Rasa

Rasa is an enterprise-grade platform designed for building sophisticated, text- and voice-based AI assistants. It empowers your teams to create deeply customized conversational experiences without the "black box" limitations of typical AI services, ensuring you maintain full control over your data and brand identity.

Key Features

🧠 Enterprise-Grade AI Framework (Rasa Pro) Rasa Pro is the open-core foundation that gives your developers the power to build deeply nuanced, secure, and scalable AI assistants. It allows you to enforce business logic predictably and deploy the assistant in your own environment—on-premises or in a private cloud—for maximum control.

🎨 Intuitive No-Code Builder (Rasa Studio) This drag-and-drop UI empowers your entire team—from business analysts to content managers—to build, test, and improve conversational flows. It makes the power of Rasa Pro accessible to non-coders, fostering seamless collaboration and accelerating the development of your AI assistant.

💬 Advanced Conversational Logic (CALM) Leveraging a unique approach called Conversational AI with Language Models (CALM), Rasa assistants can naturally handle complex user interactions like digressions, corrections, and interruptions out-of-the-box. This results in more fluid, human-like conversations and a better user experience, without sacrificing reliability.

Use Cases

• Personalized Customer Support: Create AI assistants that understand customer history and context to provide tailored support. T-Mobile uses Rasa to decrease wait times and improve time-to-resolution, enhancing its customer-centric service.

• Cost-Effective Automation: Automate routine and repetitive inquiries to free up your human agents for higher-value tasks. Digital bank N26 successfully reduced costs by automating 30% of its routine customer service contacts using Rasa.

• Intelligent Agent Assist: Build tools that support your human agents by providing real-time information and handling parts of a conversation. Health insurer nib built an assistant that increased its online member interactions by 900%, significantly optimizing its support workflow.

Why Choose Rasa?

Rasa is engineered to provide a level of control and transparency that is fundamentally different from other conversational AI solutions.

• No More "Black Boxes": While many AI platforms hide their inner workings, Rasa provides an open-core framework. This gives your team complete transparency and the ability to customize every aspect of your assistant, from its underlying logic to its specific integrations.

• You Own Your Data: Unlike services that require sending your data to a third-party cloud, Rasa allows for on-premises or private cloud deployment. You retain full ownership and control of your models and sensitive customer data, enabling compliance with strict regulations like GDPR and HIPAA.

• Reliable Generative AI: Instead of simply connecting to a generic LLM, Rasa uses its CALM technology. This structured approach combines the power of generative AI with predictable business logic, ensuring your assistant stays on-brand and follows required processes without fail.

• Designed for Team Collaboration: Rasa uniquely bridges the gap between technical and business teams. It combines the pro-code power of Rasa Pro for developers with the intuitive no-code UI of Rasa Studio for business users, breaking down silos and accelerating your entire workflow.

Conclusion

Rasa delivers the ideal balance of power and control for enterprises that are serious about conversational AI. It enables you to build assistants that are not only intelligent and effective but also fully secure, customizable, and true to your brand. By putting you in the driver's seat, Rasa helps you create superior customer experiences that build trust and drive real business results.

Explore the Rasa Platform to see how you can transform your customer journey!

FAQ

1. Can I deploy Rasa on my own servers? Yes. Rasa is designed for flexible deployment. You can run it on-premises in your own data center or in a private cloud environment. This gives you complete control over your infrastructure and data. For teams that prefer a managed solution, Rasa also offers a Managed Service option.

2. How does Rasa handle data privacy and security? Data privacy is a core principle of Rasa. Because you can deploy it on your own infrastructure, your customer conversations and training data never have to leave your control. This allows you to build assistants that comply with strict industry regulations like HIPAA (healthcare) and GDPR (data protection).

3. Is Rasa only for developers? No. While Rasa Pro provides a powerful, open-core framework for developers, the platform is designed for the entire conversational AI team. Rasa Studio offers a no-code, drag-and-drop interface that allows business analysts, UX designers, and content managers to build, test, and manage conversational flows without writing any code.