Pro, Rasa Studio, and Rasa Enterprise, with enterprise pricing starting at $35,000+ annually and scaling by deployment size and features. Professional services for deployment, configuration, training, and support represent a secondary revenue stream. The company sells through a hybrid enterprise field-sales motion combined with community-led and product-led growth, targeting Fortune 500 buyers in banking, telecom, healthcare, insurance, government, retail, and travel. Named enterprise customers include Deutsche Telekom, Swisscom, BNP Paribas, Autodesk, T-Mobile, Providence Health, N26, Groupe IMA, Albert Heijn, and ERGO Group. Rasa's strategic differentiation is its ability to deploy fully on-premises and in air-gapped environments with ISO 27002-aligned controls, GDPR compliance, and SOC2/HIPAA compliance via partners, positioning the company as the leading regulated-industry alternative to cloud-only conversational AI SaaS.

Rasa has raised approximately $70 million+ in venture funding, including a $30 million Series C in March 2025 co-led by StepStone Group and PayPal Ventures with participation from Andreessen Horowitz, Accel, and Basis Set Ventures. The company was recognized as a Strong Performer in The Forrester Wave: Conversational AI Platforms for Customer Service in Q2 2026, receiving highest possible scores in Resource Orchestration & Application Execution, Application Lifecycle Management, and Pricing Flexibility & Transparency. Leadership includes CEO Melissa Gordon, co-founder and CTO Alan Nichol (also Managing Director of the German entity), and co-founder and CSO Alex Weidauer.

Rasa firmographics

Firmographics
Name
Rasa
Legal name
Rasa Technologies Inc.
Website
https://rasa.com
Company type
Private
Founded year
2016
Operating status
Operating
Headcount range
101–250 employees
Short description
Rasa is a developer-first conversational AI platform that enables enterprises in banking, healthcare, telecom, insurance, and government to build and deploy AI assistants across chat and voice channels using its patented CALM architecture, with support for on-premises and air-gapped deployments.
Ownership category
akta.pro rank

Rasa industry classification

Industry
Product category
Conversational AI Platform
NAICS
Software Publishers (5132), Software Publishers (513210), Custom Computer Programming Services (541511)
SIC
Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373), Services-Computer Programming Services (7371)
akta.pro primary industry
AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI)
akta.pro secondary industries
Integration-Centric Low-Code (Workflow + iPaaS) (HDAEAKAC), iBPMS (Intelligent BPM Suites) & Process Automation Suites (HDAEAHAG), iPaaS (Cloud Integration Platforms) (HDAEAIAB)

Keywords

  • Conversational AI platform
  • Enterprise AI agents
  • Dialogue management software
  • LLM orchestration framework
  • Customer service automation

Where Rasa is headquartered

Location

Headquarters

HQ city
San Francisco
HQ country
United States
HQ region
North America

Offices4 records

Markets served

Rasa business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

  1. Commercial Software Subscriptions: Annual and multi-year commercial subscriptions for Rasa Pro, Rasa Studio, and Rasa Enterprise products. Pricing varies by deployment scale and feature requirements. Enterprise deployments typically start at $35,000+ annually.
  2. Professional Services: Expert team accelerates conversational AI journey including deployment, installation, configuration, training, and technical support services.

Pricing tiers

ModelBillingPrice
FreemiumMonthlyDeveloper Edition - Free tier for developers to build and test
SubscriptionAnnualEnterprise - Custom pricing for large organizations
OtherMulti-year contractProfessional Services - Implementation and support

Go-to-market motion3 records

Distribution channels3 records

Marketing channels8 records

Rasa product offering

Product offering

Core offering

Rasa is a developer-first conversational AI platform for enterprise customer service that extends LLMs with structured flows, deterministic logic, and built-in recovery patterns through its patented CALM (Conversational AI with Language Models) architecture. It sells commercial subscriptions to Rasa Pro and Rasa Studio alongside an open-source framework, with capabilities spanning chat, voice, NLU, enterprise RAG, multi-agent orchestration, and MCP-based tool integration. Deployments support on-premises, private cloud, and air-gapped environments for regulated industries.

Product overview

Rasa is a developer-first conversational AI platform for enterprise customer service, offering a platform-plus-modules architecture. The core Rasa Platform extends LLMs with structured flows, deterministic logic, and built-in recovery patterns through its patented CALM (Conversational AI with Language Models) technology. Key modules include Rasa Chat for text/messaging, Rasa Voice for real-time voice interactions, Enterprise RAG for knowledge retrieval, and Orchestration for multi-agent coordination. The product lineup includes Rasa Pro (commercial subscription), Rasa Open Source (Apache 2.0 licensed), Rasa Studio (visual development environment), and Rasa X/Enterprise (production management). Free tiers include Developer Edition and Hello Rasa trial. Rasa positions itself as the production-grade option for regulated environments requiring on-premises deployment and data sovereignty, differentiating from cloud-only SaaS competitors.

Differentiator

Problem solved

Functional benefit

Brands

  • Rasa Open Source: Open-source framework for building conversational AI with NLU and dialogue management capabilities.
  • Rasa Pro
  • Rasa Studio
  • CALM

Products and services

  • Rasa Pro Commercial subscription product for Rasa Open Source with professional support, extended maintenance, and additional enterprise features including the patented CALM architecture. Targeted at enterprises requiring production-grade conversational AI deployments with support and SLAs. Current version 3.17.x with quarterly release cadence.
  • Rasa Studio Visual development environment for building, testing, and refining conversational AI agents. Allows teams to design, test, and refine complex conversational logic while maintaining transparency and control over agent behavior. Sold as a commercial add-on to enterprise Rasa deployments. Current version 1.16.x.
  • Rasa Open Source Open-source conversational AI framework for building chatbots and virtual assistants. Provides tools for Natural Language Understanding (NLU) and Dialogue Management. Licensed under Apache 2.0 and serves as the foundation for Rasa Pro.
  • Rasa X/Enterprise Enterprise version of Rasa's conversation management tool for reviewing, improving, and deploying AI assistants in production environments. Version 1.4.x with end of software maintenance scheduled for December 2024.

Quantifiable outcome

  • 50% cost reduction in operational expenses across enterprise deployments
  • +6 more outcomes

Companies that use Rasa

Customer profile

Named customers13 records

Segments7 records

Ideal customer profiles4 records

Rasa technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration10 records

AI capability11 records

Feature8 records

Rasa partnerships and signals

Strategic signal

Partnerships

One partnership is on record.

  • CartesiacoreTechnology or Integration · 27 March 2026Cartesia selected as default voice provider for Rasa's enterprise platform. Integration combines Rasa's AI assistant capabilities with Cartesia's Sonic text-to-speech technology delivering 90ms time-to-first audio, 200+ ultra-realistic voices, and SOC2/HIPAA compliance. Targets enterprise customers including American Express, Adobe, and T-Mobile.

Scale indicators9 records

Recent moves6 records

Expansion highlights5 records

Rasa competitors and assessment

Company assessment

Direct peers

  • Kore.ai: Enterprise conversational AI and agent platform targeting large organizations in banking, healthcare, and telecom. Competes head-to-head with Rasa in the same regulated-industry, on-prem-capable conversational AI category, with overlapping customers and similar pricing tiers.
  • Cognigy: Conversational and agentic AI platform focused on enterprise customer service automation, with strong presence in European telecom, financial services, and insurance. Directly comparable to Rasa in target verticals, deployment models, and conversational AI scope.
  • Yellow.ai: Enterprise conversational AI platform offering voice, chat, and agent capabilities across customer service and sales. Competes with Rasa on multi-modal AI agent deployment for large enterprises, with similar emphasis on LLM-augmented agent frameworks.
  • boost.ai: Nordic-headquartered enterprise conversational AI vendor with strong European banking, telecom, and insurance customer base. Directly comparable to Rasa in target verticals, on-prem deployment options, and regulated-industry positioning.
  • Inbenta: Enterprise AI platform combining conversational AI, search, and knowledge management for customer service automation. Competes with Rasa in similar enterprise verticals with comparable conversational agent functionality and deployment models.
  • Amelia (SoundHound for Enterprise): Enterprise conversational AI and agent platform (formerly Amelia) targeting banking, insurance, and healthcare customers with on-prem and private cloud deployment. Directly comparable to Rasa in regulated-vertical positioning and agent-based AI offerings.

Broad incumbents

  • Google Dialogflow (Google Cloud): Cloud hyperscaler conversational AI offering within Google Cloud's broader enterprise AI/contact center portfolio. Competes with Rasa across use cases but lacks Rasa's on-prem/air-gapped deployment, making it a partial substitute rather than direct competitor in regulated verticals.
  • Microsoft Copilot Studio (formerly Bot Framework): Enterprise conversational AI and agent builder within the Microsoft Power Platform and Copilot ecosystem. Competes with Rasa in customer service automation but bundles with broader Microsoft enterprise distribution, Dynamics, and Azure cloud services.
  • Salesforce Einstein Bots / Agentforce: CRM-embedded conversational AI agents from Salesforce for customer service automation. Competes with Rasa in enterprise customer service but is positioned as part of the broader Service Cloud platform, with shallower standalone conversational capabilities.

Emerging players

  • PolyAI: Voice-first enterprise conversational AI company focused on customer service phone automation. Adjacent to Rasa's voice capabilities with meaningful overlap in voice agent use cases for enterprise contact centers, particularly telecom and financial services.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

Rasa social profiles

Digital presence

Rasa compliance and trust

Trust signal

Compliance5 records

Rasa financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Rasa leadership team

Management profile

Number of profiles

Profiles8 records

Rasa funding detail

Funding detail

Funding overview

Funding rounds5 records

Investors13 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Rasa M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Rasa

What does Rasa do?

Rasa is a developer-first conversational AI platform for enterprise customer service that extends LLMs with structured flows, deterministic logic, and built-in recovery patterns through its patented CALM (Conversational AI with Language Models) architecture. It sells commercial subscriptions to Rasa Pro and Rasa Studio alongside an open-source framework, with capabilities spanning chat, voice, NLU, enterprise RAG, multi-agent orchestration, and MCP-based tool integration. Deployments support on-premises, private cloud, and air-gapped environments for regulated industries.

Is Rasa a public or private company?

Rasa is a private company. It is classified as venture growth investor backed and is currently operating.

When was Rasa founded?

Rasa was founded in 2016. It employs 101 to 250 people.

Where is Rasa based?

Rasa is headquartered in San Francisco, United States, in the North America region.

How does Rasa make money?

Two revenue lines are on record. Commercial Software Subscriptions are the primary driver. The others are professional Services.

Who are Rasa's main competitors?

Direct peers on record are Kore.ai, Cognigy, Yellow.ai, boost.ai, Inbenta and Amelia (SoundHound for Enterprise). Broad incumbents are Google Dialogflow (Google Cloud), Microsoft Copilot Studio (formerly Bot Framework) and Salesforce Einstein Bots / Agentforce. PolyAI is listed as an emerging player.

Does Rasa have an API?

Yes. Rasa provides a public API and SDK for developers to build, manage, train, and optimize AI Assistants. The platform includes Rasa Open Source with Action Server SDK, Rasa Pro API, and Rasa Studio API. Built on open principles with full access to prompts, policies, and underlying codebase. Supports API access through Python SDK and HTTP API. Developer documentation is at www.rasa.com/docs.

What industry is Rasa in?

Rasa's product category is Conversational AI Platform. Its primary akta.pro industry code is HDAEANAI, AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI), with a secondary code of HDAEAKAC, Integration-Centric Low-Code (Workflow + iPaaS). Its NAICS code is 5132 and its SIC code is 7372.

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Live signals
Tracxn2026 Funding Rounds & List of InvestorsRasa has raised multiple funding rounds from 2018 to 2024, with the most recent being a $6.88M Series C in February 2024. The rounds include Series B and earlier, with lead investors such as Flyer One Ventures, Almaz Capital, and Andreessen Horowitz.TechnologyWhat is the best AI voice agent for businesses in 2026?This article is a buyers' guide comparing six AI voice agent platforms for businesses in 2026, organized by buyer segment: CloudTalk for growing SMB sales teams, Retell AI for developer-first engineering teams, PolyAI for Fortune 500 enterprise brands, Bland AI for high-volume outbound calling, Cognigy for enterprise contact centers, and Rasa Voice for developer teams with privacy requirements. The author argues that the AI voice agent market has fragmented into six distinct segments, each requiring a different platform choice based on team composition, integration stack, and use case.Guideflow10 best enterprise chatbot platforms for 2026 comparedThis article is a comparative buyer's guide evaluating 10 enterprise chatbot platforms for 2026 based on integration depth, security, AI agent capability, and measurable business impact. The platforms reviewed include Kore.ai, Cognigy (now part of NICE), LivePerson, Boost.ai, Freshworks, Rasa, Sprinklr, Drift (now under Salesloft), Enterprise Bot, and ChatBot.com, with pricing ranging from $9/user/month to custom enterprise quotes. The guide recommends different platforms for specific use cases: Drift for revenue and marketing teams, Cognigy for contact centers and voice, Rasa for data sovereignty, Boost.ai for regulated industries, and ChatBot.com for managed no-code builds.ParloaTop Voice AI for Post-Discharge Follow-Up Calls: 8 Enterprise ToolsThis article serves as an evaluation framework and buyer’s guide for healthcare organizations seeking voice AI tools to automate post-discharge patient follow-up calls, explaining how these tools conduct clinical check-ins, route high-risk cases to nurses, and write structured data back to EHRs. It outlines six critical governance dimensions enterprises must evaluate—HIPAA architecture, EHR write-back capability, CCaaS integration, multi-facility governance, outbound compliance, and multilingual coverage—while noting that CMS Hospital Readmissions Reduction Program penalties create financial incentive for effective post-discharge outreach. The article compares eight voice AI vendors (Parloa, Hippocratic AI, Hyro, Talkdesk Healthcare Experience Cloud, Prosper AI, Telnyx, Providertech, and Rasa) across compliance certifications, EHR integration, pricing models, and ideal use cases, with UHS cited as a named deployment reference for Hippocratic AI at two of its 29 acute care facilities as of June 2025.NetguruOpen Source Chatbot: Self-Host vs. SaaS Decision GuideThe article compares self-hosted open source chatbots, like Rasa Open Source, with SaaS chatbot platforms, discussing their compliance, cost, customization, and operational considerations. It provides guidance on decision-making criteria for choosing the appropriate solution, highlighting trade-offs in data sovereignty, total cost of ownership, customization depth, and engineering capacity.Rasa10 Best AI Agent Orchestration Tools in 2026This article is a buyer's guide comparing ten AI agent orchestration tools for enterprise use, authored by Rasa, a production-grade orchestration platform vendor. The guide explains three dominant orchestration patterns (sequential, hierarchical, and swarm), discusses protocols like MCP and A2A, and presents Deutsche Telekom as a case study achieving 50% independent service desk inquiry resolution with 30% reduction in human agent needs. Rasa positions itself as the production-grade option for regulated environments while acknowledging competitors like LangGraph, CrewAI, OpenAI Agents SDK, and Microsoft Agent Framework.Botpress10 Best Customer Service Chatbot Platforms (2026)This article is a buyer's guide comparing 10 enterprise customer service chatbot platforms: Botpress, Rasa, Google Dialogflow CX, IBM Watson Assistant, Amazon Lex, Microsoft Bot Framework, Kore.ai, Cognigy, Yellow.ai, and Ada. The comparison evaluates platforms across dimensions including build effort, pricing model, deployment flexibility, LLM compatibility, and enterprise compliance features. Platforms range from open-source frameworks like Rasa (developer-led, free core) to no-code solutions like Ada (CX-team owned), with pricing varying from usage-based models to opaque enterprise contracts.YahooRasa Recognized as a Strong Performer in the Forrester Wave™: Conversational AI Platforms For Customer ServiceRasa was recognized as a Strong Performer in The Forrester Wave™: Conversational AI Platforms For Customer Service, Q2 2026, highlighting its enterprise-first approach and deployment capabilities. The evaluation praised Rasa's focus on data sovereignty, resource orchestration, and application lifecycle management.PR NewswireRasa Recognized as a Strong Performer in the Forrester Wave™: Conversational AI Platforms For Customer ServiceRasa, the developer-first conversational AI platform for enterprise customer service, has been recognized as a Strong Performer in The Forrester Wave: Conversational AI Platforms For Customer Service, Q2 2026. The evaluation highlighted Rasa's differentiated approach to enterprise conversational AI, including its on-premises deployment model and strong support for data sovereignty and customer data protection. Rasa also received the highest possible scores in resource orchestration, application execution, application lifecycle management, and pricing flexibility and transparency.