2017, Palo Alto
We are a small team of Stanford graduates and software engineers with extensive research experience in imaging, neuroscience, deep learning and artificial intelligence. We've previously built mission-critical products and infrastructure at companies like Apple, Google, Microsoft and Dropbox. We're on a mission to advance the state-of-the-art in Vision AI.
2014, San Francisco
Checkr’s mission is to build a fairer future by improving understanding of the past. Our platform makes it easy for thousands of customers to hire millions of people every year. Using Checkr’s advanced background check technology, companies of all sizes can better understand the dynamics of the changing workforce, bring transparency and fairness to their hiring, and ultimately build a better future for workers.
1998, Mountain View
Google LLC is an American multinational technology company that specializes in Internet-related services and products, which include online advertising technologies, search engine, cloud computing, software, and hardware. It is considered one of the Big Four technology companies, alongside Amazon, Apple and Facebook
2017, San Francisco
Klarity uses Artificial Intelligence to review sales contracts under your company legal policy. Klarity pulls contracts from your emails and databases and returns them reviewed in a Word format with annotations and redlines along with a summary. Your company experiences accelerated sales and higher compliance without having to think of contract review anymore.
2011, San Francisco
With patented AI analyzing billions of events daily across the world’s most complex IT environments, the Moogsoft AIOps platform helps the world’s top enterprises avoid outages, automate service assurance, and accelerate digital transformation initiatives.
, San Francisco
Our cutting-edge patient data analytics technology—powered by our purpose built, proprietary NLP and extensive health taxonomy—simplifies the risk adjustment process, resulting in increased coding accuracy and efficiency, reduced costs and better patient outcomes.
2013, San Francisco
Hive is a deep learning company solving visual intelligence challenges through three main pillars of the business: Hive Data, Hive Predict, and Hive Media. Hive Data is the world’s largest two-sided marketplace for machine learning data labeling.
2010, San Francisco
VoiceBase is defining the future of deep learning and communications by providing unparalleled access to spoken information for businesses to make better decisions. With flexible APIs developers and enterprises build scalable solutions with VoiceBase by embedding speech-to-text, conversational analytics, and predictive analytics capabilities into any big voice application.
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