SoundHound
SoundHound AI is a conversational AI platform for building and deploying voice-native AI agents across customer service, commerce, employee operations, automotive, and other enterprise use cases. Its OASYS platform, or Orchestrated Agent System, provides a unified environment for creating agents that can understand spoken interactions, perform tasks, and operate across digital and physical touchpoints. The platform combines voice AI, agent orchestration, business rules, guardrails, optional human assistance, and integrations with enterprise systems to support reliable end-to-end conversations. Organizations can deploy SoundHound agents for contact centers, digital assistants, IT and HR service desks, restaurant ordering, front-desk automation, outbound engagement, voice commerce, and in-vehicle experiences. Security features include layered policy controls, sensitive-data detection and masking, tenant isolation, encryption, access controls, and traceable agent decision logs.
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EMQX
EMQX is the world's most scalable and reliable MQTT messaging platform designed by EMQ. It supports 100M concurrent IoT device connections per cluster while maintaining extremely high throughput and sub-millisecond latency.
EMQX boasts more than 20,000 global users from over 50 countries, connecting more than 100M IoT devices worldwide, and is trusted by over 300 customers in mission-critical IoT scenarios, including well-known brands like HPE, VMware, Verifone, SAIC Volkswagen, and Ericsson.
Our edge-to-cloud IoT connectivity solutions are flexible to meet the demands of various industries towards digital transformation, including connected vehicles, Industrial IoT, oil & gas, carrier, finance, smart energy, and smart cities.
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Journeyware
The future of the connected car experience: thin client application and cloud framework enabling consumer commerce, in-car media applications, mobile apps, and enterprise services. The Xevo Journeyware platform for cloud, car, and mobile devices enables multi-media applications, AI-driven contextual recommendations, and content delivery to give drivers and passengers an enhanced in-vehicle experience and provide automakers with new monetization opportunities. Components of Journeyware connected car platform are deployed in more than 25 million vehicles worldwide. Xevo Context recommendation engine utilizes Journeyware’s automotive AI technology to provide a dynamic, hyper-contextual user experience. This highly-relevant content is delivered as suggestions and offers based on drivers’ preferences, past behavior, time of day, vehicle location, current route, and more.
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Sensory Wake Word
Sensory Wake Word is an embedded voice-trigger technology that delivers accurate, low-power "hotword" detection for always-on voice interfaces. Pre-built wake words enable fast deployment with consistent accuracy across noisy real-world environments. Key capabilities include an ultra-low resource footprint (as little as 30-40KB code size on DSP), always-on and always-private operation with no cloud dependency, robust noise rejection, and platform-independent deployment across Windows, Linux, Android, macOS, and RTOS. Runs on a wide range of cores including ARM Cortex-M, Cirrus ADSP2, CEVA Teaklite, and Tensilica Hifi. Backed by over 30 years in embedded voice AI and billions of devices shipped worldwide with customers like Amazon, Apple, Google, BMW, Microsoft, and Samsung. Developers can build and test custom wake word models in hours using Sensory's VoiceHub self-service portal.
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