At SoundHound's second quarter earnings report meeting, the company announced that its revenue reached $40 million, a year-on-year increase of over 8 times, setting a new historical record. The performance growth covered all key business areas, including automotive, enterprise AI customer service, and AI automation in the restaurant industry. The meeting emphasized the company's rapid business recovery and leadership position through successful acquisition strategies, demonstrating strong market competitiveness and future growth potential.

By integrating multiple high-quality businesses, the company successfully built an AI solution with Polaris at its core, significantly improving customer experience and cost-effectiveness. Polaris surpasses competitors in terms of accuracy, latency, and cost, driving customer renewals and business expansion. The latest addition of Vision AI technology further enriches the interaction, accelerates the iteration of AI applications, and market acceptance, achieving significant synergistic effects in cost and revenue.

Agentic AI platforms, such as Amelia 7 and Chat AI, are rapidly expanding in the restaurant and automotive industries, facilitating new customer contracts and expanding existing customer base. The focus includes partnerships with fast food brands, IHOP, Red Lobster, as well as collaboration with top car manufacturers in China to drive vehicle intelligence using generative AI technology. The platform accelerates the construction of business ecosystems by providing convenient services such as food ordering, parking payment, and intelligent customer service solutions, with the expectation of bringing higher profits in the future.

Discussed the widespread application and collaboration of AI platforms in various fields such as healthcare, retail, and finance, focusing on the progress of projects with multiple large enterprises and partners, as well as the newly launched Agentic AI solutions. Emphasized the advanced features of the Amelia 7 platform, including multi-process framework, low-code development capabilities, and integration with high-quality speech recognition engines, aimed at enhancing customer experience and work efficiency, accelerating the adoption of AI technology in the enterprise market.

Shenggu's voice business solution is developing rapidly, attracting participation from several large automobile brands and global merchants in pilot projects. By integrating three pillars - voice assistants, AI customer service, and platform connections, Shenggu is committed to creating a seamless trading environment, providing a secure and convenient submission-free experience. The company plans to collaborate with platform giants to expand voice ordering functions to millions of users, demonstrating its technological strength and market demand. Shenggu's intelligent agent AI platform not only enhances customer value but also attracts attention from enterprises, automobile manufacturers, and the catering industry, accelerating the building of a voice business ecosystem.

The report highlighted the widespread application of AI technology in multiple vertical industries and the significant results brought by the integration of enterprises. Through technological integration, costs have been reduced, product performance has improved, customer satisfaction has increased, and enterprise revenue has grown by 217% year-on-year. Especially in the catering and automotive industries, the introduction of new solutions and deepening of existing customer relationships have driven rapid business growth. At the same time, enterprises have achieved customer diversification and stable revenue growth by strengthening channel cooperation and expanding market coverage.

The company reported both GAAP and non-GAAP financial data, and despite being impacted by acquisitions, it is expected to achieve profitability through cost synergies and product portfolio optimization. Research and development, sales and marketing, and general and administrative expenses have all increased, mainly due to acquisition activities. Adjusted EBITDA losses are expected to turn into profits by the end of the year, with the company emphasizing operational optimization opportunities driven by AI, while maintaining financial stability, being debt-free, and having ample cash reserves.

Discussed the contribution of several vertical sectors such as enterprise services, catering industry, and automotive industry to the organic growth of the quarter, emphasizing the synergistic effects of cross-domain product applications, as well as the promising prospects of voice AI and conversational AI.

Discussed how to achieve market differentiation in the field of voice technology, facing domestic and international competitors, through advantages such as technical quality and language coverage, especially in the application and expansion of the Chinese market.

Discussed how AI automation can accelerate internal process optimization, including reducing engineering requirements and increasing efficiency, as well as the application of AI in the sales and marketing fields. Mentioned the low penetration rate of AI applications among existing customers, indicating significant future market potential and growth opportunities, especially in the significant growth of AI's share in Opex budgets. Emphasized that with the growth of customer units and the development of new revenue streams, AI technologies such as speech AI and AI e-commerce are experiencing rapid development, and it is expected that market penetration rates will continue to increase.

The discussion revolved around the revision of guidance for 2025, discussing the reasons why Q2B performance was not fully reflected in the guidance, mentioning seasonal factors and possible conservative estimation strategies.

Discussed the quarterly volatility of the company's performance, emphasizing the importance of organic growth and potential acquisitions for future development. It was noted that the company's guidance does not include any additional acquisitions, but will be updated as necessary. Mentioned the long-standing partnership with Red Lobster, especially the continued support after their bankruptcy, demonstrating the company's determination to face challenges together with customers.

Discussed the role of AI and automation in addressing business challenges, pointing out that automation can help control costs and cut for businesses facing declining customer traffic; while for businesses with increasing demand, it can improve service speed and processing capabilities, emphasizing the flexibility and universality of automation strategies.

The dialogue mainly focuses on the review of the company's performance in the second quarter and the growth strategy for the second half of the year. Participants mentioned that despite seasonal factors such as market penetration in Europe, the slowdown in summer work pace, and the impact of industry-specific holidays, significant business growth is expected in the second half of the year, especially in the fourth quarter. Growth drivers will come from various aspects such as software sales, telephone ordering services, professional services, with outstanding performance from enterprise customers and the catering industry. In addition, the company has reduced customer churn and promoted the expansion of existing business by strengthening the customer success team. Optimizing indirect sales channels is also seen as a key driver for growth in the second half of the year.

The dialogue discussed the opportunities brought by new technologies in the automotive field such as cloud services, edge solutions, generative AI, and speech commerce, especially the potential in the Chinese market. At the same time, tariffs were mentioned as having an impact on the industry. Although the company is directly less affected, the indirect effects, especially on royalty income based on shipping volume, cannot be ignored. Despite facing challenges, the continued growth in AI investment provides opportunities for companies to engage in strategic conversations with customers.

Although the voice commerce function of Sheng Valley Technology has not directly contributed significantly to revenue, it has indirectly driven ARPU growth and business expansion by improving customer experience and transaction opportunities. Its application in automotive manufacturers and food brands demonstrates unique advantages, promoting more cooperation and project trials, indicating greater market potential in the future.

The conversation revolves around the use of technology and market expansion in the QSR industry (such as fast food chains), focusing on how to improve operational efficiency through technological innovation, including the application of technologies such as telephone ordering, self-service ordering, and voice ordering, as well as in-depth cooperation with major brands. In addition, it also discusses the potential market space for increasing revenue in the fast food industry in the next 2-3 years through technological innovation to enhance operational efficiency.