Aurora Mobile’s GPTBots.ai Launches Advanced Audio LLM Capabilities

Rhea-AI Summary

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.

Positive

• 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

Negative

• None.

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?

Aurora Mobile added advanced Audio LLM capabilities to GPTBots.ai, enabling real-time voice-to-voice communication powered by OpenAI's native audio multimodal LLM, eliminating traditional ASR and TTS processes.

How does GPTBots.ai's new Audio LLM integration benefit business operations?

The Audio LLM integration reduces latency, supports multiple languages, and enables seamless interaction with knowledge bases and workflows, improving customer engagement and operational efficiency.

What is the strategic importance of Audio LLM for Aurora Mobile's (JG) GPTBots platform?

The Audio LLM update is a strategic step toward developing a comprehensive AI SDR solution, aimed at revolutionizing sales processes through automated, voice-driven interactions.

What recent LLM integration did Aurora Mobile (JG) add to GPTBots besides Audio LLM?

Aurora Mobile recently integrated DeepSeek, a lightweight LLM known for domain-specific optimizations, to provide more scalable and cost-effective AI solutions.