Assembled
With Assembled, support leaders can unify human and AI agents in one intelligent platform that drives efficiency without compromising quality. Our technology enables over 50% automation of customer interactions, precise demand forecasting, and optimized staffing across in-house teams and BPO partners. From live workload balancing to AI agents that match your workflows and brand voice, Assembled ensures every chat, call, and email is handled with speed and consistency. Companies including Stripe, Canva, and Robinhood trust Assembled to elevate the customer experience and reduce operational costs. Core solutions span workforce and vendor management, real-time performance visibility, and AI Copilot — giving agents translation, reply suggestions, and instant task automation to resolve issues faster.
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Enterprise Bot
Our advanced AI functions as an unparalleled agent, expertly equipped to address inquiries and assist customers throughout their entire experience, available around the clock. This solution is not only economical and efficient but also brings immediate domain knowledge and seamless integration capabilities. The conversational AI from Enterprise Bot excels in comprehending and replying to user inquiries across various languages. With its extensive domain expertise, it achieves remarkable accuracy and accelerates time-to-market significantly. We provide automation solutions that seamlessly connect with essential systems, catering to sectors such as commercial or retail banking, asset management, and wealth management. Customers can easily monitor trade statuses, settle credit card bills, extend offers, and much more. By simplifying responses to intricate questions regarding insurance products, we enable enhanced sales and cross-selling opportunities. Our intelligent flows facilitate the quick reporting of claims, streamlining the claims process for users. Additionally, our AI interface empowers customers to inquire about ticketing, reserve tickets, check train schedules, and share their feedback in a user-friendly manner. This comprehensive support ensures that every aspect of the customer journey is smooth and efficient.
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Zyphra Zonos
Zyphra is excited to announce the beta launch of Zonos-v0.1, featuring two advanced and real-time text-to-speech models that incorporate high-fidelity voice cloning technology. This release includes a 1.6B transformer model and a 1.6B hybrid model, both distributed under the Apache 2.0 license. Considering the difficulties in measuring audio quality quantitatively, we assert that the quality of output generated by Zonos matches or exceeds that of leading proprietary TTS systems currently on the market. Moreover, we believe that providing access to such high-quality models will significantly enhance progress in TTS research. The model weights for Zonos are readily available on Huggingface, along with sample inference code hosted in our GitHub repository. In addition, Zonos can be accessed through our model playground and API, which offers simple and competitive flat-rate pricing options for users. To showcase Zonos's performance, we have compiled a series of sample comparisons against existing proprietary models that illustrate its exceptional capabilities. This project underscores our dedication to promoting innovation within the text-to-speech technology sector, and we anticipate that it will inspire further advancements in the field.
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Amazon Polly
Amazon Polly is a service that transforms written text into lifelike speech, allowing for the creation of applications capable of vocal communication and inspiring the development of advanced speech-enabled products. By leveraging cutting-edge deep learning technologies, Polly’s Text-to-Speech (TTS) service generates voices that sound remarkably human. With an array of realistic voices offered in multiple languages, developers can build speech-enabled applications that effectively reach diverse audiences across the globe.
In addition to the Standard TTS voices, Amazon Polly features Neural Text-to-Speech (NTTS) voices that significantly improve speech quality through an innovative machine learning approach. Furthermore, Polly's Neural TTS offers two unique speaking styles: a Newscaster style tailored for delivering news and a Conversational style ideal for interactive environments such as phone conversations. This versatility enables developers to customize the listening experience to meet their specific application requirements, catering to various user needs. Ultimately, Amazon Polly stands out as a powerful tool for enhancing user engagement through voice technology.
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