Citi

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.

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.

Validis is a cloud-based FinTech company with a unique software that increases a lender’s access to their client’s financial data. Validis technology enables high-speed transmission of financial data via the web, allowing lenders to receive and review client data securely and efficiently. The software retrieves data directly from an SME’s accounting software package and generates extensive analytics and standardized “audit-in-a-box” reports that lenders can access via Validis’ pluggable feed or online portal. Validis enables lenders to respond swiftly to initial funding applications, reducing the time it takes to onboard clients and subsequently increasing lending rates. Once clients are onboard, Validis provides lenders with performance monitoring and covenant breakdown notifications so they can continue to lend with confidence.

Databricks Inc. is a technology company that provides a unified data analytics cloud platform designed to facilitate data engineering and collaborative data science. The company offers a comprehensive suite of tools, including a just-in-time data platform that simplifies data integration, real-time experimentation, and deployment of production applications for developers and data scientists. Key products include Databricks Delta, which combines the capabilities of data warehouses with low-latency streaming, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, manufacturing, and telecommunications, and has established strategic partnerships with various organizations to enhance its offerings. Founded in 2013, Databricks is headquartered in San Francisco, California, with additional offices in London, Amsterdam, and Bengaluru.

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 Software as a Service (SaaS) company that empowers organizations to leverage their unstructured data effectively. Its core product is a dataflow infrastructure platform, which enables access to all types of data, including unstructured files. This platform captures unstructured data, replaces single-use, point-to-point code with flexible, reusable pipelines, allowing clients to focus on generative AI tasks.

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 fintech company dedicated to enhancing safety in the banking sector by transforming how the financial industry addresses non-financial risk. It has developed a data intelligence network that connects firms and facilitates the digitization of non-financial risk management. By emphasizing data standardization and technology, Acin enables businesses to measure, manage, and mitigate non-financial risks consistently. This industry-wide network allows users to collaborate across organizations, fostering a more secure and efficient approach to risk management in the financial sector.

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.

MQube is a digital financial software developer focused on transforming the UK mortgage market. By leveraging innovative technology and data science, the company aims to address the challenges faced by mortgage lenders, brokers, landlords, and home buyers. In 2021, MQube launched MPowered Mortgages and the MPowered platform, which utilize artificial intelligence and advanced document extraction technology to automate lending decisions. This process enhances accuracy in customer data verification and enables efficient retrieval of relevant data points, facilitating quicker lending decisions for providers and improved experiences for borrowers. With strong backing from prominent European venture funds, MQube is dedicated to innovation and effective problem-solving in the mortgage sector.

Mostly AI Solutions MP GmbH, founded in 2017 and based in Vienna, Austria, specializes in privacy-preserving generative AI solutions tailored for big data applications. The company develops advanced GPU-powered technology that simulates highly realistic and completely anonymous synthetic customer data, allowing organizations to explore, experiment, and innovate without compromising individual privacy. By generating synthetic populations that retain valuable information from actual data while preventing re-identification, Mostly AI enables businesses to unlock new opportunities for data-driven products and services. This innovative approach not only facilitates faster innovation and reduces risks but also lowers costs associated with data management. In addition to its technological offerings, Mostly AI provides machine learning training courses and programs to further enhance data literacy and capabilities within organizations.

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 is a global technology company specializing in AI-driven fraud prevention and financial crime management. Established in 2008, the company offers an end-to-end platform that ingests and analyzes diverse data streams, creating hypergranular risk profiles to detect and prevent fraud in real-time. Feedzai serves a wide range of clients, including banks, payment providers, merchants, and retailers, across multiple continents. Its solutions are designed to enhance customer experience while safeguarding trillions of dollars in transactions. The company is headquartered in San Mateo, California, with additional offices worldwide.

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 is a commercial real estate data and analytics platform that integrates extensive property information to assist professionals in sourcing deals and making informed decisions. By utilizing big data, partnerships, and machine learning, Reonomy connects various fragmented aspects of the commercial real estate market, offering users access to comprehensive property intelligence. The platform provides valuable insights by combining data on properties, companies, and individuals, enabling lenders, brokers, and investors to identify opportunities and engage with real estate owners effectively. Through its innovative approach, Reonomy empowers users to navigate the complexities of the real estate landscape with greater clarity and confidence.

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 advanced data anonymization solutions. Founded in 2014 and headquartered in London, the company serves a diverse global client base across North America, Europe, and Asia. Privitar's product suite includes Privitar Publisher, which allows organizations to securely manage and audit data access, and Privitar Lens, which facilitates the creation of privacy-preserving APIs for reporting and analytics. Additionally, its SecureLink system focuses on data de-identification, while the Privitar Data Privacy Platform enhances data utilization while safeguarding sensitive information. The company's technologies enable clients to analyze potentially sensitive data in compliance with regulations such as GDPR, CPRA, and HIPAA, thereby fostering data-driven innovation and maintaining customer privacy across various sectors, including finance, healthcare, telecommunications, and marketing.

Crux Informatics Inc., founded in 2017 and headquartered in San Francisco, California, specializes in data processing and management services through its external data automation platform. This platform facilitates the integration, transformation, and observability of third-party data, effectively bridging the gap between data suppliers and consumers. Crux automates the development of data pipelines, ensures ongoing validation of data quality, and manages operations on a large scale across various cloud platforms. By leveraging advanced technology and a team of experienced data engineers, Crux enhances the efficiency of external data integration workflows, catering to the needs of companies seeking to optimize their data operations. The company has garnered support from prominent financial institutions, indicating its strong presence in the industry.

Anaconda, Inc. is a leading provider of a Python data science platform designed to facilitate the adoption of open data science practices across various industries, including energy, finance, defense, biology, and medicine. Founded in 2011 and headquartered in Austin, Texas, the company offers the Anaconda Distribution, which provides access to essential data science packages, and Anaconda Enterprise, an open data science platform tailored for corporate and academic environments. In addition to its software solutions, Anaconda provides training programs in Python to support individuals transitioning into data science careers, as well as services focused on addressing technical computing challenges related to data management, optimization, and visualization. With a user base exceeding 45 million across 250 countries, Anaconda is recognized as a key player in the data science and AI sectors, serving a significant portion of Fortune 500 companies and fostering a vibrant community around open-source innovation.

Crux Informatics Inc., founded in 2017 and headquartered in San Francisco, California, specializes in data processing and management services through its external data automation platform. This platform facilitates the integration, transformation, and observability of third-party data, effectively bridging the gap between data suppliers and consumers. Crux automates the development of data pipelines, ensures ongoing validation of data quality, and manages operations on a large scale across various cloud platforms. By leveraging advanced technology and a team of experienced data engineers, Crux enhances the efficiency of external data integration workflows, catering to the needs of companies seeking to optimize their data operations. The company has garnered support from prominent financial institutions, indicating its strong presence in the industry.

Crux Informatics Inc., founded in 2017 and headquartered in San Francisco, California, specializes in data processing and management services through its external data automation platform. This platform facilitates the integration, transformation, and observability of third-party data, effectively bridging the gap between data suppliers and consumers. Crux automates the development of data pipelines, ensures ongoing validation of data quality, and manages operations on a large scale across various cloud platforms. By leveraging advanced technology and a team of experienced data engineers, Crux enhances the efficiency of external data integration workflows, catering to the needs of companies seeking to optimize their data operations. The company has garnered support from prominent financial institutions, indicating its strong presence in the industry.

Feedzai is a global technology company specializing in AI-driven fraud prevention and financial crime management. Established in 2008, the company offers an end-to-end platform that ingests and analyzes diverse data streams, creating hypergranular risk profiles to detect and prevent fraud in real-time. Feedzai serves a wide range of clients, including banks, payment providers, merchants, and retailers, across multiple continents. Its solutions are designed to enhance customer experience while safeguarding trillions of dollars in transactions. The company is headquartered in San Mateo, California, with additional offices worldwide.

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.

Silver Tail Systems specializes in predictive analytics designed to detect and prevent fraud and abuse on websites. As business logic abuse becomes increasingly prevalent and difficult to identify, companies face significant financial losses due to various online threats, including hijack attacks and gaming schemes. Silver Tail Systems offers advanced Forensics and Mitigation products that leverage web session intelligence and real-time behavioral analytics to identify suspicious activities. Their innovative approach enables efficient investigation and immediate response to fraudulent events, ensuring that legitimate users remain unaffected while effectively diverting malicious actors.

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.

CrediLinq.Ai is a technology infrastructure company focused on providing embedded finance solutions for B2B platforms and marketplaces. By offering white-labeled services such as B2B PayLater for buyers and B2B PayNow for sellers, CrediLinq.Ai aims to enhance conversion rates, increase average order volumes, and reduce operational burdens for its clients. The company's platform integrates data digitally into clients' applications, enabling them to better understand their customers' businesses and create unique credit scores for borrowers. This approach facilitates hassle-free and equitable access to capital for small and medium enterprises, supporting their growth and financial needs.

Starburst is an analytics platform that facilitates seamless access to data across various databases, allowing organizations to unlock the full value of their data. By providing a solution that enables instant actionability, Starburst helps data-driven entities reduce the total cost of their infrastructure and analytics investments. The platform also addresses challenges related to data movement and duplication, thereby preventing vendor lock-in and simplifying the complexities associated with managing data. Through its innovative approach, Starburst aims to empower businesses to effectively leverage their data assets for informed decision-making.