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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EventsAir is the one platform you need for everything events. Execute engaging in-person, virtual, and hybrid events with a solution that supports you from start to finish. From built-in budgeting and accounting tools to breathtaking on-brand event sites and seamless registration experiences, EventsAir's all-in-one event management software makes event planning a breath of fresh...air.
With over 30 years of expertise, EventsAir has powered 350,000+ successful events, earning the trust of the industry's best to deliver seamless, standout experiences. We love dynamic and complex events, which is why we’ve built a comprehensive platform designed to grow and evolve alongside you.
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Eatron
Eatron's Intelligent Software Layer (ISL) represents an innovative approach aimed at maximizing the capabilities of batteries by improving their performance, increasing their longevity, and prioritizing safety. By utilizing our unique algorithms, we achieve remarkable State of Charge (SoC) accuracy of ±1%, which is significantly better than the industry standard of ±3%, while also ensuring a State of Health (SoH) accuracy of ±2% across the battery's lifespan, compared to the typical ±5%. This level of precision enables the extraction of optimal performance from batteries without sacrificing safety measures. Our patented method for forecasting Remaining Useful Life (RUL) integrates a comprehensive knowledge of battery chemistries with cutting-edge machine learning and AI technologies, facilitating real-time life predictions based on actual usage patterns. Continuous monitoring of battery health allows us to respond to changes within the pack, potentially prolonging operational life by as much as 25%. Furthermore, safety remains a top priority; our AI diagnostic tools can foresee cell failures weeks in advance with an impressive accuracy rate of 90%, ensuring reliable operation and peace of mind for users. This holistic approach not only enhances battery efficiency but also sets a new standard in the field of battery management technology.
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TWAICE
Our advanced battery analytics platform delivers state-of-the-art solutions for monitoring, analyzing, and optimizing battery performance. By utilizing a variety of machine learning techniques and battery-specific algorithms, we ensure accurate results across diverse scenarios. The platform features an API that allows for seamless integration with third-party applications, such as fleet management systems. Instead of relying on guesswork, laboratory experiments, and cumbersome manual data management, users can conduct virtual testing and enjoy automated handling of lab data. The model library enables users to effectively test battery cells in a virtual environment, further enhancing the development process. Our data management software solutions also facilitate the efficient organization of lab data, allowing for better decision-making. By utilizing field data analytics, you can optimize your development efforts. The TWAICE battery model library grants access to a wide array of high-fidelity electrical, thermal, and aging models of the latest lithium-ion battery cells available on the market today, ensuring that you have the most accurate and up-to-date resources for your projects. This comprehensive approach not only streamlines the research and development process but also significantly accelerates innovation in battery technology.
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