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NovuMind helps companies put the power of AI in their products and services. Our NovuTensor chip is an industry first, performing tensor computation at the speed of silicon and providing breakthrough performance-to-power ratios. Our full stack of deep learning tools makes it easy to use NovuTensor in a range of applications, from embedded to cloud. AI will transform many industries, from healthcare to transportation. But there have been barriers to widespread adoption. One has been the computational power demanded by deep learning deployment. Once a neural network model has been trained, it is deployed in an end-user application where it provides inference intelligence, such as real-time object detection in video. Running the deployed model in real-time is computationally intensive. This becomes a stumbling block if the app must run in a device with a limited power budget. An alternative may be to rely on computational acceleration in the cloud, but scaling that to support large numbers of users may also be a challenge. Power and cooling requirements can make it prohibitive to operate inference acceleration at large scale in the data center, with traditional CPU/GPU-based approaches. Another barrier has been the lack of AI expertise. Few companies have the luxury of an in-house AI team. Model selection, training and tuning are part art and part science, relying on the experience of engineers who have deployed deep learning in real-world applications. NovuMinds mission is to eliminate these barriers, so that companies of all sizes, in all industry sectors, can unleash the full power of AI. The NovuMind team has deep expertise in AI, chip design, and high-performance computing. We have 25 team members in USA and 15 in China. Our entire team is passionate about enabling AI in products and services that will make the world a better place.
Riverbend Capital Group is a Saint Louis, MO-based company in the Software and Internet sector.
Advanced Health Media is a Microsoft Certified Partner company that supplies a combination of custom technology and management services to provide the only comprehensive solution for program management and compliance administration specifically designed
Sift Science is a hyper-growth Series C company that facilitates the largest trust network of online businesses and consumers on the internet. The Sift Science Trust PlatformTM uses real-time machine learning to accurately predict which users businesses can trust, and which ones they can`t. The upshot? Consumers know which companies they can entrust with their personal and financial information. And businesses can customize each user`s experience based on their trust score – which leads to more revenue, higher conversion rates, and less fraud and abuse.
ObservePoint provides the market-leading enterprise Data Quality Assurance Platform that maximizes return on marketing technology by thoroughly identifying, analyzing, and testing javascript-based technologies deployed on web sites. The largest organizations around the world leverage ObservePoint technology to improve data quality, provide transparency into data collection methods, monitor and systematically protect vital business metrics. ObservePoint`s Data Quality Assurance Platform helps your team make better decisions off of better data. Audits are cloud-based technology that allows digital marketers to perform large-scale scans of entire online properties to assess the quality of data in third-party marketing tools. Audits identify advertising, analytics, tag management, personalization, and many other third-party technology integrations which can be impacted by data loss, data inflation, and data corruption. Simulations provide real-time metrics protection on critical web site content: purchase funnels, advertising inventory, high-traffic landing pages, and conversion tracking tags. Simulations frequently test the technology behind this critical content to protect business metrics as well as user experience. Tag Debugger is a free extension for Google Chrome that exposes data that is sent behind-the-scenes for the purpose of in-context tag debugging. Debugger clearly identifies which technologies are collecting data and exposes the data transaction.