List of Rasa AI Platform Customers
Rasa Technologies
4 Embarcadero Center, Suite 1400,
San Francisco, 94111-4164, CA,
United States
San Francisco, 94111-4164, CA,
United States
1 801-712-8730
Professional Services
134
$13M
Since 2010, our global team of researchers has been studying Rasa AI Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Rasa AI Platform for Chatbots and Conversational AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Rasa AI Platform for Chatbots and Conversational AI include: Otto Group, a Germany based Retail organisation with 41186 employees and revenues of $117.63 billion, ERGO Group, a Germany based Insurance organisation with 27951 employees and revenues of $24.21 billion, Helvetia Group, a Switzerland based Insurance organisation with 14104 employees and revenues of $10.17 billion, Raiffeisen Bank Romania, a Romania based Banking and Financial Services organisation with 5047 employees and revenues of $1.10 billion, Helvetia Versicherungen Deutschland, a Germany based Insurance organisation with 750 employees and revenues of $325.0 million and many others.
Contact us if you need a completed and verified list of companies using Rasa AI Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Artificial Intelligence software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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ERGO Group | Insurance | 27951 | $24.2B | Germany | Rasa | Rasa AI Platform | Chatbots and Conversational AI | 2018 | n/a |
In 2018, ERGO Group deployed the Rasa AI Platform to introduce conversational automation within its customer service organization, under the Chatbots and Conversational AI category. The deployment established an initial automation framework focused on agent assist and automated handling of common inquiries.
The implementation began with an extensive analysis of thousands of real customer service conversations to identify discrete skills and intents, a process that informed the platform configuration and dialog policies. ERGO configured Rasa AI Platform capabilities for intent identification, skill mapping, and response suggestion to enable the system to propose answers to agents while incrementally increasing automation scope. A 12 week training phase with live agents refined the models and improved suggestion accuracy.
Operational coverage centered on customer service workflows where the platform immediately provided AI suggested responses to reduce response time and increase resource availability. The program was staged so the platform first supported agents and laid the framework to automate over 30 percent of customer requests before proceeding toward broader automation.
Governance emphasized an iterative rollout with supervised training and continuous monitoring of suggested answers, using conversation analysis to prioritize skills and manage scope. The Rasa AI Platform integration into ERGO Group customer service combined machine learning based intent handling, dialog orchestration, and agent assist capabilities to modernize conversational handling.
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Helvetia Group | Insurance | 14104 | $10.2B | Switzerland | Rasa | Rasa AI Platform | Chatbots and Conversational AI | 2017 | n/a |
In 2017, Helvetia Group implemented Rasa AI Platform. Helvetia used Rasa AI Platform in the Chatbots and Conversational AI category to build an AI assistant that offers insurance policies to customers over text messages, and the deployment was performed on prem to maintain data control.
The implementation combined Rasa’s graphical user interface from the suite of premium tools with tailored conversation design and natural language understanding workflows, enabling the assistant to consider user context and interpret free text. Non technical team members used the GUI to refine dialogue flows and train the assistant on real user data, while the project lead developer modified the underlying machine learning models to improve customized accuracy for insurance specific intents and entities.
Operationally the deployment supported customer facing channels via text messaging and involved cross functional contributors from customer engagement and development teams, aligning policy offering workflows with conversational intents. Governance centered on iterative training with production data and developer led model tuning, and the result included improved customized accuracy and a contained on prem deployment model.
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Helvetia Versicherungen Deutschland | Insurance | 750 | $325M | Germany | Rasa | Rasa AI Platform | Chatbots and Conversational AI | 2017 | n/a |
In 2017, Helvetia Versicherungen Deutschland implemented the Rasa AI Platform for Chatbots and Conversational AI to deliver an AI assistant capable of offering insurance policies to customers via text message. The deployment focused on conversational NLU and dialogue management, enabling natural language engagement and context aware conversations for customer facing interactions.
The implementation used Rasa AI Platform components for intent and entity extraction, contextual slot management, and dialogue policies to model multi turn conversational flows. Rasa X’s graphical user interface was used to expose conversation review and training workflows to non technical team members, allowing product and service staff to annotate real user conversations and improve the assistant without writing code. The project also included model customization, where Helvetia’s lead developer tweaked machine learning models for the insurer’s specific vocabulary and use cases, a technical adjustment that improved classification accuracy.
The assistant was deployed on premise to satisfy German data privacy requirements, keeping conversational data and model training artifacts within the company controlled environment. Operational scope centered on customer engagement and policy offering workflows delivered over text message, aligning the Rasa AI Platform with sales and service functions. Governance combined developer led model tuning with business user driven data labeling and iterative retraining, formalizing a feedback loop between live conversations and continuous model improvement.
The implementation narrative emphasizes the Rasa AI Platform for Chatbots and Conversational AI as a tightly controlled, on premise conversational solution, with Rasa X enabling cross functional participation in training and the lead developer applying targeted model adjustments, resulting in improved model accuracy for Helvetia’s insurance policy conversations.
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Otto Group | Retail | 41186 | $117.6B | Germany | Rasa | Rasa AI Platform | Chatbots and Conversational AI | 2020 | n/a |
In 2020, Otto Group implemented Rasa AI Platform for Chatbots and Conversational AI. The initiative was introduced internally via a base.camp talk on May 28, 2020 that combined a corporate overview of chatbots with a practice-oriented introduction to Rasa AI Platform led by Otto's machine learning and NLP experts.
The Rasa AI Platform deployment at Otto Group focuses on core conversational capabilities typical of the Chatbots and Conversational AI category, including natural language understanding pipelines, intent classification and entity extraction, dialogue management with policy-driven flows, and custom action handling for backend orchestration. Configuration work emphasized NLU training sets, conversation policy tuning, and intent lifecycle management for improving UX and machine learning model performance. The narrative specifically highlights the use of Rasa AI Platform as an open-source conversational AI stack in Otto’s technical approach.
Operational coverage centers on corporate functions that intersect UX design and applied machine learning, with the platform positioned to support customer-facing conversational experiences and internal experimentation in NLP. The effort framed Chatbots and Conversational AI at Otto Group as a cross-functional program involving UX designers, ML engineers, and product stakeholders, aligning conversational workflows with user experience considerations and model training needs.
Governance and rollout began with knowledge transfer activities, featuring presentations and a practical Rasa introduction by Dr Yuri Paern and Dr Yannick Versley, and moved toward team-level adoption by Otto’s ML and NLP groups. The implementation narrative emphasizes practice-oriented training and internal discussion of UX and ML challenges, establishing operational ownership within Otto Group’s analytics and product teams. Rasa AI Platform is described as the technical foundation for these conversational AI efforts at Otto Group.
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Raiffeisen Bank Romania | Banking and Financial Services | 5047 | $1.1B | Romania | Rasa | Rasa AI Platform | Chatbots and Conversational AI | 2017 | n/a |
In 2017, Raiffeisen Bank Romania implemented Rasa AI Platform to develop an AI assistant in the Chatbots and Conversational AI category, focused on handling longer conversational flows and enabling non-technical team members to participate in model training. The initial scope was a rapid proof of concept for customer-facing conversational workflows, built to validate dialogue continuity and training velocity within the bank’s product organization.
The Rasa AI Platform deployment emphasized conversation management and natural language understanding pipelines, with configuration and training workflows designed for fast iteration. Product teams ran short cycle experiments using real user interactions to refine intents and dialogue policies, and the implementation included tooling to let non-technical staff update training data and conversation stories without deep engineering intervention.
The solution was deployed on premises and integrated with Facebook Messenger as the initial customer channel, demonstrating channel-level integration and secure data residency controls. Operational coverage centered on the bank’s product and customer service teams in Romania, and the team is working to extend the same conversational capabilities into Raiffeisen’s main web and mobile products.
Governance and rollout followed an experimental, product-led model, with a successful proof of concept delivered within two months and ongoing fast iteration cycles to improve AI accuracy from production conversations. The implementation narrative highlights a transition from rapid POC to a strategic program to operationalize Rasa AI Platform across additional digital channels and internal teams.
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Healthcare | 339 | $119M | United States | Rasa | Rasa AI Platform | Chatbots and Conversational AI | 2017 | n/a |
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Buyer Intent: Companies Evaluating Rasa AI Platform
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Rasa AI Platform. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Rasa AI Platform for Chatbots and Conversational AI include:
- Reliance Industries, a India based Oil, Gas and Chemicals organization with 347362 Employees
- Filament Serbia, a Serbia based Manufacturing company with 10 Employees
- Quest Global, a Singapore based Professional Services organization with 20000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Rasa AI Platform Coverage
Rasa AI Platform is a Chatbots and Conversational AI solution from Rasa.
Companies worldwide use Rasa AI Platform, from small firms to large enterprises across 21+ industries.
Organizations such as Otto Group, ERGO Group, Helvetia Group, Raiffeisen Bank Romania and Helvetia Versicherungen Deutschland are recorded users of
Rasa AI Platform for Chatbots and Conversational AI.
Companies using Rasa AI Platform are most concentrated in Retail, Insurance and Banking and Financial Services, with adoption spanning over 21 industries.
Companies using Rasa AI Platform are most concentrated in Germany, Switzerland and Romania, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Rasa AI Platform across Americas, EMEA, and APAC.
Companies using Rasa AI Platform range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 16.67%, and global enterprises with 10,000+ employees - 50%.
Customers of Rasa AI Platform include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Rasa AI Platform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Chatbots and Conversational AI.