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Top Tech Companies (397)

Machine Learning
21 Employees

Bedrock's software takes syndicated & retail data (Nielsen, IRI, Spins, Whole Foods, etc) and transforms it into dynamic selling stories for consumer product goods (CPG) sales managers. The software gives sales & marketing managers easy to apply data-based selling stories that are fine tuned to do three things - sell more products in to retail, keep customers'​ products in retail and find ways to optimize their categories. Bedrock’s next generation software platform utilizes machine learning to make faster and smarter recommendations for our customers. We have a broad set of customers ranging from small natural foods companies to multi-national conglomerates. Bedrock Analytics is a venture-backed high-growth technology company based in the San Francisco Bay Area. Contact us to schedule a demo.


Machine Learning
101 Employees

Guardian Analytics fights modern crime with a modern platform. We are the pioneer and leading provider of behavioral analytics and machine learning solutions for fraud detection and anti-money laundering software for financial institutions and enterprise organizations. Our solutions include Digital Banking Fraud Detection for Mobile and Online, Real-Time Payment Fraud Detection for Wire and ACH. Anti-Money-Laundering solutions that include Link Analysis and FinCEN reporting, addressing AML compliance requirements on a single platform, streamlining the case filing process. Hundreds of financial institutions have standardized on Guardian Analytics’ innovative solutions to mitigate fraud risk and stop the sophisticated criminal attacks targeting retail, commercial, and enterprise banking clients. With Guardian Analytics, financial institutions build trust, increase competitiveness, improve their customer experience, enhance compliance and scale operations. To learn more, visit our website: www.guardiananalytics.com


Machine Learning
10 Employees

We build tactical cognitive computing technology that handles the boring stuff so that humans can focus on creativity and judgment.Our enterprise software completes large, complex workflows just like a team of humans, but within an instant. Our products can be specifically configured and trained for your problem. * Process millions of inputs to deliver actionable insights on a single page. * Expose knowledge in your documents via a personalized interface like a chatbot. * Answer specific questions or look for specific information from any source. * Utilize a combination of capabilities to automate any language driven workflow. We follow a tactical approach to cognitive computing: * We deliver 95-98% accurate solutions within 4-12 weeks * We are priced for a varying scale, esp. when compared with our competitors like IBM Watson * (Technical) We don't need vast sets of Homogenous Labelled Data to train Visit our website to see usecases (www.coseer.com)


Machine Learning
10 Employees

MindMeld is a technology company based in San Francisco, California. Our Deep-Domain Conversational AI platform is the first technology platform that enables companies to build intelligent conversational interfaces for any application or device. The world’s most innovative companies use our platform to power next-generation voice and chat assistant


Machine Learning
644 Employees

Founded in 2013 and based in the San Francisco Bay Area, Zymergen integrates automation, machine learning, and genomics to rapidly accelerate the pace of scientific advancement. We treat the genome as a search space, leveraging machine learning to make discoveries far beyond the bounds of human intuition. In doing so, we deliver economic value, material diversity and performance capabilities not previously possible.


Machine Learning
79 Employees

Rakuten Slice is online shopping, smarter. Rakuten Slice’s technology automatically identifies e-receipts within inboxes and extracts every data point about every purchase to create digital commerce products that delight consumers and create business value for partners. Rakuten Slice is transforming online shopping and retail by unveiling never-before-seen digital commerce data via its e-commerce intelligence products, APIs and consumer applications. Rakuten Slice operates a market research business, Rakuten Intelligence. With a methodology grounded in science, only we offer vital intelligence that is the pulse of the digital economy--actual purchases directly from online shoppers, on any device or location, reported daily. This is high-definition data. Rakuten Intelligence is led by a team of measurement industry executives who have brought some of the most innovative and successful digital measurement products to market. Learn more at www.rakutenintelligence.com and on twitter @Rakuten_intel. Based in San Mateo, CA, as an independent, wholly-owned subsidiary of Rakuten. About Our Culture We are a curious, creative team of people who love to solve big, challenging problems. We foster a culture of learning and thrive on continuous improvement through teamwork to build better products and a better company. We were founded by proven entrepreneurs and offers the best of both words: a start-up with the backing of an established global company that is revolutionizing the internet services landscape, Rakuten. Rakuten Slice was incubated as a research project at Stanford, where the best and brightest minds in machine learning set forth how to extract business value from the vast amount of unstructured purchase data from inboxes. When we took that project out of the lab and to the market, we retained the culture of excellence and personal growth, with respect for a healthy work-life balance. Because we love what we do and care about the people we work with.


Machine Learning
122 Employees

Drawbridge is on a mission to leverage artificial intelligence and machine learning to build and democratize scaled identity technologies. Today, Drawbridge is the go-to destination for cross-device, people-based identity management solutions, with clients from every industry leveraging our technology to provide great experiences for their customers. The company is headquartered in Silicon Valley, is backed by Sequoia Capital, Kleiner Perkins Caufield Byers, and Northgate Capital. Drawbridge has been listed on CNBC’s annual Disruptor 50 list of groundbreaking companies twice, named one of Fortune’s 50 Companies Leading the AI Revolution, and has been included on the Inc. 500 list of fastest growing companies in America for two consecutive years.


Machine Learning
79 Employees

Rakuten Slice is online shopping, smarter. Rakuten Slice’s technology automatically identifies e-receipts within inboxes and extracts every data point about every purchase to create digital commerce products that delight consumers and create business value for partners. Rakuten Slice is transforming online shopping and retail by unveiling never-before-seen digital commerce data via its e-commerce intelligence products, APIs and consumer applications. Rakuten Slice operates a market research business, Rakuten Intelligence. With a methodology grounded in science, only we offer vital intelligence that is the pulse of the digital economy--actual purchases directly from online shoppers, on any device or location, reported daily. This is high-definition data. Rakuten Intelligence is led by a team of measurement industry executives who have brought some of the most innovative and successful digital measurement products to market. Learn more at www.rakutenintelligence.com and on twitter @Rakuten_intel. Based in San Mateo, CA, as an independent, wholly-owned subsidiary of Rakuten. About Our Culture We are a curious, creative team of people who love to solve big, challenging problems. We foster a culture of learning and thrive on continuous improvement through teamwork to build better products and a better company. We were founded by proven entrepreneurs and offers the best of both words: a start-up with the backing of an established global company that is revolutionizing the internet services landscape, Rakuten. Rakuten Slice was incubated as a research project at Stanford, where the best and brightest minds in machine learning set forth how to extract business value from the vast amount of unstructured purchase data from inboxes. When we took that project out of the lab and to the market, we retained the culture of excellence and personal growth, with respect for a healthy work-life balance. Because we love what we do and care about the people we work with.


Machine Learning
106 Employees

Paxata is the pioneer in intelligently empowering all business consumers to transform raw data into ready information, instantly and automatically, with an intelligent, self-service data preparation application built on a scalable, enterprise-grade platform powered by machine learning. Our Adaptive Information Platform weaves data into an Information Fabric from any source, any cloud or environment, for any enterprise to create trusted information. With Paxata, use clicks, not code to achieve results in minutes, not months. We empower all business consumers to get smart about information at the speed of thought. Be an Information Inspired Business.


Machine Learning
106 Employees

Paxata is the pioneer in intelligently empowering all business consumers to transform raw data into ready information, instantly and automatically, with an intelligent, self-service data preparation application built on a scalable, enterprise-grade platform powered by machine learning. Our Adaptive Information Platform weaves data into an Information Fabric from any source, any cloud or environment, for any enterprise to create trusted information. With Paxata, use clicks, not code to achieve results in minutes, not months. We empower all business consumers to get smart about information at the speed of thought. Be an Information Inspired Business.


Machine Learning
31 Employees

The Human Diagnosis Project (also referred to as “Human Dx”) is a worldwide effort to build an open medical intelligence system that maps the steps to help any patient. By combining collective intelligence with machine learning, Human Dx intends to enable more accurate, affordable, and accessible care for all.


Machine Learning
78 Employees

Strategy. Intelligence. Optimization. Nor1 delivers industry leading upsell products and solutions all built on a core platform that combines a machine learning based decision engine with an optimized operational process. This enables hotels to enhance the guest stay and generate greater revenue throughout the entire reservation life cycle. The combination of hospitality experience, historical data intelligence and well designed, sophisticated algorithms ensure that hotel companies utilizing the Nor1 platform are able to price, present and sort offers to maximize conversion and profitability. With over 4,000 installs representing more than 1,000,000 rooms worldwide, Nor1 has developed new and innovative enterprise scaled products and consultative services. These products and services provide hotel companies with extraordinary opportunities to take control of their guest engagement and revenue destiny.


Machine Learning
79 Employees

Rakuten Slice is online shopping, smarter. Rakuten Slice’s technology automatically identifies e-receipts within inboxes and extracts every data point about every purchase to create digital commerce products that delight consumers and create business value for partners. Rakuten Slice is transforming online shopping and retail by unveiling never-before-seen digital commerce data via its e-commerce intelligence products, APIs and consumer applications. Rakuten Slice operates a market research business, Rakuten Intelligence. With a methodology grounded in science, only we offer vital intelligence that is the pulse of the digital economy--actual purchases directly from online shoppers, on any device or location, reported daily. This is high-definition data. Rakuten Intelligence is led by a team of measurement industry executives who have brought some of the most innovative and successful digital measurement products to market. Learn more at www.rakutenintelligence.com and on twitter @Rakuten_intel. Based in San Mateo, CA, as an independent, wholly-owned subsidiary of Rakuten. About Our Culture We are a curious, creative team of people who love to solve big, challenging problems. We foster a culture of learning and thrive on continuous improvement through teamwork to build better products and a better company. We were founded by proven entrepreneurs and offers the best of both words: a start-up with the backing of an established global company that is revolutionizing the internet services landscape, Rakuten. Rakuten Slice was incubated as a research project at Stanford, where the best and brightest minds in machine learning set forth how to extract business value from the vast amount of unstructured purchase data from inboxes. When we took that project out of the lab and to the market, we retained the culture of excellence and personal growth, with respect for a healthy work-life balance. Because we love what we do and care about the people we work with.


Machine Learning
78 Employees

Strategy. Intelligence. Optimization. Nor1 delivers industry leading upsell products and solutions all built on a core platform that combines a machine learning based decision engine with an optimized operational process. This enables hotels to enhance the guest stay and generate greater revenue throughout the entire reservation life cycle. The combination of hospitality experience, historical data intelligence and well designed, sophisticated algorithms ensure that hotel companies utilizing the Nor1 platform are able to price, present and sort offers to maximize conversion and profitability. With over 4,000 installs representing more than 1,000,000 rooms worldwide, Nor1 has developed new and innovative enterprise scaled products and consultative services. These products and services provide hotel companies with extraordinary opportunities to take control of their guest engagement and revenue destiny.


Machine Learning
247 Employees

CrowdFlower is now Figure Eight. Figure Eight is the essential Human-in-the-Loop Machine Learning platform. The Figure Eight technology platform uses machine learning assisted annotation solutions to create the high quality training data needed by models to work in the real world. Figure Eight supports a wide range of computer vision and natural language processing use cases — video object tracking, autonomous vehicles, robotics, predictive maintenance, facial recognition, medical images, aerial and satellite imagery, consumer product detection, content categorization, intelligent chat bots, document transcription, voice assistant training, audio transcription, sentiment analysis, product categorization, and search relevance – and a broad range of industries – automotive, financial services, media and entertainment, retail and ecommerce, technology, agriculture, manufacturing, medical and healthcare, power and utilities, security and surveillance, transportation and travel, and government. The Figure Eight platform operates at an unprecedented scale having generated over 10 billion training data labels to power real world AI applications. For more information on the company, visit www.figure-eight.com


Machine Learning
114 Employees

BigPanda Autonomous Operations platform helps IT Ops, NOC and DevOps teams detect, investigate, and resolve IT incidents faster and more easily than ever before. Powered by Open Box Machine Learning, BigPanda correlates IT noise into insights, automates incident management, and unifies fragmented IT operations. Customers such as Intel, TiVO, Turner Broadcasting and Workday rely on BigPanda to reduce their operating costs, improve service availability and performance, and de-risk and accelerate their digital transformation initiatives. Founded in 2012, BigPanda is backed by top-tier investors including Sequoia Capital, Mayfield, and Battery Ventures. Visit www.bigpanda.io for more information.


Machine Learning
145 Employees

We’re building the platform that enables thousands of data scientists to develop better medicines, grow more productive crops, build better cars, or simply recommend the best song to play next. Data scientists are being called upon to solve ever more complex problems across every facet of business and civil life. Domino allows them to develop and deploy ideas faster with collaborative, reusable, reproducible analysis. Domino is backed by leading venture capital firms, including Coatue Management, Sequoia, Zetta Venture Partners, Bloomberg Beta, and In-Q-Tel.