SMS Storetraffic
Smart, efficient, anonymous People Counters & Analytics to the real world.
Our solution allows for easy deployment, capture, analysis, and reporting of the number people who enter a physical place. Optionally, we can also capture and report occupancy in real time.
We assist Retailers, Universities, Casinos, Places of Worship, Office Buildings, and other industries in analyzing and taking action on their people traffic trends.
We offer a special package for retailers to measure performance on traffic, including conversion rate and service levels. Our direct integrations make it easy to combine POS data with staff data. The Retail Equation simulator lets users run simulations to improve sales. It can also be used as a learning tool to understand how traffic, staffing, conversion rates, and quality service relate.
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AthenaHQ
AthenaHQ is a powerful platform focused on Generative Engine Optimization (GEO), helping brands improve their AI search visibility and brand perception across AI-powered search engines. It offers tools to track brand mentions, identify gaps in AI-generated content, and enhance content to align with AI’s evolving preferences. With features like daily tracking, competitor analysis, and source intelligence, AthenaHQ provides actionable insights to help businesses stay relevant in an AI-dominated search landscape. The platform's AI-powered capabilities enable businesses to optimize content and drive more meaningful engagement through generative search.
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Waymo
Waymo, a pioneer in autonomous driving technology, focuses on the development of self-driving vehicles and offers fully driverless transportation services. Initially launched as Google's self-driving car initiative in 2009, it evolved into a standalone subsidiary of Alphabet with the mission of enhancing safety, accessibility, and efficiency in transportation through the use of autonomous technology. Central to its operations is the Waymo Driver, a sophisticated system that integrates artificial intelligence with high-resolution cameras, radar, lidar sensors, and intricate digital maps, enabling vehicles to understand their environment and traverse roads autonomously. The system is designed to constantly evaluate traffic signals, pedestrians, other vehicles, and road conditions to make immediate driving decisions that prioritize safety. Prior to entering a new geographic location, Waymo meticulously maps the area, capturing detailed information about lane markings, signage, and intersections, which is then paired with real-time sensor data to ensure accurate vehicle positioning. This comprehensive approach not only enhances the effectiveness of its technology but also ensures a reliable and secure driving experience for passengers.
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Helm.ai
We provide licensing for AI software that spans the entire L2-L4 autonomous driving framework, which includes components like perception, intent modeling, path planning, and vehicle control. Our solutions achieve exceptional accuracy in perception and intent prediction, significantly enhancing the safety of autonomous driving systems. By leveraging unsupervised learning alongside mathematical modeling, we can harness vast datasets for improved performance, bypassing the limitations of supervised learning. These advancements lead to technologies that are remarkably more capital-efficient, resulting in a reduced development cost for our clients. Our offerings include Helm.ai's comprehensive scene vision-based semantic segmentation, integrated with Lidar SLAM outputs from Ouster. We facilitate L2+ autonomous driving capabilities with Helm.ai on highways 280, 92, and 101, which encompasses features such as lane-keeping and adaptive cruise control (ACC) lane changes. Additionally, Helm.ai excels in pedestrian segmentation, utilizing key-point prediction to enhance safety. This includes sophisticated pedestrian segmentation and accurate keypoint detection, even in challenging conditions like rain, where we address corner cases and integrate Lidar-vision fusion for optimal performance. Our full scene semantic segmentation also accounts for various road features, including botts dots and faded lane markings, ensuring reliability across diverse driving environments. Through continuous innovation, we aim to redefine the boundaries of what autonomous driving technology can achieve.
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