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Boost Sales 15% with Cutting-Edge Voice AI & TTS Tech

▼ Summary

– VB Transform is a long-trusted event for enterprise leaders to develop AI strategies, featuring insights from industry experts.
– Startup Rime’s Arcana TTS model generates diverse, humanlike voices based on text descriptions, improving customer sales by 15% for brands like Domino’s.
– Rime’s model uses natural conversations for training, allowing dynamic voice outputs with emotions, accents, and multilingual capabilities.
– The company collects proprietary conversational data from real people (not actors) to achieve high accuracy and natural speech patterns.
– Rime powers nearly 100M calls monthly for major clients and plans to expand on-premises solutions for lower latency by 2025.

Businesses leveraging advanced voice AI technology are seeing remarkable results, with some brands reporting sales increases of up to 15%. The key lies in delivering authentic, diverse voices that resonate with customers, far beyond the outdated “broadcast standard” of past decades. Rime, a pioneering startup, is at the forefront of this shift with its Arcana text-to-speech (TTS) model, which generates lifelike voices tailored to specific demographics, languages, and even personalities.

Unlike traditional TTS systems reliant on scripted voice actors, Rime’s approach focuses on natural conversations. By training its model on real human interactions, the company achieves unprecedented realism. Users simply describe their ideal voice—whether it’s a “30-year-old female software enthusiast from California” or an “Australian man with a laid-back tone”, and Arcana delivers a unique, dynamic result every time.

The impact on customer engagement is undeniable. Major brands like Domino’s and Wingstop have integrated Rime’s technology into their call centers, where AI voices now handle millions of interactions monthly. The system doesn’t just speak. It laughs, sighs, and even inserts natural pauses, making conversations feel genuinely human.

For businesses seeking ready-made options, Rime offers eight flagship voices, each with distinct traits. From Luna, a Gen-Z optimist, to Orion, an older African-American man with a cheerful tone, these presets cater to diverse customer bases. The model also supports multilingual switching, sarcasm, and even whispering—capabilities that set it apart from conventional TTS solutions.

Behind the scenes, Rime’s training process is equally innovative. The company built its own proprietary dataset by recording unscripted conversations with everyday people, not actors. This approach captures the nuances of real speech, accents, filler words, and emotional inflections as well, resulting in 98-100% accuracy in voice replication.

To help businesses optimize performance, Rime provides a personalization harness, allowing A/B testing of different voices. Analytics reveal which options drive the best outcomes, whether it’s upselling fries or keeping callers engaged. Early adopters report that customers are four times more likely to interact with Rime-powered bots compared to older systems.

With nearly 100 million calls processed monthly, Rime’s technology is already reshaping industries. Future plans include expanding on-premises deployments to reduce latency, ensuring seamless real-time interactions. As companies demand AI that handles niche phrases (like Domino’s “Meatza ExtravaganZZa”), Rime continues refining its models to tackle these challenges head-on.

For enterprises, the message is clear: humanlike, adaptable AI voices aren’t just a novelty, they’re a proven driver of sales and customer satisfaction. As Rime’s CEO Lily Clifford puts it, “The goal is to make every interaction feel personal, not robotic.” And with results like these, the future of conversational AI looks anything but artificial.

(Source: VentureBeat)

Topics

rimes arcana tts model 95% voice ai technology impact 90% natural conversation training 85% customer engagement improvement 80% multilingual emotional capabilities 75% proprietary dataset collection 70% voice personalization b testing 65% future expansion plans 60% enterprise ai strategy 55% vb transform event 20%
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