Rasa
Leverages natural language processing research, machine learning and flexible infrastructure to developers for conversational AI.
| USD | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 108 % | 218 % | - | 19 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Rasa, accessible at rasa.com, is a pioneering company in the field of conversational AI, which focuses on creating software that enables machines to understand and respond to human language. The company primarily serves businesses looking to enhance their customer service, automate interactions, and improve user engagement through intelligent chatbots and virtual assistants. Rasa operates in the rapidly growing market of artificial intelligence and machine learning, specifically targeting the niche of natural language processing (NLP).
Rasa's business model revolves around offering both open-source and enterprise solutions. The open-source platform, Rasa Open Source, allows developers to build and customize their own conversational AI applications. This fosters a large community of users who contribute to and improve the software. For businesses requiring more advanced features and support, Rasa offers Rasa X, a paid product that provides tools for managing and improving AI assistants, along with enterprise-grade support and services.
The company generates revenue through subscriptions to Rasa X and enterprise services, which include premium support, custom development, and training workshops. These workshops, such as the Rasa Certification Workshop, are designed to educate and certify users in effectively utilizing Rasa's tools.
Rasa's clients range from small startups to large enterprises across various industries, including finance, healthcare, retail, and telecommunications. These clients leverage Rasa's technology to automate customer interactions, provide 24/7 support, and gather valuable insights from user conversations.
In summary, Rasa is a key player in the conversational AI market, providing both free and paid solutions to help businesses automate and enhance their customer interactions through intelligent chatbots and virtual assistants.
Keywords: Conversational AI, Chatbots, Virtual Assistants, Natural Language Processing, Rasa Open Source, Rasa X, Customer Service Automation, AI Software, Enterprise Solutions, Machine Learning.