Syntiant is moving artificial intelligence and machine learning from the cloud to edge devices. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors for always-on applications in battery-powered devices, such as smartphones, smart speakers, earbuds, hearing aids, and laptops.
It was founded in 2017 and is headquartered in Irvine, California.
Ponder Data Inc. specializes in providing enterprise-ready tools that facilitate rapid and flexible experimentation with data at scale. The company's platform is designed to enhance productivity for data teams by enabling them to obtain insights more swiftly, utilizing familiar tools. Ponder's technology focuses on maintaining scalable machine learning and analytics capabilities, allowing users to handle workloads of varying sizes while preserving the user-friendly nature of the pandas API. This approach empowers organizations to perform data science tasks efficiently and effectively, making it easier for teams to derive valuable insights from their data.
Intelligence Indeed Co., Ltd. is a company based in Shenzhen, China, founded in 2018, specializing in the design and development of intelligent software solutions, including robots and chatbots that automate various enterprise processes. The company offers a range of solutions, such as Finance solutions, which include risk control systems and data summary calculations; Communication operation solutions for automating customer service tasks; Logistic and Shipping solutions that facilitate cost estimation and work order management; and Digital Movement Solutions for internal reimbursement and tax management. By leveraging artificial intelligence and robotic process automation, Intelligence Indeed aims to enhance efficiency and reduce operational costs across various sectors, including finance, e-commerce, and customer service.
Landing AI is a company that specializes in artificial intelligence transformation programs tailored for the manufacturing industry. Founded in 2017 and based in Palo Alto, California, the company develops solutions focused on visual inspection, automation, calibration, and automated issue identification. Its offerings cater to a diverse range of sectors, including manufacturing, retail, automotive, agriculture, telecommunications, and pharmaceuticals. The company aims to empower organizations to become AI-driven by providing a platform that enhances the accuracy of machine learning models through effective data generation and labeling. This platform helps identify environmental issues and alerts users to model changes, thereby facilitating efficient data management and accelerating troubleshooting processes. Founded by Dr. Andrew Ng, a prominent figure in AI, Landing AI is positioned to deliver practical AI solutions that drive value for businesses globally.
NeuroBlade, founded in 2017 and based in Hod-Hasharon, Israel, specializes in developing artificial intelligence (AI) chips intended for the inference stage in data centers and end-devices. The company focuses on eliminating memory bottlenecks, allowing for efficient and accurate AI processing across various applications. By integrating its proprietary computational memory technology with a comprehensive software stack, NeuroBlade enhances the performance and affordability of devices from edge to data centers. This innovative approach addresses critical challenges in AI infrastructure, enabling businesses to achieve faster insights while reducing costs and power consumption.
Motivo Inc., founded in 2015 and based in Palo Alto, California, specializes in software development for the semiconductor integrated circuit (IC) sector. The company has created proprietary computational technologies that leverage graph analytics, artificial intelligence, and machine learning to enhance chip design analytics and optimization. By utilizing advanced data analytics, Motivo significantly improves yield rates for fabless design companies, facilitating faster product ramp-up and overall efficiency in the semiconductor manufacturing process. Its focus on explainable and interpretable AI further distinguishes its offerings, enabling clients to make informed decisions based on actionable insights derived from tera-scale data.
SambaNova Systems is a computing startup focused on building machine learning and big data analytics platforms. The company's software defined analytics platform enables optimum performance for any ML training, inference or analytics models.
cnvrg.io is a full-stack data science platform that helps enterprises manage and scale AI. Its collaborative end-to-end solution enables companies to accelerate innovation and build high impact machine learning models. From Fortune 500 companies to startups, cnvrg.io helps data scientists solve complex problems by building intelligent machines. The platform is used across industries by leading companies in finance, gaming, BI, automotive, manufacturing, e-commerce and more. cnvrg.io is backed by Hanaco, JVP VC and private investors Kevin Bermeister (Skype’s founding investor) and Prashant Malik (Co-creator of Cassandra).
SigOpt, Inc. operates an optimization platform designed to enhance model development across various applications, including web, mobile, machine learning, and physical experiments. Established in 2014 and based in San Francisco, California, SigOpt provides a REST API that seamlessly integrates into existing machine learning workflows. The platform employs a black-box optimization approach, allowing users to input parameter spaces and performance metrics without needing to share underlying training data. By continuously refining its models, SigOpt suggests optimal hyper-parameter configurations, thereby accelerating the development process and improving the reliability of results. In 2020, SigOpt became a subsidiary of Intel Corporation, further strengthening its position in the market.
Matroid, Inc. is a computer vision company based in Palo Alto, California, founded in 2016. It offers an intuitive platform that enables users to create and deploy custom computer vision detectors without the need for programming. The platform allows users to recognize specific people, events, and objects in visual media, monitor live television streams, and receive real-time notifications for custom events detected by security cameras. Matroid's solutions find applications across various industries, including construction, manufacturing, security, media, and retail. The company also provides Matroid On-Prem, a deployment solution that facilitates the monitoring of live streams and the searching of recorded video, enhancing the ability to respond to significant events as they occur.
VertaAI builds software infrastructure to help enterprise data science and machine learning (ML) teams develop and deploy ML models. Verta enables anyone to streamline your data science and ML workflows, and deploy models into production faster while ensuring real-time model health.
Common Sense Machines develops an artificial intelligence platform aimed at transforming photos and videos into 3D assets. Their technology, known as Real-to-Sim-to-Real, combines human-like learning capabilities with the speed and precision of machines. This innovative approach facilitates one-shot 3D perception and manipulation of everyday objects, allowing users to efficiently create game-engine-ready assets and accelerate their project goals. The platform is designed to enhance the way users interact with and utilize 3D simulations, making it easier to integrate realistic models into various applications.
SambaNova Systems is a computing startup focused on building machine learning and big data analytics platforms. The company's software defined analytics platform enables optimum performance for any ML training, inference or analytics models.
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.
Kyndi, Inc. is an artificial intelligence company that specializes in developing an explainable AI platform tailored for government, financial services, and healthcare sectors. Founded in 2014 and headquartered in San Mateo, California, with an additional office in Washington, D.C., Kyndi focuses on providing auditable AI systems that address the need for transparency in decision-making processes. The Kyndi AI Platform leverages machine learning to enhance business regulation and supports critical functions such as strategy, compliance, and research operations. By enabling organizations to avoid 'black box' machine learning, Kyndi empowers clients to gain insights from complex data, facilitating informed and decisive actions in a rapidly changing environment.
NeuroBlade, founded in 2017 and based in Hod-Hasharon, Israel, specializes in developing artificial intelligence (AI) chips intended for the inference stage in data centers and end-devices. The company focuses on eliminating memory bottlenecks, allowing for efficient and accurate AI processing across various applications. By integrating its proprietary computational memory technology with a comprehensive software stack, NeuroBlade enhances the performance and affordability of devices from edge to data centers. This innovative approach addresses critical challenges in AI infrastructure, enabling businesses to achieve faster insights while reducing costs and power consumption.
Landing AI is a company that specializes in artificial intelligence transformation programs tailored for the manufacturing industry. Founded in 2017 and based in Palo Alto, California, the company develops solutions focused on visual inspection, automation, calibration, and automated issue identification. Its offerings cater to a diverse range of sectors, including manufacturing, retail, automotive, agriculture, telecommunications, and pharmaceuticals. The company aims to empower organizations to become AI-driven by providing a platform that enhances the accuracy of machine learning models through effective data generation and labeling. This platform helps identify environmental issues and alerts users to model changes, thereby facilitating efficient data management and accelerating troubleshooting processes. Founded by Dr. Andrew Ng, a prominent figure in AI, Landing AI is positioned to deliver practical AI solutions that drive value for businesses globally.
SambaNova Systems is a computing startup focused on building machine learning and big data analytics platforms. The company's software defined analytics platform enables optimum performance for any ML training, inference or analytics models.
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.
Syntiant is moving artificial intelligence and machine learning from the cloud to edge devices. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors for always-on applications in battery-powered devices, such as smartphones, smart speakers, earbuds, hearing aids, and laptops.
It was founded in 2017 and is headquartered in Irvine, California.
Paperspace is a cloud computing platform that specializes in machine learning development, providing tools for building, training, and deploying machine learning models. The platform features a cloud-based virtual desktop that can be accessed via any web browser, making it user-friendly and accessible to a wide range of users, including individuals, startups, and enterprises. Paperspace emphasizes simplicity and offers community-driven technical resources along with straightforward pricing, enabling users to iterate quickly and collaborate on intelligent, real-time prediction engines. With its high-performance capabilities, Paperspace supports efficient workflows for developing advanced machine learning applications.
Lumiata is transforming the healthcare enterprise through the application of AI. Bringing predictive power within reach of data science teams and business users, we’re driving predictability and precision at scale — empowering providers and payers to reduce risk and manage costs and move out of reliance on flat data into a future of insights. Lumiata machine learning tools and pre-trained models comprise a scalable platform purpose-built for healthcare. Lumiata products are built from more than 120 million patient records, in-depth clinical knowledge, and its proprietary clinical IP. Lumiata enables healthcare organizations to explore use cases such as underwriting and care management. Lumiata is proud to be backed by Khosla Ventures, Blue Venture Fund, Defy.vc, and AllegisNL Capital. Team Lumiata is distributed across Silicon Valley, Dallas, and Guadalajara, Mexico.
Syntiant is moving artificial intelligence and machine learning from the cloud to edge devices. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors for always-on applications in battery-powered devices, such as smartphones, smart speakers, earbuds, hearing aids, and laptops.
It was founded in 2017 and is headquartered in Irvine, California.
Avaamo is a deep-learning software company based in Los Altos, California, established in 2014. The company specializes in developing a conversational artificial intelligence platform that automates customer service and enhances employee experience. Avaamo's technology integrates machine learning and conversation design with existing enterprise workflows, enabling organizations to efficiently design and deploy virtual assistants and enterprise bots. The company's mobile application, available on both Android and iOS, consolidates communications into a secure interface, further streamlining interactions. Additionally, Avaamo has formed a strategic partnership with Tech Mahindra to expand its offerings and capabilities in the enterprise sector.
Gamalon, Inc. is a Boston-based company founded in 2013 that specializes in statistical machine learning solutions. It develops an AI-driven platform that utilizes Bayesian probabilistic programming to enhance machine intelligence. This technology allows businesses to convert unstructured text into structured data, enabling them to interpret customer communications effectively. By linking and summarizing messages, Gamalon's platform helps enterprises extract valuable insights and make informed decisions, improving customer experiences. The company's approach enables e-commerce and manufacturing sectors to train their systems with minimal data while achieving high accuracy, similar to that of more resource-intensive neural networks.
Large scale enterprise software is going through a 10-year disruption. AI will be embedded into every major business process and piece of enterprise software. Based in Toronto, Canada, our full stack, cloud-native machine learning platform and two flagship AI applications (Promotion Manager & Customer LifeCycle Manager) automate and improve mass promotional planning and loyalty driven marketing for our multi-billion dollar retailers. We believe that making intelligent decisions can be made easier with AI and today we have multi-billion-dollar clients with retail brands operating in North America, Europe, and Asia.
Lumiata is transforming the healthcare enterprise through the application of AI. Bringing predictive power within reach of data science teams and business users, we’re driving predictability and precision at scale — empowering providers and payers to reduce risk and manage costs and move out of reliance on flat data into a future of insights. Lumiata machine learning tools and pre-trained models comprise a scalable platform purpose-built for healthcare. Lumiata products are built from more than 120 million patient records, in-depth clinical knowledge, and its proprietary clinical IP. Lumiata enables healthcare organizations to explore use cases such as underwriting and care management. Lumiata is proud to be backed by Khosla Ventures, Blue Venture Fund, Defy.vc, and AllegisNL Capital. Team Lumiata is distributed across Silicon Valley, Dallas, and Guadalajara, Mexico.
LeapMind Inc., founded in 2012 and based in Tokyo, Japan, specializes in developing hardware architecture and software platforms that facilitate deep learning applications. The company focuses on making deep learning more compact and accessible, which it refers to as the "Deep Learning of Things" (DoT). LeapMind's innovative approach includes designing algorithms that enhance the accuracy of neural network models while reducing their computational complexity, enabling their use in small computing environments. Additionally, the company conducts research on original chip architectures that efficiently implement deep neural networks on circuits with low power consumption and limited memory.
Matroid, Inc. is a computer vision company based in Palo Alto, California, founded in 2016. It offers an intuitive platform that enables users to create and deploy custom computer vision detectors without the need for programming. The platform allows users to recognize specific people, events, and objects in visual media, monitor live television streams, and receive real-time notifications for custom events detected by security cameras. Matroid's solutions find applications across various industries, including construction, manufacturing, security, media, and retail. The company also provides Matroid On-Prem, a deployment solution that facilitates the monitoring of live streams and the searching of recorded video, enhancing the ability to respond to significant events as they occur.
Element AI Inc. provides artificial intelligence solutions (AI) for organizations to identify opportunities to use artificial intelligence and machine learning and build AI solutions. It operates an AI as a Service (AIaaS) platform that enables businesses to launch and incubate AI solutions in partnership with large corporations. The company also operates a research and development laboratory that conducts research to deploy AI in computing infrastructure. It provides its products to insurance, banking and capital markets, manufacturing, logistics, retail, and consumer packaged goods industries. Element AI Inc. was founded in 2016 and is headquartered in Montreal, Canada with an additional office in Toronto, Canada.
CognitiveScale is a provider of enterprise Cognitive Cloud™ software, a new class of big data interpretation and machine learning systems, which accelerate decision making, enhance customer engagement and improve employee productivity.
CognitiveScale's industry and enterprise optimized cognitive processes and applications for healthcare, commerce, employee service, and procurement deliver Insights as a Service powered by our Insights Fabric™ Cognitive Cloud platform.
Continuously learning, CognitiveScale's Deep Cognition technology uses advanced machine intelligence to transform massive amounts of multi-structured data, including text, images, sensor data, video and “dark data,” into cognitive insights that prescribe contextual action to end users and businesses.
Mighty AI delivers training data to companies that build computer vision models for autonomous vehicles. Its platform combines guaranteed accuracy with scale and expertise, thanks to its full stack of annotation software, consulting and managed services, proprietary machine learning, and global community of pre-qualified annotators.
Founded in 2014, Mighty AI is headquartered in Seattle, Washington.
CognitiveScale is a provider of enterprise Cognitive Cloud™ software, a new class of big data interpretation and machine learning systems, which accelerate decision making, enhance customer engagement and improve employee productivity.
CognitiveScale's industry and enterprise optimized cognitive processes and applications for healthcare, commerce, employee service, and procurement deliver Insights as a Service powered by our Insights Fabric™ Cognitive Cloud platform.
Continuously learning, CognitiveScale's Deep Cognition technology uses advanced machine intelligence to transform massive amounts of multi-structured data, including text, images, sensor data, video and “dark data,” into cognitive insights that prescribe contextual action to end users and businesses.
Movidius is a company specializing in vision processing technology, focusing on the design of compact, high-performance, ultralow power chips intended for computational imaging and vision processing. Its products include software, development tools, and reference designs aimed at creating intelligent and contextually aware experiences for users in mobile and wearable devices, as well as various consumer and industrial camera applications. Headquartered in San Mateo, California, Movidius operates as a venture-backed start-up with investments from several notable venture capital firms.
Nervana is a technology company founded in 2014 and headquartered in San Diego, California. It specializes in machine learning and artificial intelligence, offering a software-as-a-service platform that enables businesses to develop custom deep learning applications. The company's flagship product, Nervana Cloud, provides a comprehensive software solution that utilizes deep learning techniques to facilitate the creation of intelligent applications. Founded by experts in various fields, including machine learning, neuroscience, and chip design, Nervana aims to simplify and scale the use of brain-inspired algorithms in technology development.
Lumiata is transforming the healthcare enterprise through the application of AI. Bringing predictive power within reach of data science teams and business users, we’re driving predictability and precision at scale — empowering providers and payers to reduce risk and manage costs and move out of reliance on flat data into a future of insights. Lumiata machine learning tools and pre-trained models comprise a scalable platform purpose-built for healthcare. Lumiata products are built from more than 120 million patient records, in-depth clinical knowledge, and its proprietary clinical IP. Lumiata enables healthcare organizations to explore use cases such as underwriting and care management. Lumiata is proud to be backed by Khosla Ventures, Blue Venture Fund, Defy.vc, and AllegisNL Capital. Team Lumiata is distributed across Silicon Valley, Dallas, and Guadalajara, Mexico.
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.
ParallelM is the first and only fully dedicated MLOps company. Their software platform, MCenter, helps their customers automate the deployment, scaling and ongoing management of ML services in production.
BlueData offers a cloud-based software platform that enhances the deployment of AI, machine learning, data science, and big data analytics solutions for enterprises. By utilizing container technology, particularly Docker, BlueData enables faster and more cost-effective access to essential applications such as Spark, Kafka, TensorFlow, and Hadoop. The platform is designed to streamline the deployment process, allowing organizations to achieve quicker time-to-value while reducing overall costs. BlueData's innovations empower businesses to access analytics and machine learning capabilities on-demand, facilitating efficient management of their big data infrastructure.
Dialogflow is a conversational user experience platform enabling brand-unique, natural language interactions for devices, applications, and services. Developers can use Dialogflow services for speech recognition, natural language processing (intent recognition and context awareness), and conversation management to quickly and easily differentiate their business, increase customer satisfaction, and improve business processes. They can also leverage pre-built knowledge packages across a diverse collection of popular topics built from over two and a half billion user queries processed by the system. When enabled, agents can understand thousands of diverse requests out of the box, no coding required.
MindMeld, Inc. is an advanced AI platform that specializes in developing conversational interfaces for applications and devices. Founded in 2011 and headquartered in San Francisco, California, the company creates voice interfaces that enhance user interaction by incorporating question-answering and language-understanding capabilities. MindMeld's technology enables users to easily browse music and video content, check weather updates, and control connected home devices. By leveraging machine learning, the platform facilitates more natural interactions with voice and chat assistants, allowing users to efficiently find and navigate information across various applications. In December 2015, the company changed its name from Expect Labs, Inc., and as of May 2017, it operates as a subsidiary of Cisco Systems, Inc.
Dialogflow is a conversational user experience platform enabling brand-unique, natural language interactions for devices, applications, and services. Developers can use Dialogflow services for speech recognition, natural language processing (intent recognition and context awareness), and conversation management to quickly and easily differentiate their business, increase customer satisfaction, and improve business processes. They can also leverage pre-built knowledge packages across a diverse collection of popular topics built from over two and a half billion user queries processed by the system. When enabled, agents can understand thousands of diverse requests out of the box, no coding required.
ColdLight is a leader in advanced analytics, predictive technology, and machine learning science. At the center is Neuron, a secure and flexible automated learning engine that learns from massive amounts of data, discover patterns, and then delivers mathematically validated recommendations directly to the business teams that can take action. Neuron can be deployed as a SaaS cloud service, minimizing any infrastructure impact for its customers.
Emotient specializes in automated facial expression recognition and analysis, utilizing artificial intelligence to identify and interpret human emotions. Originating from the Machine Perception Lab at the University of California, San Diego, the company has become a leader in the field, pioneering the application of machine learning for facial expression analysis. This innovative technology has emerged as a vital component in developing emotionally aware technologies, enhancing the responsiveness of personal computing devices and improving customer engagement. Emotient's proprietary methodology is recognized for its accuracy and capability to deliver real-time analysis of facial expressions, setting a benchmark in the industry.
Dialogflow is a conversational user experience platform enabling brand-unique, natural language interactions for devices, applications, and services. Developers can use Dialogflow services for speech recognition, natural language processing (intent recognition and context awareness), and conversation management to quickly and easily differentiate their business, increase customer satisfaction, and improve business processes. They can also leverage pre-built knowledge packages across a diverse collection of popular topics built from over two and a half billion user queries processed by the system. When enabled, agents can understand thousands of diverse requests out of the box, no coding required.
BlueData offers a cloud-based software platform that enhances the deployment of AI, machine learning, data science, and big data analytics solutions for enterprises. By utilizing container technology, particularly Docker, BlueData enables faster and more cost-effective access to essential applications such as Spark, Kafka, TensorFlow, and Hadoop. The platform is designed to streamline the deployment process, allowing organizations to achieve quicker time-to-value while reducing overall costs. BlueData's innovations empower businesses to access analytics and machine learning capabilities on-demand, facilitating efficient management of their big data infrastructure.
MindMeld, Inc. is an advanced AI platform that specializes in developing conversational interfaces for applications and devices. Founded in 2011 and headquartered in San Francisco, California, the company creates voice interfaces that enhance user interaction by incorporating question-answering and language-understanding capabilities. MindMeld's technology enables users to easily browse music and video content, check weather updates, and control connected home devices. By leveraging machine learning, the platform facilitates more natural interactions with voice and chat assistants, allowing users to efficiently find and navigate information across various applications. In December 2015, the company changed its name from Expect Labs, Inc., and as of May 2017, it operates as a subsidiary of Cisco Systems, Inc.
BlueData offers a cloud-based software platform that enhances the deployment of AI, machine learning, data science, and big data analytics solutions for enterprises. By utilizing container technology, particularly Docker, BlueData enables faster and more cost-effective access to essential applications such as Spark, Kafka, TensorFlow, and Hadoop. The platform is designed to streamline the deployment process, allowing organizations to achieve quicker time-to-value while reducing overall costs. BlueData's innovations empower businesses to access analytics and machine learning capabilities on-demand, facilitating efficient management of their big data infrastructure.
Dialogflow is a conversational user experience platform enabling brand-unique, natural language interactions for devices, applications, and services. Developers can use Dialogflow services for speech recognition, natural language processing (intent recognition and context awareness), and conversation management to quickly and easily differentiate their business, increase customer satisfaction, and improve business processes. They can also leverage pre-built knowledge packages across a diverse collection of popular topics built from over two and a half billion user queries processed by the system. When enabled, agents can understand thousands of diverse requests out of the box, no coding required.
Shanghai Xiaoi Robot Technology Co., Ltd specializes in artificial intelligence (AI) technologies and applications, providing solutions across multiple industries, including telecommunications, finance, government, e-commerce, and healthcare. Founded in 2001 and based in Shanghai, the company has developed an extensive industrial knowledge base and a sophisticated human-machine dialogue engine. Its offerings encompass a wide range of core AI technologies, such as natural language processing, speech recognition, machine learning, and big data analytics. Xiaoi Robot operates a robust AI cloud service platform that enhances AI output through real user data, boasting over 1 billion users and facilitating more than 100 billion interactions globally. The company is recognized for its innovation, holding numerous national patents in areas like natural language processing and human-machine interaction. Through its diverse product portfolio, Xiaoi Robot generates revenue from software and cloud platform services, as well as maintenance and support services.