Citi Ventures

Endor Labs specializes in enhancing application security with a focus on managing open-source software dependencies. The company aids developers in integrating safe Open Source Software (OSS) to expedite development processes while minimizing time spent on security issues. Its Dependency Lifecycle Management Platform targets the vulnerabilities in software supply chain security caused by ungoverned use of open-source software within enterprises.

Databricks offers a unified data analytics platform that simplifies data integration, enables real-time experimentation, and facilitates robust deployment of production applications for developers and data scientists. Serving diverse industries worldwide, Databricks' platform supports collaborative data science, machine learning workflows, and integrates with various cloud services.

Writer is a full-stack generative AI platform that enables organizations to build, deploy, and manage AI-powered writing and content across departments such as operations, products, sales, human resources, and marketing. The platform combines an integrated suite of large language models, graph-based retrieval-augmented generation, AI guardrails, and development tools to create customizable applications for content generation, digital assistants, and data analysis, while ensuring secure and compliant operations and rapid deployment to improve productivity and drive innovation and return on investment.

Concentric AI provides a data sensitivity and risk discovery platform that analyzes an organization’s documents in cloud and on premises to identify sensitive or business-critical information, assess the risk each item poses, and highlight urgent security concerns. Using deep learning, the system examines document content and context to enable discovery, monitoring, and protection of unstructured data such as confidential files and financial statements. The platform aims to help enterprises secure valuable information, simplify deployment, and reduce time to value by delivering clear, actionable insights across the full inventory of documents. The company was founded in 2018 and is headquartered in San Jose, California.

Galileo.ai is a technology company specializing in AI application management. It offers a suite of services including development, testing, monitoring, and security for AI applications. The core product is an AI platform designed to enhance machine learning processes by automatically identifying errors and data gaps, thereby improving efficiencies, reducing costs, and mitigating biases across various industries such as healthcare, finance, and insurance.

CoreWeave develops a cloud infrastructure platform specializing in GPU-powered computing for blockchain initiatives. Its platform offers efficient scaling, tailored compute resources, and automated management tools to support advanced AI infrastructure.

OpenAI is an AI research and deployment company that develops general-purpose artificial intelligence technologies and applies them to real-world problems. It conducts machine learning research and builds systems such as large-scale language models, multimodal input handling, and code generation to support automation, data analysis, content generation, and interactive problem solving across industries including technology, healthcare, and education. The organization offers platforms and APIs that enable enterprises, developers, and researchers to build, test, and deploy intelligent systems, with plug-in extensibility and ongoing model updates to improve performance and safety.

Zeta Global Holdings is a data and analytics company that offers a comprehensive cloud-based marketing platform designed to help brands acquire, grow, and retain customers. Established in 2007 by David A. Steinberg and John Sculley, Zeta employs advanced analytics, machine learning, and extensive consumer intelligence to support enterprises across various industries, including financial services, telecommunications, and retail. Its flagship product, the Zeta Marketing Platform (ZMP), leverages identity data to analyze vast amounts of structured and unstructured data, enabling businesses to predict consumer intent and optimize marketing efforts. Headquartered in New York City, Zeta has over 1,000 employees and maintains Centers of Excellence in key locations such as Silicon Valley, Boston, London, and Hyderabad, alongside numerous other global offices. The company competes with major players in the marketing technology space, including Oracle, IBM, Salesforce, and Adobe.

Lakera is a real-time GenAI security company focused on the safe and responsible development of artificial intelligence technologies. It provides mission-critical software that emphasizes safety and compliance in AI application development. The company's machine learning development kit allows organizations to create Generative AI applications while minimizing security and safety risks. Lakera's solutions empower development teams to identify flaws in computer vision systems, thereby preventing critical failures during operation and enhancing trust in AI products. Additionally, Lakera has developed Gandalf, an educational tool that has informed over one million users about AI security, reflecting its commitment to facilitating the secure adoption of AI technologies and staying ahead of emerging threats.

Endor Labs specializes in enhancing application security with a focus on managing open-source software dependencies. The company aids developers in integrating safe Open Source Software (OSS) to expedite development processes while minimizing time spent on security issues. Its Dependency Lifecycle Management Platform targets the vulnerabilities in software supply chain security caused by ungoverned use of open-source software within enterprises.

Traceable Inc. is a security solutions provider focused on protecting cloud-native applications, particularly through comprehensive API security. Founded in 2018 and based in San Francisco, the company offers an end-to-end application security monitoring platform that safeguards application activity from users to APIs and code. Its innovative approach includes an API Data Lake at the core of its platform, enabling intelligent and context-aware security management. Traceable’s solutions encompass threat protection, security posture management, and insights for forensic analysis, all designed to minimize risks and enhance the value of APIs within organizations' software development lifecycles. By leveraging machine learning technology, Traceable analyzes user interactions and application behavior to detect anomalies and assess attack attempts, thereby enabling businesses to strengthen their security operations effectively.

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.

Founded in 2015, Virtualitics specializes in advanced data analytics and artificial intelligence. It offers the Virtualitics Immersive Platform, a collaborative virtual environment for enterprise customers to uncover insights through machine learning and 3D visualization. The company also provides expert advisory services in machine learning.

Unlimited specializes in democratizing alternatives through return replication technology. It employs machine learning to create solutions that mimic alternative investment index returns.

Founded in 2015, Virtualitics specializes in advanced data analytics and artificial intelligence. It offers the Virtualitics Immersive Platform, a collaborative virtual environment for enterprise customers to uncover insights through machine learning and 3D visualization. The company also provides expert advisory services in machine learning.

Clerkie is an AI-driven financial planning platform that provides financial knowledge, personalized answers, and actionable plans to help users manage their finances. It also automates loan servicing and supports credit score building through debt management, using conversational AI to build comprehensive financial knowledge graphs that enable the management of loan losses and integrate financial advice with one-click automation. These capabilities serve lenders, businesses, and individuals by helping optimize loan portfolios, improve repayment performance, and promote financial wellness.

Deepgram designs and develops artificial intelligence-based automatic speech recognition solutions. Its platform enables enterprises to label, train, and deploy speech recognition models for converting audio data into insights and automating actions. Deepgram serves individual developers and Fortune 500 companies.

TRM Labs Inc. is a blockchain intelligence company that provides a platform focused on token relationship management, utilizing machine learning to assist clients in managing customer relationships and detecting suspicious activities. The platform offers solutions for on-chain anti-money laundering (AML) compliance, including customer due diligence, transaction monitoring, and relationship management specifically tailored for digital asset firms. Additionally, TRM Labs develops enterprise applications and tools that enable organizations to launch blockchain-based products aimed at identifying fraudulent activities such as money laundering and market manipulation. Founded in 2017 and headquartered in San Francisco, California, the company serves a diverse clientele, including financial institutions, cryptocurrency businesses, and government agencies, and has established partnerships with notable organizations such as PayPal, Visa, and federal agencies. TRM Labs is committed to enhancing the safety of the financial ecosystem through advanced data engineering and threat intelligence, backed by a team of experts with extensive experience in law enforcement and technology.

Claira’s deal intelligence platform for finance automates your deal pipeline, deal origination and deal management while streamlining business processes, enabling deep business insights, & empowering business leaders to make more informed decisions. Whether you're working on behalf of your firm or providing advisory, consulting or legal services across multiple firms, Claira will assist you in achieving efficiency, control, compliance and risk management across a variety of finance & insurance business areas: * Private Credit Analysis; * Investment Management; * Commercial Real Estate; * Asset Management; * Capital Markets; * Commercial Real Estate; * Corporate Banking; * Credit and Lending; * Digital Assets; * Fund Administration; * Hedge Funds; * Insurance; * Investment Banking, M&A; * Investment Management; * Legal, Reg, & Compliance; * Prime Brokerage; * Private Equity, Private Placement, VC; * Real Estate; * Retail Banking; * Wealth Management; etc. Claira is pre-trained and pre-configured with insight modules that don't require your time and effort to train our models on your documents. Claira's unique approach using computational linguistics and sentence-level, deep-semantic parsing provides greater understanding and higher accuracy. Claira's answers are fully traceable and transparent because Claira understands language, just like you. For each document, Claira shows you how we concluded for you to understand and be fully confident in your actions. Claira was created by top data scientists and engineers experienced in solving complex non-finance problems alongside financial service experts on a mission to digitize traditional finance. Claira launched in 2024 and is based in New York, USA.

Concentric AI provides a data sensitivity and risk discovery platform that analyzes an organization’s documents in cloud and on premises to identify sensitive or business-critical information, assess the risk each item poses, and highlight urgent security concerns. Using deep learning, the system examines document content and context to enable discovery, monitoring, and protection of unstructured data such as confidential files and financial statements. The platform aims to help enterprises secure valuable information, simplify deployment, and reduce time to value by delivering clear, actionable insights across the full inventory of documents. The company was founded in 2018 and is headquartered in San Jose, California.

MQube is a technology-driven company focused on transforming the UK mortgage market by addressing the challenges faced by lenders, brokers, landlords, and home buyers. Established with a commitment to enhancing user experience, MQube launched its MPowered Mortgages and MPowered platform in 2021. The company utilizes artificial intelligence, unique document extraction technology, and smart data management to automate lending decisions, thereby providing borrowers with greater certainty and control over the mortgage process. Its platform ensures the accuracy of customer data and facilitates the retrieval of relevant data points from documents supplied by mortgage brokers. This innovation enables customers to secure mortgages more easily while allowing lenders to make quicker lending decisions and improve overall customer outcomes.

Founded in 2019, Lev specializes in digitizing commercial real estate transactions via its technology platform. It offers financial services, including lending solutions and capital management.

Skan.ai uses cognitive technologies to map, model, and manage business processes by creating digital twins of human/digital interactions. Skan.ai replaces human interviews and observation, which are not accurate, by cognitive tooling that learns based on observation of human/digital work. Skan does this at scale and learns / reconstructs business processes grounds up. This approach is significantly faster, more accurate, and has much greater depth and coverage.

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.

Tessian Limited is a company that specializes in email security software designed to mitigate risks associated with human error and data loss. Founded in 2013 and headquartered in London, the company offers advanced solutions that leverage machine learning and artificial intelligence. Key products include CheckRecipient Guardian, which alerts users in real-time if emails are being sent to unintended recipients, and CheckRecipient RuleBuilder, which allows organizations to easily create and enforce email communication policies. The platform analyzes email networks to prevent sensitive information from being misdirected, thereby protecting clients in various sectors, including legal services, healthcare, investment banking, and technology. Tessian aims to enhance security while ensuring minimal disruption to employees' workflows, empowering them to work efficiently without compromising data integrity.

Frictionless supply machine management. Powered by blockchain and deep learning

Socure develops digital identity verification solutions using artificial intelligence and machine learning. Its platform authenticates identities in real-time from various online/offline sources, automating customer identification program (CIP), know your customer (KYC), and anti-money laundering (AML) compliance initiatives.

Deepgram designs and develops artificial intelligence-based automatic speech recognition solutions. Its platform enables enterprises to label, train, and deploy speech recognition models for converting audio data into insights and automating actions. Deepgram serves individual developers and Fortune 500 companies.

Skan.ai uses cognitive technologies to map, model, and manage business processes by creating digital twins of human/digital interactions. Skan.ai replaces human interviews and observation, which are not accurate, by cognitive tooling that learns based on observation of human/digital work. Skan does this at scale and learns / reconstructs business processes grounds up. This approach is significantly faster, more accurate, and has much greater depth and coverage.

BioCatch is a pioneering company specializing in behavioral biometrics, which focuses on analyzing the digital behavior of online users to enhance fraud detection and prevention. By leveraging advanced cognitive science and machine learning, BioCatch provides insights that help financial institutions identify potential risks associated with user interactions while maintaining privacy. The company's technology is designed to combat increasingly sophisticated fraud tactics, including social engineering scams, and to streamline the digital banking experience from account creation to login and beyond. With over a decade of experience and a robust portfolio of patents, BioCatch is committed to driving innovation in the field of digital security, enabling clients to effectively combat fraud while fostering a trusted online environment.

Socure develops digital identity verification solutions using artificial intelligence and machine learning. Its platform authenticates identities in real-time from various online/offline sources, automating customer identification program (CIP), know your customer (KYC), and anti-money laundering (AML) compliance initiatives.

Digit, Inc. is a financial technology company based in San Francisco, California, that specializes in a mobile application designed to help users manage their finances effectively. Founded in 2012, the app analyzes users' spending habits and automatically saves a tailored amount of money each day, based on their income and expenditure patterns. By utilizing machine learning and insights from behavioral psychology, Digit aims to reduce the stress associated with financial management and assists users in building a secure financial future. The platform keeps savings in a separate account and adjusts the savings amount daily, helping users achieve their financial goals without requiring constant attention.

ScaleFactor provides automated accounting and finance software, offering features such as bookkeeping automation, proactive alerts, and business insights translation. It formerly offered additional services like IT integration, HR/payroll, compliance, and CFO advisory. ScaleFactor served various industries including professional services, restaurants, retail, technology, and wellness. The company was founded in 2014 and had offices across North America before ceasing operations.

Anaconda is a company that develops a Python data science platform to help organizations adopt open data science analytics. It offers Anaconda Distribution for packaging Python data science libraries and Anaconda Enterprise as an enterprise-grade platform, complemented by training and professional development programs to grow data science skills. The company provides services focused on data management, optimization, data science, and visualization and serves clients across industries including energy, finance, defense, biology, and medicine. Founded in 2011 and based in Austin, Texas, Anaconda has supported open-source Python adoption and enterprise deployments worldwide.

Pagaya is a fintech company leveraging machine learning and big data analytics to manage institutional funds, primarily focusing on fixed income and alternative credit markets.

Behavox provides a unified enterprise platform that combines various data types into a single data lake. This enables real-time querying of data and application of machine learning to identify misconduct, insider threats, and other risks in capital markets. The company's software is designed for large-scale deployment at major financial institutions, offering sophisticated engineering solutions based on cutting-edge academic research.

Kensho Technologies, Inc. is a provider of advanced analytics, artificial intelligence, machine learning, and data visualization systems tailored for global banks and investment institutions. The company develops Kensho Financial Analytics Software, which delivers scalable analytical solutions to enhance decision-making within commercial entities. Kensho's offerings also include the Kensho Applied Mind, a sophisticated AI software that enables natural language processing to address complex financial inquiries in plain English. Additionally, Kensho operates a national security division known as Koto. Founded in 2012 and headquartered in Cambridge, Massachusetts, Kensho has expanded its presence with offices in New York, McLean, and Pacific Palisades. As of April 2018, Kensho Technologies operates as a subsidiary of S&P Global Inc.

Cylance is a cybersecurity company that develops artificial intelligence-based prevention-first security solutions designed to predict and prevent malware and other threats. Its platform uses AI and machine learning to distinguish safe from unsafe code, providing proactive protection across endpoints and networks, including antivirus-like functions, memory protection, and device policy enforcement, as well as threat hunting and automated detection and response. The company offers services such as incident response, containment, consulting, and education for industries including critical infrastructure, energy, finance, government, healthcare, and education. Founded in 2012 and based in Irvine, California, Cylance was acquired by BlackBerry and operates as a subsidiary, continuing to focus on predictive and preventive cybersecurity solutions.

SymphonyAI Sensa specializes in advanced crime detection services tailored for financial institutions globally. Utilizing a unique blend of artificial intelligence and machine learning, Sensa identifies criminal activities that often go undetected by conventional systems. The company's technology has demonstrated significant results, including up to an 81-fold improvement in risk-to-alert ratios, a 263% increase in suspicious activity reports, and a reduction of false positives by as much as 77%. Sensa also provides predictive insights that enhance operational efficiencies by pinpointing genuine anomalies in existing data. Its user-friendly interface ensures that results are fully explainable, meeting regulatory requirements while enabling data analysts to uncover patterns through innovative topological data analysis techniques.

DB CyberTech is a cybersecurity company specializing in predictive data loss prevention technologies designed to safeguard business data. Founded in 2009 and headquartered in San Diego, California, the company leverages advanced techniques such as deep protocol extraction, machine learning, and behavioral analysis to assess database infrastructures. Its innovative products enable non-intrusive monitoring and analysis of database activity, allowing organizations to accurately identify insider threats and database attacks. DB CyberTech serves a diverse clientele, including major financial institutions, healthcare providers, manufacturers, and government entities. The company's solutions provide detailed insights into application and database interactions, enhancing situational awareness and helping clients protect sensitive information from potential breaches.

SymphonyAI Sensa specializes in advanced crime detection services tailored for financial institutions globally. Utilizing a unique blend of artificial intelligence and machine learning, Sensa identifies criminal activities that often go undetected by conventional systems. The company's technology has demonstrated significant results, including up to an 81-fold improvement in risk-to-alert ratios, a 263% increase in suspicious activity reports, and a reduction of false positives by as much as 77%. Sensa also provides predictive insights that enhance operational efficiencies by pinpointing genuine anomalies in existing data. Its user-friendly interface ensures that results are fully explainable, meeting regulatory requirements while enabling data analysts to uncover patterns through innovative topological data analysis techniques.

Jumio is a technology company based in Palo Alto, California, founded by Daniel Mattes and Robert Prigge in 2016. It specializes in remote identity verification using advanced AI, biometrics, machine learning, and automation to combat fraud and financial crime. The Jumio KYX Platform offers services for establishing, maintaining, and reasserting trust throughout the customer lifecycle, from onboarding to transaction monitoring. It has verified over 300 million identities from around the world in real-time web and mobile transactions, serving various sectors such as financial services, digital currency, retail, travel, and online gaming. Jumio's solutions help businesses fight fraud, onboard good customers faster, and meet regulatory compliance requirements including KYC, AML, and GDPR.

CrediLinq.Ai is a technology infrastructure company that enables B2B platforms to offer embedded finance solutions to their customers. It facilitates 'PayLater' for buyers and 'PayNow' for sellers, aiming to enhance conversion rates, increase average order volumes, and reduce operational burdens.