Rasa Technologies GmbH
To enable businesses to build reliable, trustworthy AI agents that handle real-world complexity by extending LLMs with business logic, providing teams with full control over behavior and performance while avoiding vendor lock-in.
At a Glance
- Financial services and banking
- Insurance
- Telecommunications
- Healthcare
- +7 more
AI Tools by Rasa Technologies GmbH
(1)
Rasa
Enterprise Conversational AI Platform
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Latest News
Rasa Raises $30 Million Series C Co-led by StepStone Group and PayPal Ventures
Rasa Recognized as Representative Vendor in Gartner Market Guide for Conversational AI Solutions
Rasa Announces CALM SUMMIT '24 in New York City
Rasa Launches Innovative Generative AI Platform Blending Pro-Code and Low-Code Development
Products & Services
First product - open-source library for natural language understanding, freeing developers from relying on third-party APIs
Open source framework for automating conversations with text and voice-based assistants
Enterprise-grade solution for building and managing conversational AI, includes support, testing, analytics, and scalable deployment
Open-core conversational AI framework with CALM dialogue understanding, language-agnostic NLU, enterprise search, contextual response rephraser, custom actions server, Kubernetes/Helm support, end-to-end testing, PII data management, LLM fine-tuning and multi-LLM management, vulnerability protection, observability, and data pipeline capabilities
Market Position
Rasa positions itself as the enterprise-grade alternative to proprietary conversational AI platforms, emphasizing open-source foundation, developer control, no vendor lock-in, and flexible deployment options. Key differentiators include: (1) CALM architecture for hallucination-free generative AI, (2) hybrid pro-code and low-code approach combining developer flexibility with business user accessibility, (3) support for on-premises and private cloud deployment for regulated industries, (4) full transparency and control over AI behavior vs. black-box solutions, (5) enterprise-grade security and compliance (GDPR, HIPAA), (6) ability to fine-tune and manage multiple LLMs, and (7) proven scalability handling millions of conversations for global enterprises.
Leadership
Founders
Alex Weidauer
Co-founder and CEO. Studied Computer Science. Previously met Alan Nichol at a startup weekend in the UK. Experienced in building chatbots and conversational AI.
Alan Nichol
Co-founder and CTO. Holds a PhD in Engineering from Cambridge with a machine learning focus and an advanced degree in chemical physics from the University of Edinburgh. Previously co-founder and CTO of a Techstars-backed productivity startup with a conversational angle. Conducted academic research in physics and molecular simulation using machine learning.
Executive Team
Melissa Gordon
Chief Executive Officer
Stanford University (Economics), Harvard Business School (Executive Education). Previously SVP and GM Marketplace at Tradeshift, VP of Worldwide Sales, Customer Success, and Services at SingleStore, and experience at Oracle. Former competitive pole vaulter.
Alan Nichol
Co-Founder & Chief Technology Officer
PhD in Engineering from Cambridge (machine learning focus), advanced degree in chemical physics from University of Edinburgh. Previously co-founder and CTO of Techstars-backed productivity startup. Managing Director of Rasa Technologies GmbH.
Board of Directors
Founding Story
Rasa was founded in December 2016 by Alex Weidauer and Alan Nichol, who met at a startup weekend in the UK. The company began when Alex was building chatbots in his kitchen using existing frameworks like Dialogflow and experienced their limitations. They noticed developers wanted to build their own NLP to avoid reliance on third-party APIs which were free but came with uncertainties and vendor lock-in. They decided to open-source their NLP engine (Rasa NLU) to provide a customizable, developer-controlled alternative that would allow developers to maintain control and customization over their conversational AI projects. The goal was to free developers from relying on big tech APIs and empower them to control their own AI development.
Business Model
Revenue Model
Subscription-based model with a commercial open-source approach. Offers free open-source framework and free Developer Edition with limited usage. Revenue comes from enterprise subscriptions that include premium features, support, and managed services. Deployment options include self-managed (on-premises/private cloud) or managed service. Additional revenue from add-ons like IVR Connector to AudioCodes VoiceAI Connect.
Pricing Tiers
License for local or production use, one bot per company, limit of 1000 external conversations per month or 100 internal conversations per month, access to community forum support
Full access to Rasa Platform including Rasa Pro and Rasa Studio, Premium Support with 24/7/365 enhanced response times, Customer Success Manager and Engineer access, success planning, best practice guidance, business reviews, large scale deployment capabilities, enterprise security features, no-code flow builder, testing panel, content and response management, SSO, and Role-based Access Control
Target Markets
- Financial services and banking
- Insurance
- Telecommunications
- Healthcare
- Retail and e-commerce
- Government and public sector
- Customer service automation
- Sales and lead qualification
- Employee experience automation (HR, IT, Operations)
- Insurance policy sales via text
- Natural language search (e.g., Adobe Stock image search)
- Financial services customer support
- Autodesk
- BNP Paribas
- Swisscom
- T-Mobile