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Compact Solutions is a Oakbrook Terrace, IL-based company in the Software and Internet sector.
Threat Stack enables businesses of all sizes to securely leverage the benefits of cloud computing by identifying and verifying insider threats, external attacks, and data loss in real time. Purpose built for today`s infrastructure, Threat Stack`s comprehensive intrusion detection platform combines continuous security monitoring and risk assessment to help companies gain an unparalleled level of visibility at the speed and scale of today`s business. Located in Boston, Massachusetts, Threat Stack works with nearly 400 security-minded customers.
Medrio is a San Francisco, CA-based company in the Software and Internet sector.
D4 is a leading national provider of managed data and discovery services to law firms and corporations. D4 was one of the first providers to offer an eDiscovery Managed Services solution, which launched in 2011. D4 has been instrumental in helping customers realize up to a 70% cost reduction over previous eDiscovery solutions. The company`s state-of-the-art data center operations in Rochester are complemented by electronic discovery and litigation support offices throughout the country. D4 has been recognized by Inc. Magazine as one of the fastest-growing private companies in the US for four consecutive years.
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.