A：The company has begun to deepen its market penetration in the automotive sector and is working with a major sports car brand to develop a unique in-vehicle assistant personality. Additionally, they have rolled out their chat AI voice assistant in Europe for Jeep vehicles, and it has seen promising results with existing customers like Lucid Tug. The company has also expanded into the German market and signed deals with prominent telematics companies in India and a multinational commercial fleet vehicle company in Italy.

A：The company has continued to work with major global financial institutions, signing additional service deals and renewal contracts. They've also entered into a new enterprise technology deal with a prominent organization supporting credit unions in the US and signed a new contract with a large utilities company in the US. In insurance, they have expanded their partnership with a global insurance company and announced the deployment of the Amelia platform with a leading hospital system and a French insurer.

A：The company has introduced a new product called Voice Insights, aimed at brands needing a precursor to full automation due to missing APIs and infrastructure. Voice Insights provides real-time analysis of customer and employee interactions to measure efficiency and satisfaction. In healthcare, they've partnered with a precision medicine provider and a hospital system to deploy the Amelia platform and renew their relationship with a leading health care company. They've also made progress with a major multinational brand in retail and consumer goods.

A：The company is aggressively expanding its product suites and customer engagement, evidenced by updates to the Amelia 7 platform and new partnerships with technology services distributors, CRM AI and workforce engagement management providers, and managed cybersecurity service companies. These partnerships are a result of the company's growing leadership in enterprise AI, and the deals include collaborations with major brands across various industries and new patents to leverage for innovation.

A：The voice commerce solution has advanced to include features like voice ordering for various services and is set for full production in 2026. The company has partnered with multiple Oems and merchants and completed live voice orders from cars, with transactions being completed successfully. They are on track to make announcements early next year and are driving new conversations with smart TV manufacturers to enable in-home voice ordering through partnerships with tech platform giants.

A：The company plans to have a prominent presence at the Consumer Electronics Show (CES) in January, showcasing their solutions with participation from several partners.

A：The company's strong results are significant as they indicate that large companies are turning to the company for AI solutions to meet their goals, and the company is at the forefront of addressing a massive market opportunity in AI.

A：The company is performing strongly in the market, having successfully delivered on scaling from financial services to healthcare, technology, and retail, in addition to their existing footprints in automotive and restaurants. Their voice and conversational AI suite has been embedded deeply into market leading services across these diverse sectors.

A：Signs of improvement in the company's automotive business include the momentum around their pillar II voice commerce solution and the diversification of their industry mix, which has reduced the impact of any single sector on their overall growth.

A：The company is accelerating the adoption curve and customer realization of AI's massive benefits through aggressive investments to fortify and expand their competitive advantages while deepening customer relationships. This investment strategy is translating into go-to-market investments and product capability expansion.

A：For the third quarter, the company's revenue was $40 million, up year-over-year. GAAP and non-GAAP gross margins were both up from the prior quarter. GAAP and non-GAAP net loss per share were 3 cents in the quarter. Adjusted EBITDA was a loss of $14.5 million, and OIE (Other Income Expenses) was $7.1 million of income for the quarter.

A：The company is being thoughtful and sensitive to the journeys of their customers, carefully managing the pace of onboarding to ensure interoperability with other AI platforms. They are seeing positive outcomes such as improved net promoter scores, customer satisfaction, and containment rate improvements.

A：The company's revenue is mostly recurring. In the automotive business, license recognition for voice capabilities in cars being shipped provides ongoing revenue as long as mega Oems continue to ship cars under the contract duration.

A：Revenue for SaaS products is mainly recurring and fixed price up to certain levels of interactions, with pricing escalating to the next level if customer activity grows. Immediate revenue recognition occurs upon deploying edge solutions where the company passes over a license. The majority of revenue is recurring SaaS, but there is a diversification in the product suite, with more outcome-based trends as AI solutions deliver value aligned with the customer's economic interests.

A：The company believes in its vision of enabling major shifts through voice AI that permits humans to interact with technology via natural conversations. This vision is gaining traction across multiple industries such as automotive, restaurants, healthcare, and financial services. The company's technology is leading in speech recognition and real-time understanding and conversation capabilities, which supports growth across these industry verticals.

A：The company focuses on its horizontal platform and the potential for widespread application across many industries. They are cautious when entering niche areas like workflow integrations and partner with companies that have a deeper presence in specific industries, like Samsung in restaurants and Square in appointment reservation systems.

A：The competitive environment is seen as attractive with various new and established competitors. The company believes it has a deep competitive moat due to 20 years of innovation and its own technology, leading to superior performance in production compared to new players using third-party APIs. The company's deep experience allows it to move swiftly from demo to production with high quality and offers models that beat competitors in accuracy, latency, and cost.

A：Pricing pressure is a concern as the company transitions from old technology to new, but the key is demonstrating innovation that provides value and pricing alignment. The company has shown that it can maintain or even increase prices by bringing innovations like generative AI to market, which can justify a higher cost due to the significant value it adds to the customer experience.