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Top Tech Companies (1,079)

Big Data
80 Employees

Unifi provides a seamlessly integrated suite of self-service data tools that include Governance & Security, Catalog & Discovery, Data Preparation, Community Collaboration, AI and ML assisted processing and is Cloud-Optimized. Governed by IT and operated by business users, Unifi alleviates data bottlenecks and delivers faster business insights.


Big Data
3,088 Employees

Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to unleash the world’s creative energy by designing a more enlightened way of working. Headquartered in San Francisco, Dropbox has more than 12 offices around the world


Big Data
35 Employees

Founded in 2015, Instabase's mission is to advance the state of the art by building tools that help people solve important problems, make discoveries, and create new breakthroughs.


Big Data
23 Employees

Swish Analytics provides sports predictions and analytics by using in-depth historical data and proprietary algorithms. In the age of information overload, we do the technical heavy lifting to provide the end consumer with simplistic metrics, stats and forecasts that matter. Our platform serves fans, bettors and media partners via licensing and subscription based services/products.


Big Data
40 Employees

Skymind is an open-source, enterprise deep-learning provider based in San Francisco, California. We help large corporate teams build deep-learning applications for media, images and sound and time series data for finance, healthcare, telecommunications and the Internet of Things. We're a team of deep-learning specialists and Java engineers, and the proud creators of the world's first open-source, distributed, commercial-grade deep-learning framework: Deeplearning4j.org. We're looking for business partners to distribute our deep-learning apps. If you'd like to work together, contact us through the link below.


Big Data
111 Employees

OmniSci (formerly MapD) is the pioneer in GPU-accelerated analytics, redefining speed and scale in big data querying and visualization. The OmniSci platform is used to find insights in data beyond the limits of mainstream analytics tools. Harnessing the massive parallel computing power of GPUs, the platform is available in the cloud and on-premise. OmniSci originated from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).


Big Data
47 Employees

Cloud-Based Document Management and Document Scanners


Big Data
145 Employees

Datameer is an analytics lifecycle platform that helps enterprises unlock all their raw data. The cloud-native platform was built for the complexity of large enterprises—yet it’s so easy to use that everyone from business analysts to data scientists to data architects can collaborate on a centralized view of all their data. Without any code, teams can rapidly integrate, transform, discover, and operationalize datasets to their projects. Datameer breaks down data siloes, gets companies ahead of their data demands, and empowers everyone to discover insights. Datameer works with customers from every industry including Dell, Vodaphone, Citibank, UPS, and more. Learn more at datameer.com.


Big Data
89 Employees

Easily the world’s most powerful network analytics, Kentik® uses real-time flow analysis, uniquely enriched with business and internet context to help enterprises and service providers protect revenue and reputation. Kentik’s SaaS platform is built on a patented big data engine to deliver modern network analytics that is both powerful and easy to use.


Big Data
9 Employees

Are you ready for the machine learning age? If you answer "Yes"​ to any of these questions, Nexla can help. 1. Would you rather spend more time using your data than working to access it? 2. Do you want to quickly and easily experiment with new data sources? 3. Have you used FTP, Dropbox, or Github to send data? Nexla is building the data operations platform for the machine learning age. We help you automate your data operations so you can get to work. We're seed funded by leading VCs and angel investors. Passionate about solving hard data problems? Join the team! http://careers.nexla.com/


Big Data
107 Employees

Unravel radically simplifies the way businesses understand and optimize the performance of their modern data applications – and the complex pipelines that power those applications. Providing a unified view across the entire stack, Unravel’s data operations platform leverages AI, machine learning, and advanced analytics to offer actionable recommendations and automation for tuning, troubleshooting, and improving performance. By operationalizing how you do data, Unravel’s solutions support modern big data leaders, including Kaiser Permanente, TIAA, Adobe, Deutsche Bank, Wayfair, and Neustar. The company is headquartered in Palo Alto, California, and is backed by Menlo Ventures, GGV Capital, M12, Data Elite Ventures, and Jyoti Bansal. To learn more, visit unraveldata.com.


Big Data
74 Employees

The Striim platform is an end-to-end streaming data integration and operational intelligence solution enabling continuous query/processing and streaming analytics. With Striim, you can get to know your data – and sort out what’s important – the instant it’s born. Striim specializes in integration from a wide variety of data sources – transaction/change data, events, log files, application and IoT sensor data – and real-time correlation across multiple streams. Add structure, logic and rules to streaming data. Define time windows for analysis. Detect outliers, visualize events of interest, and trigger alerts and automated workflows – all within milliseconds. Striim is the only non-intrusive, enterprise-strength offering that combines streaming integration and intelligence in a single platform. Streaming data can be enriched with reference/historical data for instant context, at-speed and at-scale. And the entire solution can be built using a SQL-like language. Respond faster to your customers, make better decisions, and grow your business with Striim.


Big Data
13 Employees

Dashbot is an analytics platform for chatbots and voice skills that enables enterprises and developers to increase user satisfaction, engagement, and monetization through actionable insights and tools. In addition to traditional metrics like engagement and retention, we provide conversational specific analytics like NLP response effectiveness, sentiment analysis, message funnels, and full chat transcripts. We also provide tools to take action on the data like our live person take over of chat sessions. We support any conversational interface including Alexa, Google Assistant, Facebook, Slack, Kik, SMS, web-based chat, and more. You can sign up for free at https://www.dashbot.io


Big Data
56 Employees

Terracotta, the leader in in-memory technologies for enterprise Big Data, is the innovator behind some of the most widely used software for application scalability, availability and performance. Headquartered in San Francisco, Terracotta serves the majority of Global 2000 companies as customers and boasts more than 2.5 million software installations worldwide. The company’s flagship BigMemory platform is an in-memory data management solution delivering performance at Big Data scale. Terracotta’s other leading solutions include Ehcache, the award-winning de facto caching standard for enterprise Java, and Quartz Scheduler, a leading job scheduler. Terracotta is a wholly-owned subsidiary of Software AG (Frankfurt TecDAX: SOW). For more information, visit www.terracotta.org.


Big Data
7 Employees

Vinsight is an application that aggregates geospatial data, weather data, and ground sensor based data to provide the wine industry with analytics for what is happening on the vine. Our goal is to improve yield and revenue for grape growers while providing ultimate insight and transparency to all areas of the value chain.Visit our website for more information and up to date news www.vinsight.co


Big Data
37 Employees

Semarchy is the Intelligent Data Hub™ company. Its xDM platform solves for enterprise Master Data Management (MDM), Application Data Management (ADM), and Collaborative Data Governance challenges at some of the most well-known brands across the US and Europe. This agile platform leverages smart algorithms and material design to simplify data stewardship, quality, enrichment, and workflows. Organizations use the xDM platform to address challenges such as The Global Data Protection Regulation (GDPR). xDM from Semarchy is implemented via an agile and iterative approach that delivers business value almost immediately and scales to meet enterprise complexity. In fact, over 80% of Semarchy clients have a fully functional solution in under 10 weeks.


Big Data
51 Employees

We aim to drive the cloud storage revolution by extending our proven architecture and optimizing it to enable the next wave of agile, flexible, elastic, and hybrid cloud IT infrastructure. Our microservices based cloud native storage and data platform have been built to meet the demands of the next generation of applications while simplifying and redefining IT workflows and reducing the overall cost of IT. We aim to make the dream of infrastructure as code a reality for our customers. Our proven storage solution has been widely validated by users across a wide range of industries, from hedge funds, private equity firms and retail banking to global e-commerce, aerospace, and defense, enterprise software development and biotech sectors, and across a broad range of demanding use cases. We have won numerous awards and have garnered strong industry recognition from leading analysts including Forrester Research, IDC, 451 Group, ESG, and Frost & Sullivan. The 451 Group recently asked, “Has Reduxio reached the end game before anyone else? Forrester named us as “one of 3 vendors disrupting the storage industry.” Headquartered in Silicon Valley, and with development operations in Israel. Reduxio is backed by C5 Capital Cloud Partners, Jerusalem Venture Partners (JVP), Viola Ventures, Intel (NASDAQ: INTC) and Seagate Technology PLC (NASDAQ: STX).


Big Data
19 Employees

Augment is a leader in customer experience-driven artificial intelligence (AI). Augment’s human-in-the-loop AI uniquely empowers your employees to deliver a superior customer experience by surfacing the best information and answers across the enterprise in real time. Augmented agents deliver improved brand experience through messaging and live chat applications preferred by consumers, and then convert more of these interactions into customer delight and revenue. Augment AI powers Fortune 500 brands around the world. For more information please see www.augmenthq.com.


Big Data
1 Employees

Hackerlist is a realtime job marketplace for submitting and completing highly skilled software contracts. At the core of the company is Hackerlist's "A-Team", a handpicked team of World Class software engineering specialists who focus exclusively on the hardest problems in the industry. Our A-Team consists of experts with backgrounds including: Erlang, Haskell, Clojure, Go, Scala, C, Python, Javascript, objective c, Computer Vision, MPIs, MPP, Data Mining, AI/ML & NLP, Scalable Databasing, mobile performance. Hackerlist also produces enterprise technology and software solutions, such as the "Insight" product line, for discovering and measuring engineering talent.


Big Data
3 Employees

acuteIQ is a data and analytics company that has developed and maintains a proprietary database containing data and insights on over 21 million US businesses. We are particularly focused on small to medium sized business data which tends to be harder to find. Our data can be leveraged for lead generation, research, prefill and other uses. In addition to our core data, we supplement our information to meet the needs of clients by a process of research, analysis and enrichment. We have developed methods and machine learning techniques that help us match and harmonize data across disparate sources. You would be surprised how many ways a business name can be represented across multiple data sources. And don’t even get us started on addresses! We are data geeks and love the challenges . Although we work with anyone that has a need for business data, we are particularly well versed in the needs of the insurance industry. We have many years of insurance experience and we understand the unique challenges of how data can impact things like underwriting, prospecting and rating.