Rasa Unveils Multimodal Voice AI for Businesses at Vegas Event

Rasa Unveils Multimodal Voice AI at Customer Contact Week



Rasa Technologies Inc., a leader in conversational AI, has recently showcased a pioneering multimodal voice AI platform designed specifically for enterprise applications during the Customer Contact Week (CCW) held in Las Vegas on June 11-12, 2025. This event was an opportunity for Rasa to connect with business leaders and discuss the future of voice automation.

The new voice architecture presented by Rasa combines structured logic with multimodal input, significantly bridging the gap between comprehension and real-time execution. In a significant move, Rasa eliminates the need for voice-to-text processing, thereby eradicating latency and miscommunication issues that have long hindered voice-based interactions. With Rasa's voice AI, problems are addressed as they are articulated, enabling the system to provide solutions before users finish their explanations. This proactive approach fosters confidence in each interaction.

The Shift Towards a Voice-Centric Future



Melissa Gordon, CEO of Rasa, emphasized the increasing importance of voice as a strategic channel for customer experience. She stated, "We believe that voice is becoming one of the most strategic channels for customer experience, and businesses need reliable solutions." The voice automation technology introduced aims to scale effectively while delivering the speed, reliability, and nuance that users expect.

Rasa Voice facilitates conversations that directly lead to actionable outcomes. By integrating live audio signals with contextual clues, it interprets meaning from the first word without requiring transcription. This methodology results in:
  • - Faster Execution: By bypassing transcription bottlenecks, the system can deliver results more swiftly.
  • - Rich Intent Interpretation: The AI can discern intention, emotion, and speech patterns more profoundly, resulting in more human-like interactions.
  • - Consistency: It ensures coherence between spoken words and system actions, fostering a seamless user experience.

Rasa Voice relies on the CALM framework (Conversational AI with Language Models), which marries the fluidity of large language models (LLMs) with the reliability that enterprises require. Instead of waiting for user commands to be formulated, CALM translates spoken input into structured, traceable commands that are executed within predefined workflows.

Meeting Real-World Needs



To succeed in real-world applications, voice AI must focus on speed, accuracy, and cost-effectiveness. Rasa's architecture prioritizes these principles from the outset. It aids organizations in selecting appropriate language models, optimizing for specific domains, and setting stringent latency and performance goals. This focus enables informed and confident decisions that mitigate potential risks.

Loïc Mayet, the CIO of Groupe IMA, a leading insurance provider in Europe, highlighted the importance of actionable voice AI, stating, "We are not experimenting with voice; we are implementing it. That’s the difference." Following a comprehensive assessment of various vendors, Groupe IMA chose Rasa Voice for its automation goals, illustrating how Rasa can adapt to sophisticated business needs.

Similarly, Swisscom, a top telecommunications provider in Switzerland, selected Rasa Voice to enhance their customer service automation while maintaining exceptional quality standards. Their success attests to how Rasa meets the demanding requirements of large enterprises.

The new voice AI feature is currently available in a preview for select enterprise environments, with more details accessible at www.rasa.com/solutions/voice.

About Rasa


Rasa revolutionizes the creation of complex conversational AI by enhancing LLMs with reliable business logic. This platform empowers companies to develop sophisticated AI assistants capable of managing millions of interactions securely. Rasa has established trust with Fortune 500 companies, ensuring data privacy, security, and scalability. The company is privately held, backed by prominent investors including Accel, Andreessen Horowitz, Basis Set Ventures, PayPal Ventures, and StepStone Group.

Topics Business Technology)

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