Aurora Mobile’s GPTBots.ai Launches Advanced Audio LLM Capabilities
Aurora Mobile's (NASDAQ: JG) GPTBots.ai platform has launched new Audio LLM capabilities, enabling real-time voice-to-voice communication powered by OpenAI's native audio multimodal LLM. The update eliminates traditional ASR and TTS processes, reducing latency and supporting multiple languages.
The enhanced Audio LLM integrates with RAG framework, workflow orchestration tools, and plugin ecosystem, allowing audio messages to interact with knowledge bases and execute workflows. This development is part of GPTBots' strategy to deliver an AI SDR solution for sales process automation.
The platform recently integrated DeepSeek, a lightweight LLM known for domain-specific optimizations, to provide scalable and cost-effective AI solutions. The new capabilities target industries focused on customer engagement and lead generation, aiming to improve customer satisfaction and operational efficiency.
La piattaforma GPTBots.ai di Aurora Mobile (NASDAQ: JG) ha lanciato nuove funzionalità Audio LLM, che consentono comunicazioni vocali in tempo reale grazie al LLM multimodale audio nativo di OpenAI. Questo aggiornamento elimina i tradizionali processi ASR e TTS, riducendo la latenza e supportando più lingue.
Il migliorato Audio LLM si integra con il framework RAG, strumenti di orchestrazione del flusso di lavoro e un ecosistema di plugin, consentendo ai messaggi audio di interagire con basi di conoscenza ed eseguire flussi di lavoro. Questo sviluppo fa parte della strategia di GPTBots per fornire una soluzione AI SDR per l'automazione del processo di vendita.
La piattaforma ha recentemente integrato DeepSeek, un LLM leggero noto per le ottimizzazioni specifiche del dominio, per fornire soluzioni AI scalabili ed economicamente vantaggiose. Le nuove capacità si rivolgono a settori focalizzati sull'engagement dei clienti e sulla generazione di lead, con l'obiettivo di migliorare la soddisfazione del cliente e l'efficienza operativa.
La plataforma GPTBots.ai de Aurora Mobile (NASDAQ: JG) ha lanzado nuevas capacidades de Audio LLM, que permiten la comunicación de voz a voz en tiempo real impulsada por el LLM multimodal de audio nativo de OpenAI. La actualización elimina los procesos tradicionales de ASR y TTS, reduciendo la latencia y soportando múltiples idiomas.
El Audio LLM mejorado se integra con el marco RAG, herramientas de orquestación de flujos de trabajo y un ecosistema de plugins, permitiendo que los mensajes de audio interactúen con bases de conocimiento y ejecuten flujos de trabajo. Este desarrollo es parte de la estrategia de GPTBots para ofrecer una solución AI SDR para la automatización del proceso de ventas.
La plataforma ha integrado recientemente a DeepSeek, un LLM ligero conocido por sus optimizaciones específicas de dominio, para proporcionar soluciones de IA escalables y rentables. Las nuevas capacidades están dirigidas a industrias centradas en la interacción con el cliente y la generación de leads, con el objetivo de mejorar la satisfacción del cliente y la eficiencia operativa.
오로라 모바일(Aurora Mobile)의 GPTBots.ai 플랫폼(NASDAQ: JG)이 OpenAI의 네이티브 오디오 멀티모달 LLM을 기반으로 실시간 음성 간 통신을 가능하게 하는 새로운 오디오 LLM 기능을 출시했습니다. 이 업데이트는 전통적인 ASR 및 TTS 프로세스를 제거하여 지연 시간을 줄이고 여러 언어를 지원합니다.
향상된 오디오 LLM은 RAG 프레임워크, 워크플로 오케스트레이션 도구 및 플러그인 생태계와 통합되어 오디오 메시지가 지식 베이스와 상호작용하고 워크플로를 실행할 수 있도록 합니다. 이 개발은 판매 프로세스 자동화를 위한 AI SDR 솔루션을 제공하기 위한 GPTBots의 전략의 일환입니다.
플랫폼은 최근 도메인별 최적화로 유명한 경량 LLM인 DeepSeek를 통합하여 확장 가능하고 비용 효율적인 AI 솔루션을 제공합니다. 새로운 기능은 고객 참여 및 리드 생성에 중점을 둔 산업을 대상으로 하여 고객 만족도와 운영 효율성을 향상시키는 것을 목표로 합니다.
La plateforme GPTBots.ai d'Aurora Mobile (NASDAQ: JG) a lancé de nouvelles capacités Audio LLM, permettant une communication vocale en temps réel grâce au LLM multimodal audio natif d'OpenAI. Cette mise à jour élimine les processus ASR et TTS traditionnels, réduisant la latence et prenant en charge plusieurs langues.
Le LLM audio amélioré s'intègre au cadre RAG, aux outils d'orchestration des flux de travail et à un écosystème de plugins, permettant aux messages audio d'interagir avec des bases de connaissances et d'exécuter des flux de travail. Ce développement fait partie de la stratégie de GPTBots pour fournir une solution AI SDR pour l'automatisation des processus de vente.
La plateforme a récemment intégré DeepSeek, un LLM léger connu pour ses optimisations spécifiques au domaine, afin de fournir des solutions IA évolutives et rentables. Les nouvelles capacités ciblent les industries axées sur l'engagement client et la génération de leads, visant à améliorer la satisfaction client et l'efficacité opérationnelle.
Die GPTBots.ai-Plattform von Aurora Mobile (NASDAQ: JG) hat neue Audio-LLM-Funktionen eingeführt, die eine Echtzeit-Sprach-zu-Sprach-Kommunikation ermöglichen, die von OpenAIs nativem multimodalem Audio-LLM unterstützt wird. Das Update beseitigt traditionelle ASR- und TTS-Prozesse, verringert die Latenz und unterstützt mehrere Sprachen.
Das verbesserte Audio-LLM integriert sich in das RAG-Framework, Workflow-Orchestrierungstools und ein Plugin-Ökosystem, sodass Audionachrichten mit Wissensdatenbanken interagieren und Workflows ausführen können. Diese Entwicklung ist Teil der Strategie von GPTBots, eine KI-SDR-Lösung zur Automatisierung von Vertriebsprozessen bereitzustellen.
Die Plattform hat kürzlich DeepSeek integriert, ein leichtgewichtiges LLM, das für domänenspezifische Optimierungen bekannt ist, um skalierbare und kosteneffiziente KI-Lösungen bereitzustellen. Die neuen Funktionen richten sich an Branchen, die sich auf Kundenengagement und Lead-Generierung konzentrieren, mit dem Ziel, die Kundenzufriedenheit und die Betriebseffizienz zu verbessern.
- Integration with OpenAI's native audio multimodal LLM for improved voice interactions
- Enhanced efficiency through elimination of traditional ASR and TTS processes
- Integration with RAG framework and workflow tools for complex operations
- Addition of DeepSeek LLM for cost-effective solutions
- None.
Insights
The launch of advanced Audio LLM capabilities for GPTBots.ai represents a significant technological leap in Aurora Mobile's enterprise AI offerings. By eliminating traditional ASR/TTS processes and implementing direct voice-to-voice communication, the platform achieves a important competitive advantage in latency reduction and natural language processing efficiency.
The integration with RAG framework and workflow orchestration tools positions GPTBots.ai uniquely in the enterprise AI market. This architectural approach enables three key advantages:
- Enhanced real-time processing capabilities for complex voice interactions
- Seamless integration with existing knowledge bases and business workflows
- Scalable plugin ecosystem that supports custom business logic implementation
The strategic focus on AI SDR solutions reveals Aurora Mobile's intent to capture high-value enterprise use cases. The Chinese customer engagement market, estimated to grow significantly, presents substantial revenue opportunities. The addition of DeepSeek LLM further strengthens the platform's competitive position by offering cost-effective, domain-optimized language processing.
However, execution challenges remain critical. Success will depend on:
- Enterprise adoption rates in key industries
- Integration capabilities with existing CRM and sales systems
- Performance metrics in real-world deployments
- Competition from established players in the voice AI space
This development signals Aurora Mobile's evolution from a traditional mobile services provider to an advanced AI solutions company, potentially opening new revenue streams in the enterprise market. The focus on voice-driven AI aligns with the growing demand for automated customer engagement solutions, particularly in the Chinese market where voice interaction is increasingly prevalent in business applications.
SHENZHEN, China, Feb. 14, 2025 (GLOBE NEWSWIRE) -- Aurora Mobile Limited (NASDAQ: JG) (“Aurora Mobile” or the “Company”), a leading provider of customer engagement and marketing technology services in China, today announced that its leading enterprise-grade AI platform, GPTBots.ai, has launched new Audio LLM capabilities, setting a new standard for real-time, voice-driven AI interactions. This update enables seamless voice-to-voice communication powered by OpenAI’s native audio multimodal LLM, eliminating the need for traditional ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) processes. By significantly reducing latency, GPTBots delivers faster, more natural voice interactions in dozens of major languages, making it a versatile solution for industries heavily reliant on customer engagement and lead generation.
Transforming Voice Interactions Across Industries
The new Audio LLM capabilities are designed to address the growing demand for high-quality voice interactions in scenarios that prioritize customer service and lead acquisition. From retail and e-commerce to sales and support, GPTBots’ Audio LLM empowers businesses to deliver real-time, personalized voice experiences that enhance customer satisfaction and operational efficiency.
In addition to enabling voice-to-voice communication, GPTBots has enhanced its Audio LLM by integrating it with its RAG (Retrieval-Augmented Generation) framework, workflow orchestration tools, and plugin ecosystem. These integrations allow audio messages to seamlessly interact with complex knowledge bases, execute intricate workflows, and call external plugins, enabling businesses to handle knowledge-intensive and dynamic scenarios with ease.
Laying the Foundation for Voice-Driven AI SDR Solutions
This Audio LLM update is a strategic step toward GPTBots’ vision of delivering a comprehensive AI SDR (Sales Development Representative) solution. By enabling real-time, voice-driven interactions, GPTBots is equipping businesses with the tools to revolutionize their sales processes. From lead qualification to personalized follow-ups, the enhanced Audio LLM functionality will play a pivotal role in automating and optimizing sales workflows, driving higher conversion rates and customer satisfaction.
“Voice interactions are becoming a cornerstone of modern AI applications, and our Audio LLM capabilities are designed to meet the growing demand for real-time, intelligent, and natural communication,” said Jerry Yin, VP of GPTBots.ai. “This update not only enhances our platform’s multimodal capabilities but also lays the groundwork for future innovations in voice-driven customer engagement and sales automation.”
DeepSeek: A Recent Addition to the GPTBots Platform
While this update focuses on GPTBots’ advancements in audio-based AI, it follows the recent integration of DeepSeek, a trending large language model (LLM) known for its lightweight architecture and domain-specific optimizations. DeepSeek’s inclusion in the GPTBots platform has further enhanced its ability to deliver scalable and cost-effective AI solutions across industries, reinforcing GPTBots’ commitment to enterprise-grade AI innovation.
Driving the Future of Multimodal AI
With this launch, GPTBots continues to strengthen its position in voice-enabled AI solutions, offering businesses the tools they need to stay ahead in an increasingly competitive landscape. By combining cutting-edge technology with practical, scalable solutions, GPTBots is empowering enterprises to unlock the full potential of AI in customer engagement, sales, and beyond.
About GPTBots.ai
GPTBots.ai is a complementary general-purpose LLM AI bot featuring private data input and continuous fine-tuning, which can replace 'rule-based' chatbots, improve user experience, and reduce costs. GPTBots.ai aims to provide users with an end-to-end business platform that can seamlessly integrate robots into existing applications and workflows via plug-ins. GPTBots.ai also allow users to have great access to, and more efficiently and effectively using, AIGC to improve overall corporate productivity and output quality.
To know more, please visit https://www.gptbots.ai.
About Aurora Mobile Limited
Founded in 2011, Aurora Mobile (NASDAQ: JG) is a leading provider of customer engagement and marketing technology services in China. Since its inception, Aurora Mobile has focused on providing stable and efficient messaging services to enterprises and has grown to be a leading mobile messaging service provider with its first-mover advantage. With the increasing demand for customer reach and marketing growth, Aurora Mobile has developed forward-looking solutions such as Cloud Messaging and Cloud Marketing to help enterprises achieve omnichannel customer reach and interaction, as well as artificial intelligence and big data-driven marketing technology solutions to help enterprises' digital transformation.
For more information, please visit https://ir.jiguang.cn/.
Safe Harbor Statement
This announcement contains forward-looking statements. These statements are made under the “safe harbor” provisions of the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as “will,” “expects,” “anticipates,” “future,” “intends,” “plans,” “believes,” “estimates,” “confident” and similar statements. Among other things, the Business Outlook and quotations from management in this announcement, as well as Aurora Mobile’s strategic and operational plans, contain forward-looking statements. Aurora Mobile may also make written or oral forward-looking statements in its reports to the U.S. Securities and Exchange Commission, in its annual report to shareholders, in press releases and other written materials and in oral statements made by its officers, directors or employees to third parties. Statements that are not historical facts, including but not limited to statements about Aurora Mobile’s beliefs and expectations, are forward-looking statements. Forward-looking statements involve inherent risks and uncertainties. A number of factors could cause actual results to differ materially from those contained in any forward-looking statement, including but not limited to the following: Aurora Mobile’s strategies; Aurora Mobile’s future business development, financial condition and results of operations; Aurora Mobile’s ability to attract and retain customers; its ability to develop and effectively market data solutions, and penetrate the existing market for developer services; its ability to transition to the new advertising-driven SAAS business model; its ability to maintain or enhance its brand; the competition with current or future competitors; its ability to continue to gain access to mobile data in the future; the laws and regulations relating to data privacy and protection; general economic and business conditions globally and in China and assumptions underlying or related to any of the foregoing. Further information regarding these and other risks is included in the Company’s filings with the Securities and Exchange Commission. All information provided in this press release and in the attachments is as of the date of the press release, and Aurora Mobile undertakes no duty to update such information, except as required under applicable law.
For more information, please contact:
Aurora Mobile Limited
E-mail: ir@jiguang.cn
Christensen
In China
Ms. Xiaoyan Su
Phone: +86-10-5900-1548
Email: Xiaoyan.Su@christensencomms.com
In U.S.
Ms. Linda Bergkamp
Phone: +1-480-614-3004
Email: linda.bergkamp@christensencomms.com
FAQ
What new capabilities did Aurora Mobile (JG) add to GPTBots.ai in February 2024?
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What recent LLM integration did Aurora Mobile (JG) add to GPTBots besides Audio LLM?
