Citi

Concentric AI, founded in 2018 and headquartered in San Jose, California, specializes in a Semantic Intelligence solution that addresses data risk challenges for enterprises. Its platform utilizes deep learning technology to analyze the content and context of sensitive documents stored both in the cloud and on-premises. By scanning various types of documents, including those containing personally identifiable information (PII), confidential data, and financial statements, the platform identifies potential risks and highlights critical concerns that require immediate attention. This approach allows organizations to discover, monitor, and protect their sensitive data without needing prior knowledge of high-value content or placing the burden on end-users, ultimately simplifying deployment and accelerating time to value.

Endor Labs specializes in enhancing application security by managing open-source software dependencies. The company provides a Dependency Lifecycle Management Platform designed to tackle vulnerabilities within the software supply chain, particularly the unmanaged proliferation of open-source software in enterprises. By streamlining the selection, security, and maintenance of software dependencies, Endor Labs aids developers in adopting safe open-source solutions, thereby accelerating development processes and reducing the time spent on security issues. The platform supports clients in maximizing code reuse and implementing microservices architectures, ultimately simplifying the complexities associated with software engineering.

Datavolo is a SaaS company that allows organizations to harness the power of their unstructured data.

MerQube is a cloud-native indexing platform that specializes in the design, calculation, and dissemination of financial indices at scale. The company offers a wide range of robust financial indices encompassing equities, futures, options, and ESG (Environmental, Social, and Governance) factors. MerQube's platform is equipped with custom calculation services and provides historical performance data, catering to the needs of financial professionals. Their expertise includes various types of indices, from market-capitalization weighted to risk-premia, volatility, and thematic indices. Additionally, MerQube supports clients with research and development, index construction, new product launches, and compliance and governance, making it a key player in the passive indexing market.

Securiti Inc. specializes in AI-driven cybersecurity and data protection solutions. The company has developed PRIVACI.ai, a comprehensive PrivacyOps platform that automates privacy compliance functions, enabling organizations to manage data security, governance, and compliance effectively. Securiti offers a range of solutions, including automated fulfillment of data subject requests, personal data discovery, internal assessment tracking, and third-party privacy assessments. Additionally, the company provides tools for managing consent lifecycles across various online platforms and applications. Securiti's Data Command Center serves as a centralized platform for data intelligence and orchestration in hybrid multicloud environments, allowing large enterprises to ensure the safe use of data, particularly with emerging technologies like Generative AI. Incorporated in 2018 and based in San Jose, California, Securiti has received multiple industry accolades for its innovative approach to data privacy and security.

Quantifind, Inc. is a data science company that specializes in creating on-demand insights platforms aimed at enhancing marketing effectiveness and detecting financial crimes such as money laundering and fraud. Founded in 2008 by two Ph.D. graduates in atomic physics, the company offers several key products, including signum Analysis, which helps users assess performance drivers for brands and competitors; signum Voice, which focuses on revenue drivers; and signum Impact, which measures the effects of sponsorships on brand awareness and sales. Additionally, Quantifind's platform integrates internal financial institution data with public domain data to identify risks, thereby assisting financial crime analysts in minimizing false positive alerts and managing risk. The company serves various sectors, including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecommunications, and has established a strategic partnership with Oracle Financial Services. Quantifind is headquartered in Menlo Park, California, with additional offices in Silicon Valley, New York, and Washington, D.C.

Acin is a market-defining fintech company that is on a mission to make banks safer and transform the financial industry’s approach to non-financial risk, through the use of data.

MerQube is a cloud-native indexing platform that specializes in the design, calculation, and dissemination of financial indices at scale. The company offers a wide range of robust financial indices encompassing equities, futures, options, and ESG (Environmental, Social, and Governance) factors. MerQube's platform is equipped with custom calculation services and provides historical performance data, catering to the needs of financial professionals. Their expertise includes various types of indices, from market-capitalization weighted to risk-premia, volatility, and thematic indices. Additionally, MerQube supports clients with research and development, index construction, new product launches, and compliance and governance, making it a key player in the passive indexing market.

Concentric AI, founded in 2018 and headquartered in San Jose, California, specializes in a Semantic Intelligence solution that addresses data risk challenges for enterprises. Its platform utilizes deep learning technology to analyze the content and context of sensitive documents stored both in the cloud and on-premises. By scanning various types of documents, including those containing personally identifiable information (PII), confidential data, and financial statements, the platform identifies potential risks and highlights critical concerns that require immediate attention. This approach allows organizations to discover, monitor, and protect their sensitive data without needing prior knowledge of high-value content or placing the burden on end-users, ultimately simplifying deployment and accelerating time to value.

MOSTLY AI develops a GPU-powered technology that simulates synthetic customer data at scale. It helps generate an unlimited number of realistic and representative synthetic customers, matching the patterns and behaviors of the actual customers at an unprecedented level, helping businesses to open up a whole range of opportunities for otherwise locked-up data, resulting in faster innovation, fewer risks, and lower costs.

Matillion Ltd. specializes in developing cloud data integration software solutions aimed at helping organizations optimize their data usage. The company offers a range of products, including Matillion ETL for Amazon Redshift and Snowflake, which facilitate the extraction, loading, and transformation of structured and semi-structured data in cloud environments. Additionally, Matillion Data Loader allows users to seamlessly integrate data from various sources into their cloud data warehouses. The Matillion Business Intelligence tool provides self-service reporting and analytics capabilities, while Matillion Exchange serves as a marketplace for users to share and download ETL jobs. Matillion's solutions cater to a diverse clientele, including Fortune 500 companies and mid-sized enterprises across the United Kingdom, the United States, and EMEA. Founded in 2010 and headquartered in Manchester, the company also has offices in New York, Denver, and Seattle.

Feedzai S.A. is a data science company based in Coimbra, Portugal, with an additional office in Hong Kong. Established in 2009, Feedzai specializes in providing business intelligence applications aimed at helping financial institutions, telecommunications, and utility sectors prevent, detect, and respond to fraud and financial crime. The company offers several key products, including FeedZai Pulse, which allows for real-time monitoring and analysis of vast data flows, and Data Science Studio, which enables users to create and manage predictive analytics models. Additionally, Feedzai Genome provides fraud investigators with tools to visualize and act upon financial crime patterns in real time. Feedzai's solutions are utilized by some of the world's largest banks and retailers, safeguarding trillions of dollars and enhancing customer experiences while addressing fraud prevention and anti-money laundering.

Rupert Inc. is a data operation platform founded in 2019 and headquartered in New York, New York. The company focuses on enhancing business analyst services by addressing inefficiencies in data processing. Its platform automates work processes, allowing users to streamline their tasks and access contextual data for informed decision-making. Rupert's no-code alert builder enables data teams of all sizes to create custom alerts without the need for engineering support, facilitating seamless integration with various data stacks. By simplifying the analytics process, Rupert aims to help organizations achieve meaningful insights and drive business outcomes more efficiently.

OilX Limited, founded in 2018 and headquartered in London, is a startup focused on providing advanced analytical solutions for the oil sector. The company specializes in delivering real-time insights into global oil supply and demand by integrating expertise in the oil industry with data science, satellite, and shipping data. OilX's platform offers digital oil analytics that empower traders and analysts to make informed, data-driven decisions. By utilizing artificial intelligence, OilX facilitates rapid access to fact-based intelligence, enhancing the decision-making process for its clients. The company has been conducting a beta test with 16 clients, demonstrating its commitment to refining its services in the competitive oil market.

Akoya, LLC, founded in 2018 and based in Boston, Massachusetts, has developed the Akoya Data Delivery Platform, which enables financial institutions to provide consumers with secure and transparent access to their financial data. The platform replaces traditional screen scraping methods with application programming interfaces (APIs), allowing individuals to share their financial information directly through their financial institution's online portal without the need to share login credentials. This approach enhances data security and privacy while simplifying the process for users to grant, modify, or revoke access to their data. Akoya also facilitates a single integration for financial institutions, fintechs, and data aggregators, streamlining multiple API connections and reducing the costs associated with managing third-party agreements. The platform prioritizes security, transparency, and scalability, operating on a passthrough model that does not store or hold any financial data or personal information. Akoya serves as an interoperable solution within the financial services industry, transforming how individuals share their data.

Reonomy leverages big data, partnerships, and machine learning to connect the fragmented world of commercial real estate. Reonomy products empower individuals, teams, and companies to unlock insights and discover new opportunities by providing unparalleled access to property intelligence.

Datameer, Inc. is a data analytics company based in San Francisco, California, specializing in applications designed for big data environments, particularly Hadoop. Founded in 2009, Datameer provides a range of products including data integration, analytics, and visualization tools that cater to industries such as financial services, healthcare, gaming, retail, telecommunications, and technology. Its platform allows data engineers and analysts to model and transform data directly within cloud data warehouses through simple SQL or no-code interfaces, facilitating complex analytical projects. Notable offerings include Datameer X for data preparation and exploration, Neebo for managing trusted information assets, and Smart Analytics for advanced analytical functions. The company's focus on accessibility enables collaboration between non-coders and technical users, streamlining the analytics process for large datasets.

Bloomberg Second Measure is a technology company that provides performance analytics services by analyzing billions of anonymized purchase transactions. The firm assists major brands and investment firms in addressing real-time inquiries related to company performance and consumer behavior. By leveraging this vast dataset, Bloomberg Second Measure enables businesses to identify rapidly growing companies, benchmark against competitors, and gain deeper insights into customer preferences. The company operates from its headquarters in the Bay Area and has an additional office in New York. It is supported by prominent investors, including Bessemer Venture Partners, Goldman Sachs, and Y Combinator.

Privitar Ltd. is an enterprise software company specializing in privacy-preserving data mining and sophisticated data anonymization. Founded in 2014 and headquartered in London, with additional offices in San Francisco, New York, and Paris, Privitar develops a suite of products designed to help organizations analyze sensitive data while maintaining privacy and compliance with regulations such as GDPR and HIPAA. Its offerings include Privitar Publisher, which supports auditing and user management; Privitar Lens, for creating privacy-preserving APIs; SecureLink, a data de-identification system; and the Privitar Data Privacy Platform, aimed at enhancing data utilization and safeguarding sensitive information. The company's solutions cater to various sectors, including finance, healthcare, telecommunications, and marketing, serving a diverse global client base across North America, Europe, and Asia.

Anaconda, Inc. is a developer of a Python-based data science platform that facilitates the adoption of open data science analytics for various industries. Established in 2011 and headquartered in Austin, Texas, the company offers key products such as Anaconda Distribution, which provides data science packages, and Anaconda Enterprise, an open data science platform designed for corporate and research institutions. With over 45 million users worldwide, including 90% of Fortune 500 companies, Anaconda is recognized for its extensive support of open-source Python packages essential for AI, data science, and machine learning. The company also offers training programs to help professionals transition into data science careers, along with services focused on technical computing challenges, data management, optimization, and visualization. Anaconda’s mission is to empower organizations to leverage open-source technologies for innovative solutions and competitive advantages.

Feedzai S.A. is a data science company based in Coimbra, Portugal, with an additional office in Hong Kong. Established in 2009, Feedzai specializes in providing business intelligence applications aimed at helping financial institutions, telecommunications, and utility sectors prevent, detect, and respond to fraud and financial crime. The company offers several key products, including FeedZai Pulse, which allows for real-time monitoring and analysis of vast data flows, and Data Science Studio, which enables users to create and manage predictive analytics models. Additionally, Feedzai Genome provides fraud investigators with tools to visualize and act upon financial crime patterns in real time. Feedzai's solutions are utilized by some of the world's largest banks and retailers, safeguarding trillions of dollars and enhancing customer experiences while addressing fraud prevention and anti-money laundering.

Pepperdata, Inc. is a software company based in Sunnyvale, California, specializing in big data performance optimization. Founded in 2012, it offers a comprehensive software solution designed to enhance the efficiency of existing clusters running multiple applications. The platform provides real-time tracking of CPU, memory, network, local disk, and HDFS usage across users, jobs, tasks, and processes. This capability enables organizations to maximize resource utilization and run more jobs on their current infrastructure. Additionally, Pepperdata features Query Spotlight, a big data analytics performance suite that allows clients to analyze cluster resource usage and identify limitations. The company's technology is particularly effective for Internet and software-as-a-service companies managing large-scale Hadoop clusters and is recognized for its dynamic cost optimization capabilities on cloud services like Amazon EMR and EKS. Pepperdata's solutions are utilized by top enterprises, including Citibank and T-Mobile, to enhance data management and operational efficiency in complex environments.

DB CyberTech specializes in developing predictive data loss prevention technologies that safeguard business data through advanced security measures. The company employs deep protocol extraction, machine learning, and behavioral analysis to non-intrusively assess database infrastructures, allowing for the identification of insider threats and potential database attacks. Its solutions provide clients with comprehensive insights into database activities and application interactions, enhancing situational awareness and security posture. DB CyberTech serves a diverse clientele, including financial institutions, healthcare providers, manufacturers, and government entities. Founded in 2009 and headquartered in San Diego, California, the company was previously known as DB Networks before rebranding in May 2018.

Datameer, Inc. is a data analytics company based in San Francisco, California, specializing in applications designed for big data environments, particularly Hadoop. Founded in 2009, Datameer provides a range of products including data integration, analytics, and visualization tools that cater to industries such as financial services, healthcare, gaming, retail, telecommunications, and technology. Its platform allows data engineers and analysts to model and transform data directly within cloud data warehouses through simple SQL or no-code interfaces, facilitating complex analytical projects. Notable offerings include Datameer X for data preparation and exploration, Neebo for managing trusted information assets, and Smart Analytics for advanced analytical functions. The company's focus on accessibility enables collaboration between non-coders and technical users, streamlining the analytics process for large datasets.

Bundle rates merchants based on actual credit card spending by millions of people at that location. Bundle has built a data and analytical solution that structures and sorts through billions of spending transactions in order to rate the merchants.

Siros Technologies is a developer of ultra-density, three-dimensional digital data storage systems for the information technology.

Internet Financial Network develops personalized information products and tools for Internet users and creates.

Digital Archaeology is focused on the development of analytical applications for e-businesses. Digital Archaeology offers X-Set, a software architecture that focuses on the process of transforming data into knowledge. Digital Archaeology was acquired by Delano Technology Corp. in October 2000. Digital Archaeology was founded in 1994 and is based in Lenexa, Kansas.