Rasa

About Rasa

Rasa offers an open-core conversational AI framework that utilizes generative AI to facilitate the development and deployment of AI assistants tailored to enterprise needs. This platform enhances customer interactions while ensuring security, scalability, and brand control, ultimately reducing development time and costs.

```xml <problem> Enterprises face challenges in building and deploying conversational AI assistants that are secure, scalable, and aligned with their brand. Traditional methods can be time-consuming and costly, while also requiring significant expertise in natural language processing and machine learning. </problem> <solution> Rasa offers an open-core conversational AI framework that leverages generative AI to streamline the development and deployment of AI assistants for enterprise use cases. The platform provides tools for building, testing, and improving conversational AI, while ensuring security, observability, and scalability. Rasa Pro, the enterprise version, allows for nuanced conversations with end customers by following business logic safely and predictably. Rasa Studio offers a no-code UI for cross-team collaboration, leveraging a generative AI approach to handle common conversational patterns. </solution> <features> - Open-core conversational AI framework for building AI assistants - Generative AI capabilities for effortless assistant development - Rasa Pro: Enterprise-grade platform with security, observability, and scalability - Rasa Studio: No-code UI for building, testing, and improving conversational AI - CALM (Conversational AI with Language Models): LLM-native paradigm for reliable conversational AI - Support for nuanced conversations with end customers - Flexible deployment options </features> <target_audience> The primary target audience includes enterprises looking to enhance customer interactions through conversational AI, as well as developers and teams involved in building and deploying AI assistants. </target_audience> <revenue_model> Rasa generates revenue through subscriptions to Rasa Pro and managed services, offering proactive, premium support and other benefits. </revenue_model> ```

What does Rasa do?

Rasa offers an open-core conversational AI framework that utilizes generative AI to facilitate the development and deployment of AI assistants tailored to enterprise needs. This platform enhances customer interactions while ensuring security, scalability, and brand control, ultimately reducing development time and costs.

When was Rasa founded?

Rasa was founded in 2016.

Founded
2016
Employees
145 employees

Find Investable Startups and Competitors

Search thousands of startups using natural language

Rasa

⚠️ AI-generated overview based on web search data – may contain errors, please verify information yourself! You can claim this account with your email domain to make edits.

Executive Summary

Rasa offers an open-core conversational AI framework that utilizes generative AI to facilitate the development and deployment of AI assistants tailored to enterprise needs. This platform enhances customer interactions while ensuring security, scalability, and brand control, ultimately reducing development time and costs.

rasa.com20K+
Founded 2016

Funding

No funding information available.

Team (100+)

No team information available.

Company Description

Problem

Enterprises face challenges in building and deploying conversational AI assistants that are secure, scalable, and aligned with their brand. Traditional methods can be time-consuming and costly, while also requiring significant expertise in natural language processing and machine learning.

Solution

Rasa offers an open-core conversational AI framework that leverages generative AI to streamline the development and deployment of AI assistants for enterprise use cases. The platform provides tools for building, testing, and improving conversational AI, while ensuring security, observability, and scalability. Rasa Pro, the enterprise version, allows for nuanced conversations with end customers by following business logic safely and predictably. Rasa Studio offers a no-code UI for cross-team collaboration, leveraging a generative AI approach to handle common conversational patterns.

Features

Open-core conversational AI framework for building AI assistants

Generative AI capabilities for effortless assistant development

Rasa Pro: Enterprise-grade platform with security, observability, and scalability

Rasa Studio: No-code UI for building, testing, and improving conversational AI

CALM (Conversational AI with Language Models): LLM-native paradigm for reliable conversational AI

Support for nuanced conversations with end customers

Flexible deployment options

Target Audience

The primary target audience includes enterprises looking to enhance customer interactions through conversational AI, as well as developers and teams involved in building and deploying AI assistants.

Revenue Model

Rasa generates revenue through subscriptions to Rasa Pro and managed services, offering proactive, premium support and other benefits.

Want to add first party data to your startup here or get your entry removed? You can edit it yourself by logging in with your company domain.