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Contrast Security
Contrast Security is the world's leading provider of security technology that enables software applications to protect themselves against cyberattacks, heralding the new era of self-protecting software. Contrast's patented deep security instrumentation is the breakthrough technology that enables highly accurate assessment and always-on protection of an entire application portfolio, without disruptive scanning or expensive security experts. Only Contrast has sensors that work actively inside applications to uncover vulnerabilities, prevent data breaches, and secure the entire enterprise from development, to operations, to production. We are proud to have been named the only "Visionary" in the 2018 Gartner Magic Quadrant for Application Security Testing (AST). Other awards include: 2018 GOLD for Cyber Security Vendor Achievement of the Year - Info Security PG's Global Excellence Awards SILVER Stevie Award for Most Innovative Tech Company of the Year BRONZE Stevie Award for New Product or Service for the Year - Software - DevOps Solution 2017 Red Herring 100 Winner Stevie Awards GOLD winner for New Product or Service of the Year - Software Development Solution 2017 TiE50 top 50 Start-Ups Winner CRN Security 100 List SC Awards Rookie Security Company of the Year RSA Innovation Sandbox Finalist Jeff Williams for Cybersecurity Professional of the year, Cyber Security Excellence Award Info Security Products Global Excellence Awards Winner
IT Security
250 - 500 employees
Silicon Valley, California, United States
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Focal Systems
Focal Systemsᅢᄁ¬ツᆲ¬トᄁ platform helps retailers cut shelf scanning cost in half by switching from manual to automated shelf scans. The solution is based on low cost, discrete shelf cameras, a sophisticated computer vision model and a cloud-based machine learning platform that is tuned for complex retail environments. By providing automated, real-time insight into on-shelf product availability, retailers can repurpose store personnel to focus on customer experience and other higher value tasks. In addition, the real time data captured by the shelf cameras feeds into Focal Systemsᅢᄁ¬ツᆲ¬トᄁ AI engine which can help automate and optimize product availability and merchandising decisions. These optimizations have proven to save up to 50% on manual shelf scanning cost and significantly improve in-store customer experience via higher product availability which generates a 3-5% increase in sales compared to baseline stores. Focal Systemsᅢᄁ¬ツᆲ¬トᄁ platform is deployable at scale and will provide impactful results from day one. It also integrates with existing retail systems and applications to enable additional cost savings and insights from its real-time product availability and analysis. Focal Systemsᅢᄁ¬ツᆲ¬トᄁ shelf cams are deployed at scale with proven results at several major global retailers and every day process more than 10M shelf scan images.
Retail
50 - 250 employees
Silicon Valley, California, United States
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Rockset
Our Vision We believe that a data-driven world has the potential to make life better for everyone. Enterprises are still struggling to use complex data primarily because real-world data is messy and cannot be put to use easily. We are bridging the gap by changing the way data is stored, processed and accessed for making better, faster data-driven decisions and data powered apps. Empowering enterprises to unleash all their data is a difficult challenge that inspires us every day. Our Team Rockset's team has deep expertise in storage, data management and distributed systems. Members of our team started the Hadoop File System project back in 2006 that helped ignite the big data movement. We previously founded and led the creation of Facebook's online social graph serving engine and graph search projects - TAO, and Unicorn - that power all of Facebook's user facing and search products. Our team also helped build the original backend for Gmail at Google. On the enterprise side, members of our team have experience launching VMware's vSAN and building the industry's first nested virtualization in the cloud at Ravello. We intimately understand data, cloud and scale as well as the challenges and opportunities it creates for enterprises.
Analytics
50 - 250 employees
Silicon Valley, California, United States
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