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Compendia Bioscience is a Ann Arbor, MI-based company in the Software and Internet sector.
Flserv is a Norcross, GA-based company in the Software and Internet sector.
2WEB DESIGN Inc. is a Saskatoon, SK-based company in the Software and Internet sector.
Cedexis provides Web-scale, end-user-experience monitoring and real-time traffic routing across multiple clouds and networks. Cedexis` Radar crowd sources billions of real user measurements (RUM) a day from a community of over 500 enterprises. Radar data provides real-time visibility into how cloud/network performance is impacting the experience of Web and mobile application users. Openmix uses this insight to route traffic for best performance, or availability, or cost, or any mix of the three. Cedexis is trusted by over 500 global brands including Accor Hotels, Airbus, Cartier, Comcast, LinkedIn, Mozilla, Nissan and Shutterstock. Cedexis is headquartered in Portland, Oregon with offices in Paris, France, San Francisco, CA, Brooklyn, NY and London, UK.
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.