Explore Top Tech Companies
All Filters
Office Type

Industry

Size

Open Jobs

Remote Jobs

Perks

DEI

Tech Stack

Top Tech Companies (1,079)

Big Data
49 Employees

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. VoiceBase’s customers and partners include Tableau, Amazon Web Services, The Home Depot, Twilio, Vonage/Nexmo and Nasdaq. The company is privately held and is based in San Francisco, California. For more information on VoiceBase visit www.voicebase.com


Big Data
474 Employees

Absolutdata products and services deliver scalable business impact across the enterprise by combining cutting edge AI and ML with its heritage in analytical frameworks, business understanding and technology. Absolutdata’s NAVIK AI Platform for the enterprise blends AI, technology, data and analytics to serve as the intelligence layer for forward-thinking companies. To quickly get clients AI empowered, the NAVIK AI Platform has a suite of pre-built AI solutions, or it can be licensed and customized using Absolutdata’s deep bench of data scientists and engineers. The growing suite of AI-powered SaaS solutions that run on the NAVIK AI Platform include: • NAVIK SalesAI | AI guidance that leads the whole sales team to perform at a higher level. • NAVIK MarketingAI | Customer driven marketing that gets the most ROI from every marketing dollar. • NAVIK ResearchAI | AI enabled algorithmic platform that advances market research into the 21st century. • NAVIK MicroMods | Plug-n-play machine learning algorithms built for specific analytical needs Our mission is to transform how the world makes decisions. Since 2001 we’ve connected data to business results for global brands. During this time, we have amassed a powerful suite of AI-based products and advanced analytics services that give clients a competitive edge. Visit us at https://www.absolutdata.com Learn more at https://www.absolutdata.com/blog/ Follow us on Twitter @Absolutdata


Big Data
7 Employees

Cask makes building and running big data solutions on-premises, in the cloud or in hybrid environments easy with Cask Data Application Platform (CDAP), the first unified integration platform for big data. CDAP reduces the time from prep to production for data lakes and data applications by 80%, empowering the business to make better decisions faster. CDAP is open source and accelerates time to value from Hadoop and Spark through standardized APIs, configurable templates and visual interfaces. With a radically simplified developer experience and a code-free self-service environment, CDAP enables enterprise IT to broaden the big data user base and seamlessly integrates with existing MDM, BI and security and governance solutions. As a standardization layer on top of big data platforms such as EMR, HDInsight, GCS, Cloudera, Hortonworks and MapR, CDAP provides the following essential capabilities: -Abstraction of data in a Hadoop/Spark environment through logical representations of underlying data; -Integration of components of the big data ecosystem into a single platform; -Portability of data lakes and data applications through decoupling underlying infrastructures; -APIs, services and self-service tools that enable faster application development and deployment; and -Higher degrees of operational control in production through enterprise best practices. Based in Palo Alto, CA, the company is backed by leading investors including Safeguard Scientifics, Battery Ventures, Ignition Partners and Andreessen Horowitz. Cask customers and partners include AT&T, AWS, Cloudera, Ericsson, Google, Hortonworks, IBM, MapR, Microsoft, Salesforce, Tableau, Thomson Reuters, and others. For more information, visit the Cask website at cask.co and follow @caskdata.


Big Data
34 Employees

Pacific54 is a provider of search engine optimization, web development, conversion tracking & optimization and social media services.


Big Data
2 Employees

GroupHub is an online benefits marketplace for small business. For brokers/agents that traditionally build group benefits and process enrollment by paper and fax, our platform offers a new way of working with their clients. A single dashboard with powerful analytics and seamless integration with carriers take the time, data entry, and errors out of group management. No more spreadsheets & no more paperwork. For employers we make it easy to offer and manage benefits for their employees. The enrollment process is intuitive and seamless and our powerful dashboard and analytics enables employers to stay up-to-date and informed about their offerings and expenditures. For employees/group members, they can enroll in all group benefits from a single unified application and access a personalized portal to manage their benefits that integrates with the latest technologies.


Big Data
13 Employees

LotaData transforms mobile geolocation signals into "People Intelligence"​. We analyze “why people are where they are, what is on their minds, and what they might do next” with the highest attention to privacy and data protection. Geolocation is a strong indicator of intent. Connected devices send back trillions of anonymized location signals every day. LotaData transforms this data into deep insights about people presence, activity, movement and behaviors in the real world. We are a B2B SaaS platform for telcos, mobile service providers, businesses, academia, smart cities and local government.


Big Data
26 Employees

SigOpt is the optimization platform that amplifies your research. SigOpt takes any research pipeline and tunes it, right in place. Our cloud-based ensemble of optimization algorithms is proven and seamless to deploy, and is used by globally recognized leaders within the insurance, credit card, algorithmic trading and consumer packaged goods industries.


Big Data
1,543 Employees

Gracenote, a Nielsen company, is the world leader in entertainment data and services. Whether you know it or not, Gracenote plays a big role in your digital lifestyle, powering the most popular music, movie and TV, and sports services on the planet. At its core, Gracenote helps connect people with the digital entertainment they love. We do this by offering the largest database for music, sports, movies and TV shows, and creating best in class services and technologies, all on a highly scalable platform. Gracenote was acquired by Nielsen in 2017 and now has 1,800 employees working in more than 25 locations around the world including Los Angeles, Queensbury, Sao Paulo, Amsterdam, Munich, Mumbai, Sydney, Seoul and Tokyo. Our worldwide headquarters are in Emeryville, Calif. For more information, visit www.gracenote.com.


Big Data
1,232 Employees

Talend is a next generation leader in cloud and big data integration. Our open, adaptive, and unified integration platform gives companies the data agility needed to rapidly adopt the latest technology innovations and scale to meet the constantly evolving data demands of the business. With over 1500 global enterprise customers across a range of industries, including Air France, GE and Lenovo, Talend is a proven partner on the journey to being data-driven.


Big Data

Neal Analytics helps companies turn data into a valuable asset and a competitive advantage. Whether it's trying to understand past performance or predict the future, our team of expert analysts and data scientists will work with you to find the untapped value that's hidden in the ever-growing forest of data inside and outside your business.


Big Data
6 Employees

Large scale topical influencers mining and search. Technology: - Large scale expertise mining using social data - Identification and classification of influencers along topics - Topical influencers search with ranking Initial Product: Topical content search and discovery using inductive ranking and relevance from topical influencers


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
7 Employees

Cask makes building and running big data solutions on-premises, in the cloud or in hybrid environments easy with Cask Data Application Platform (CDAP), the first unified integration platform for big data. CDAP reduces the time from prep to production for data lakes and data applications by 80%, empowering the business to make better decisions faster. CDAP is open source and accelerates time to value from Hadoop and Spark through standardized APIs, configurable templates and visual interfaces. With a radically simplified developer experience and a code-free self-service environment, CDAP enables enterprise IT to broaden the big data user base and seamlessly integrates with existing MDM, BI and security and governance solutions. As a standardization layer on top of big data platforms such as EMR, HDInsight, GCS, Cloudera, Hortonworks and MapR, CDAP provides the following essential capabilities: -Abstraction of data in a Hadoop/Spark environment through logical representations of underlying data; -Integration of components of the big data ecosystem into a single platform; -Portability of data lakes and data applications through decoupling underlying infrastructures; -APIs, services and self-service tools that enable faster application development and deployment; and -Higher degrees of operational control in production through enterprise best practices. Based in Palo Alto, CA, the company is backed by leading investors including Safeguard Scientifics, Battery Ventures, Ignition Partners and Andreessen Horowitz. Cask customers and partners include AT&T, AWS, Cloudera, Ericsson, Google, Hortonworks, IBM, MapR, Microsoft, Salesforce, Tableau, Thomson Reuters, and others. For more information, visit the Cask website at cask.co and follow @caskdata.


Big Data
67 Employees

SwiftStack innovations power multi-cloud data management for Enterprises, enabling freedom to move workloads between clouds with universal access to data across on-premises and public infrastructure. When your unstructured data is stored in a single namespace backed by cloud storage, more of your users and applications can access it over a longer period of time. This unlocks new opportunities for collaborating on data and simplifying infrastructure management as data grows. SwiftStack uniquely enables existing applications to store data that is directly usable by cloud-native applications, and vice versa. As a result, storage silos are eliminated, making for faster and more accurate insights from data.


Big Data
558 Employees

App Annie delivers the most trusted app data and insights for your business to succeed in the global app economy. Over 1 million registered members rely on App Annie to better understand the app market, their businesses and the opportunities around them. The company is headquartered in San Francisco with 15 global offices. App Annie has received $157 million in financing from investors such as e.ventures, Greenspring Associates, Greycroft Partners, IDG Capital Partners, Institutional Venture Partners and Sequoia Capital.


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
22 Employees

Gridspace turns streaming conversational speech audio into useful data and service metrics.


Big Data
187 Employees

Aiming for Disruption At Scality, we give freedom and control to people create value with data. Proven with 500 million users and 1 trillion objects, Scality delivers software-defined storage solutions since 2009. We are disrupting the industry to make unlimited, affordable storage accessible to everyone. This takes exceptional technology, along with exceptional people. War of Ideas We are a diverse team, representing more than 20 nationalities from over 10 countries, working from 7 global offices. We are looking for talented individuals who are energized by innovating, thinking big, focusing-in and teaming up; people who give and take constructive feedback for continuous learning and growth with the support of the company. We see limitless potential for each individual, and provide an environment where you will be constantly challenged to innovate and collaborate. For more information about the company, visit: www.scality.com or follow @Scality on Twitter. To discover the company culture, view the Scality Book at http://speedingup.scality.com/


Big Data
51 Employees

ROBIN is the industry’s first hyper-converged Kubernetes platform for big data, databases, and AI/ML. The platform provides a self-service App-store experience for the deployment of any application, anywhere – runs on-premises in your private data center or in public-cloud (AWS, Azure, GCP) environments. ROBIN facilitates simpler and faster roll-out of critical Enterprise IT and LoB initiatives, such as containerization, cloud-migration, cost-consolidation and developer productivity, solves the fundamental challenges of running big data and databases in Kubernetes and enables the deployment of an agile, and flexible Kubernetes-based infrastructure for your Enterprise Applications. With a team that includes industry veterans from leading enterprise technology companies such as NetApp, Oracle, and Veritas, Robin Systems seeks to disrupt the $20 billion-plus virtualization market with its hyper-converged Kubernetes platform. The San Jose California-based company is backed by leading investors such as Clear Ventures, DN Capital, USAA, Hasso Plattner Ventures and CloudScale Capital Partners. To learn more about our progress or to explore exciting opportunities at Robin, please visit us at www.robinsystems.com.


Big Data
2 Employees

At Wibi, we believe that data intelligently applied can revolutionize user experience - and experience is everything. Founded in 2010 and based in San Francisco, Calif., WibiData is backed by Canaan Partners, New Enterprise Associates, SV Angel and several notable seed investors. We are always looking for brilliant people to join our team. For more information, visit www.wibidata.com. Featured customer: The Neiman Marcus brand exemplifies personalized customer service, and has done so for the 107 years it's been in business. With today's digitally connected shoppers spending less time in physical stores and more time on the web and mobile devices, the company saw an opportunity: to translate data about customers' styles, tastes, and preferences into informed digital experiences that emulate the high-touch personal shopping experience Neiman Marcus has been delivering to loyal customers in store. By adopting WibiRetail -- built upon open source technologies including Cassandra, Hadoop, HBase, Kiji, Scalding, and Cascading -- Neiman Marcus is at the forefront of retail innovation, leveraging the power of real-time machine-learning to deliver the superior customer experience that its brand was built on.