Problems that solves

Low quality of customer service

High costs of routine operations

No automated business processes

No support for mobile and remote users

Low employee productivity

High costs of IT personnel

Failure to attract new customers

Customer attrition

Low quality of customer support

High costs


Reduce Costs

Enhance Staff Productivity

Improve Customer Service

Increase Customer Base

Expand Sales Geography

Support Customers

Enhance Competitive Ability


Rasa is a free toolset to build, improve, and deploy contextual assistants across channels and languages, powered by the Rasa open-source ML framework.


Understand messages

Turn free-form text in any language into structured data. Supports single and multiple intents and both pre-trained and custom entities.

Hold conversations

Hold back-and-forth conversations that remember context using machine learning-based dialogue management. Seamlessly integrate your business logic.

Interactive learning

Generate training data by talking to your assistant and provide feedback when it makes an error.

Connect to messaging channels

Run your assistant on Slack, Facebook, Google Home, custom channels, and more.

Integrate your APIs

Interact with other APIs and systems through custom actions.

User features

Roles of Interested Employees

Chief Executive Officer

Chief Information Officer

Chief Sales Officer

Operational Manager

Sales Management

Marketing Management


Organizational Features

Web-based customer portal

Mobile users

Internet access is available for employees

Social networks are used