Dell

LayerX is a developer of a user-first browser security platform that focuses on protecting both managed and unmanaged devices from web-based threats. The platform employs AI technology to deliver real-time anti-phishing measures and SaaS security monitoring. It is designed to prevent various online risks, including data breaches, phishing attacks, malware, and credential theft. Additionally, LayerX provides real-time threat intelligence and safeguards against malicious content and rogue browser extensions. By enhancing security for web applications and SaaS, LayerX enables businesses to better protect their applications, data, and devices from the increasing risks associated with online browsing.

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.

Auditoria.AI, Inc., founded in 2019 and based in Santa Clara, California, specializes in providing technology-driven financial solutions for enterprise accounting and auditing. The company leverages advanced artificial intelligence and machine learning to enhance compliance and streamline finance operations. Its flagship product utilizes natural language processing and predictive analytics to automate back-office processes, minimizing friction and repetition for finance teams. By focusing on automation, Auditoria.AI aims to deliver real-time insights that empower organizations to improve efficiency and decision-making in their financial operations.

Singulr AI specializes in enterprise AI governance and security. Its platform automates security and risk management, offering continuous AI discovery and granular governance policies. This enables businesses to accelerate AI innovation while minimizing costs and risks, including data leaks, unsafe usage, and shadow AI. The platform provides comprehensive visibility into AI systems and user activity, streamlining the onboarding of approved AI services and facilitating efficient, secure AI operationalization.

Savant Labs specializes in an analytics automation platform tailored for analysts and operations teams. This platform provides a low-code, no-code solution that facilitates data access, preparation, blending, and analysis, along with the automated delivery of insights to various applications and dashboards. By streamlining the collection and exploration of data, as well as enabling transformation and analysis, Savant Labs empowers analysts to independently leverage data assets and automate repetitive tasks. The platform also incorporates features for collaboration tracking and governance, thus supporting businesses in integrating analytics and automation to enhance their overall operations.

Distyl AI specializes in helping organizations enhance their readiness for artificial intelligence by developing customized AI solutions that align with their specific data, workflows, and workforce needs. The company offers a generative AI solutions platform that supports major institutions in adopting foundational models and preparing for AI integration. By collaborating with leading organizations globally, Distyl AI aims to create reliable and seamlessly integrated AI-driven services, enabling enterprises to thrive in an increasingly AI-assisted economy.

LayerX is a developer of a user-first browser security platform that focuses on protecting both managed and unmanaged devices from web-based threats. The platform employs AI technology to deliver real-time anti-phishing measures and SaaS security monitoring. It is designed to prevent various online risks, including data breaches, phishing attacks, malware, and credential theft. Additionally, LayerX provides real-time threat intelligence and safeguards against malicious content and rogue browser extensions. By enhancing security for web applications and SaaS, LayerX enables businesses to better protect their applications, data, and devices from the increasing risks associated with online browsing.

SiMa.ai is a company based in San Jose, California, focused on designing and developing a machine learning platform that provides a single-chip solution for embedded systems. The company specializes in machine learning system-on-chip (MLSoC) technology, which allows for high-performance machine learning inference at low power in edge applications. SiMa.ai's platform enables seamless deployment and scaling of machine learning solutions, addressing various computer vision challenges with significantly improved performance and energy efficiency. The hardware-to-software stack of SiMa.ai is adaptable to multiple frameworks and models, enhancing the capabilities of applications in areas such as computer vision and generative AI. Founded in 2018, SiMa.ai aims to facilitate the integration of advanced machine learning technology into embedded systems while ensuring safe and secure operations.

Ibex Medical Analytics Ltd, based in Tel Aviv, Israel, specializes in developing AI-based diagnostic systems for cancer pathology. The company's flagship product, the Ibex Second Read system, works alongside human pathologists to analyze cases, identifying discrepancies in diagnoses. This innovative technology harnesses artificial intelligence, data science, and machine learning to analyze digitized glass slides and electronic medical records, revealing critical patterns that enhance clinical decision-making. By streamlining pathology workflows, Ibex aims to provide rapid, objective, and accurate diagnoses, ultimately improving patient outcomes and quality of life. The company comprises a multidisciplinary team of entrepreneurs, data scientists, software engineers, and medical experts dedicated to advancing cancer care through AI applications in diagnostics.

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.

Distyl AI specializes in helping organizations enhance their readiness for artificial intelligence by developing customized AI solutions that align with their specific data, workflows, and workforce needs. The company offers a generative AI solutions platform that supports major institutions in adopting foundational models and preparing for AI integration. By collaborating with leading organizations globally, Distyl AI aims to create reliable and seamlessly integrated AI-driven services, enabling enterprises to thrive in an increasingly AI-assisted economy.

Ibex Medical Analytics Ltd, based in Tel Aviv, Israel, specializes in developing AI-based diagnostic systems for cancer pathology. The company's flagship product, the Ibex Second Read system, works alongside human pathologists to analyze cases, identifying discrepancies in diagnoses. This innovative technology harnesses artificial intelligence, data science, and machine learning to analyze digitized glass slides and electronic medical records, revealing critical patterns that enhance clinical decision-making. By streamlining pathology workflows, Ibex aims to provide rapid, objective, and accurate diagnoses, ultimately improving patient outcomes and quality of life. The company comprises a multidisciplinary team of entrepreneurs, data scientists, software engineers, and medical experts dedicated to advancing cancer care through AI applications in diagnostics.

Alation, Inc. is a provider of enterprise data intelligence solutions based in Redwood City, California. Founded in 2012, the company specializes in a platform that facilitates data search and discovery, data governance, data stewardship, and analytics, aiming to support organizations in their digital transformation efforts. Alation's platform is distinguished by its Behavioral Analysis Engine, which integrates machine learning with human insights, enabling effective metadata management and collaboration. This approach empowers users to easily find and understand the data they require, while also ensuring proper governance and compliance. Alation has established itself as a leader in the data catalog market, delivering tools that help analysts make informed decisions by providing a comprehensive view of data usage and provenance.

SiMa.ai is a company based in San Jose, California, focused on designing and developing a machine learning platform that provides a single-chip solution for embedded systems. The company specializes in machine learning system-on-chip (MLSoC) technology, which allows for high-performance machine learning inference at low power in edge applications. SiMa.ai's platform enables seamless deployment and scaling of machine learning solutions, addressing various computer vision challenges with significantly improved performance and energy efficiency. The hardware-to-software stack of SiMa.ai is adaptable to multiple frameworks and models, enhancing the capabilities of applications in areas such as computer vision and generative AI. Founded in 2018, SiMa.ai aims to facilitate the integration of advanced machine learning technology into embedded systems while ensuring safe and secure operations.

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.

Aidaptive is a company that specializes in predictive personalization through its advanced machine learning platform, catering to eCommerce and hospitality brands of all sizes. Founded in 2021 by Rakesh Yadav, who has extensive experience in machine learning from his time at Google, Aidaptive empowers online businesses by predicting customer affinity and intent, allowing for the delivery of personalized content in real time. The platform is designed to enhance sales through features such as dynamic pricing and tailored experiences, leveraging data to address various business challenges. With a team that collectively possesses over 50 years of machine learning expertise, Aidaptive is supported by significant investments from Dell Technologies Capital and other seasoned professionals from Silicon Valley.

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.

Pecan operates a predictive analytics platform that empowers businesses to forecast critical outcomes effectively. It utilizes a low-code interface that simplifies the predictive modeling process, allowing companies to generate accurate predictions without needing in-house data scientists or engineers. Pecan automates data preparation and feature engineering, enabling users, particularly SQL-trained business intelligence analysts, to create tailored predictive models quickly. The platform supports various industries, including fintech, insurance, retail, and consumer services, by providing pre-built models and templates that align with specific business objectives. This capability allows organizations to enhance customer lifetime value, retention, conversion rates, and demand forecasting. Pecan's solutions have a significant financial impact, influencing billions of dollars in revenue across various sectors.

MinIO, Inc. is a developer of a high-performance, open-source object storage server that is compatible with Amazon S3 APIs. Founded in 2014 and based in Palo Alto, California, the company specializes in providing a Kubernetes-native object store optimized for cloud-native workloads. MinIO's platform is designed to support the growing demands of unstructured data, allowing enterprises to manage various workloads such as machine learning, analytics, and data backup from a single solution. It enables application developers to create their own cloud storage systems for diverse data types, including images, videos, and log files, while ensuring portability across both public and private cloud environments. Additionally, MinIO offers a public play server that allows developers and system administrators to familiarize themselves with S3-compatible object storage.

OpsMx specializes in automating software delivery with a focus on security. The company provides a data intelligence platform that enables organizations to deploy software with minimal human intervention. By utilizing machine learning, OpsMx enhances performance and fault modeling for microservices and serverless computing architectures. This approach helps developers minimize manual errors and improve the overall quality of their products. OpsMx serves a diverse clientele, including several Fortune 10 companies, and aims to integrate security into continuous integration and continuous delivery (CI/CD) processes through its Deployment Firewall, ensuring a robust and secure software delivery pipeline.

Alation, Inc. is a provider of enterprise data intelligence solutions based in Redwood City, California. Founded in 2012, the company specializes in a platform that facilitates data search and discovery, data governance, data stewardship, and analytics, aiming to support organizations in their digital transformation efforts. Alation's platform is distinguished by its Behavioral Analysis Engine, which integrates machine learning with human insights, enabling effective metadata management and collaboration. This approach empowers users to easily find and understand the data they require, while also ensuring proper governance and compliance. Alation has established itself as a leader in the data catalog market, delivering tools that help analysts make informed decisions by providing a comprehensive view of data usage and provenance.

SiMa.ai is a company based in San Jose, California, focused on designing and developing a machine learning platform that provides a single-chip solution for embedded systems. The company specializes in machine learning system-on-chip (MLSoC) technology, which allows for high-performance machine learning inference at low power in edge applications. SiMa.ai's platform enables seamless deployment and scaling of machine learning solutions, addressing various computer vision challenges with significantly improved performance and energy efficiency. The hardware-to-software stack of SiMa.ai is adaptable to multiple frameworks and models, enhancing the capabilities of applications in areas such as computer vision and generative AI. Founded in 2018, SiMa.ai aims to facilitate the integration of advanced machine learning technology into embedded systems while ensuring safe and secure operations.

Pecan operates a predictive analytics platform that empowers businesses to forecast critical outcomes effectively. It utilizes a low-code interface that simplifies the predictive modeling process, allowing companies to generate accurate predictions without needing in-house data scientists or engineers. Pecan automates data preparation and feature engineering, enabling users, particularly SQL-trained business intelligence analysts, to create tailored predictive models quickly. The platform supports various industries, including fintech, insurance, retail, and consumer services, by providing pre-built models and templates that align with specific business objectives. This capability allows organizations to enhance customer lifetime value, retention, conversion rates, and demand forecasting. Pecan's solutions have a significant financial impact, influencing billions of dollars in revenue across various sectors.

Ibex Medical Analytics Ltd, based in Tel Aviv, Israel, specializes in developing AI-based diagnostic systems for cancer pathology. The company's flagship product, the Ibex Second Read system, works alongside human pathologists to analyze cases, identifying discrepancies in diagnoses. This innovative technology harnesses artificial intelligence, data science, and machine learning to analyze digitized glass slides and electronic medical records, revealing critical patterns that enhance clinical decision-making. By streamlining pathology workflows, Ibex aims to provide rapid, objective, and accurate diagnoses, ultimately improving patient outcomes and quality of life. The company comprises a multidisciplinary team of entrepreneurs, data scientists, software engineers, and medical experts dedicated to advancing cancer care through AI applications in diagnostics.

Katana Graph specializes in developing a graph intelligence platform that empowers businesses to harness the potential of large-scale irregular and unstructured data. By integrating advanced algorithms, hardware acceleration, and cutting-edge storage solutions, the company enhances graph databases, analytics, and mining capabilities, achieving significant performance improvements. This innovative platform allows clients to efficiently process and analyze complex data sets, thereby facilitating better insights and decision-making.

Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.

SiMa.ai is a company based in San Jose, California, focused on designing and developing a machine learning platform that provides a single-chip solution for embedded systems. The company specializes in machine learning system-on-chip (MLSoC) technology, which allows for high-performance machine learning inference at low power in edge applications. SiMa.ai's platform enables seamless deployment and scaling of machine learning solutions, addressing various computer vision challenges with significantly improved performance and energy efficiency. The hardware-to-software stack of SiMa.ai is adaptable to multiple frameworks and models, enhancing the capabilities of applications in areas such as computer vision and generative AI. Founded in 2018, SiMa.ai aims to facilitate the integration of advanced machine learning technology into embedded systems while ensuring safe and secure operations.

FogHorn is a developer of edge intelligence software that focuses on industrial and commercial Internet of Things (IoT) applications. Its platform enhances on-premises edge environments with advanced analytics and machine learning capabilities, facilitating applications for monitoring, diagnostics, machine performance optimization, and proactive maintenance. The software is designed for a variety of sectors, including manufacturing, energy, healthcare, and transportation, and is compatible with major IoT platforms in public cloud environments, such as AWS and Azure. This integration enables organizations to leverage real-time, industrial-grade analytics for informed decision-making, ultimately driving operational efficiency and profitability.

Pecan operates a predictive analytics platform that empowers businesses to forecast critical outcomes effectively. It utilizes a low-code interface that simplifies the predictive modeling process, allowing companies to generate accurate predictions without needing in-house data scientists or engineers. Pecan automates data preparation and feature engineering, enabling users, particularly SQL-trained business intelligence analysts, to create tailored predictive models quickly. The platform supports various industries, including fintech, insurance, retail, and consumer services, by providing pre-built models and templates that align with specific business objectives. This capability allows organizations to enhance customer lifetime value, retention, conversion rates, and demand forecasting. Pecan's solutions have a significant financial impact, influencing billions of dollars in revenue across various sectors.

OpsMx specializes in automating software delivery with a focus on security. The company provides a data intelligence platform that enables organizations to deploy software with minimal human intervention. By utilizing machine learning, OpsMx enhances performance and fault modeling for microservices and serverless computing architectures. This approach helps developers minimize manual errors and improve the overall quality of their products. OpsMx serves a diverse clientele, including several Fortune 10 companies, and aims to integrate security into continuous integration and continuous delivery (CI/CD) processes through its Deployment Firewall, ensuring a robust and secure software delivery pipeline.

BabbleLabs, Inc. specializes in developing speech enhancement and noise removal software aimed at improving communication in critical environments. The company's offerings include Clear Cloud, an API-based technology that eliminates unwanted noise from voice-sensitive projects; Clear Edge, a low-latency embedded solution for smart devices; Clear Command, which facilitates voice control and command recognition; and Clear Analytics, designed to extract actionable insights from speech streams. BabbleLabs addresses a variety of applications, including smartphones, business conferencing, customer service, automotive, and public safety. Founded in 2017 and headquartered in Campbell, California, BabbleLabs leverages advancements in speech science, deep learning, and computational processing to enhance speech quality and intelligibility, thereby fostering better interactions between humans and machines.

Ibex Medical Analytics Ltd, based in Tel Aviv, Israel, specializes in developing AI-based diagnostic systems for cancer pathology. The company's flagship product, the Ibex Second Read system, works alongside human pathologists to analyze cases, identifying discrepancies in diagnoses. This innovative technology harnesses artificial intelligence, data science, and machine learning to analyze digitized glass slides and electronic medical records, revealing critical patterns that enhance clinical decision-making. By streamlining pathology workflows, Ibex aims to provide rapid, objective, and accurate diagnoses, ultimately improving patient outcomes and quality of life. The company comprises a multidisciplinary team of entrepreneurs, data scientists, software engineers, and medical experts dedicated to advancing cancer care through AI applications in diagnostics.

Graphcore Limited is a hardware systems company that specializes in developing intelligent processing units (IPUs) tailored for artificial intelligence and machine learning applications. Founded in 2016 and headquartered in Bristol, United Kingdom, the company offers products such as IPU-Accelerator cards, which enhance server performance for machine learning tasks, and IPU-Appliance systems that improve inference capabilities for various users. Graphcore's innovative IPU architecture allows developers to run existing machine learning models significantly faster, facilitating the deployment of advanced AI solutions across diverse servers and software environments. In addition to its Bristol headquarters, Graphcore has locations in Palo Alto, London, Oslo, and Beijing, expanding its global presence in the AI technology sector.

Noodle.ai specializes in providing innovative enterprise artificial intelligence solutions aimed at addressing complex business challenges and enhancing operational efficiency. The company collaborates with business executives and process experts to develop applications that leverage advanced technologies such as machine learning, predictive data analytics, and data science. By employing sophisticated mathematical modeling and techniques like high-dimensional non-linear regressions and neural networks, Noodle.ai's software identifies optimal operating parameters within supply chains. This approach helps clients reduce hidden waste and improve profitability, ultimately driving significant advancements in customer, product, and enterprise operations.

Graphcore Limited is a hardware systems company that specializes in developing intelligent processing units (IPUs) tailored for artificial intelligence and machine learning applications. Founded in 2016 and headquartered in Bristol, United Kingdom, the company offers products such as IPU-Accelerator cards, which enhance server performance for machine learning tasks, and IPU-Appliance systems that improve inference capabilities for various users. Graphcore's innovative IPU architecture allows developers to run existing machine learning models significantly faster, facilitating the deployment of advanced AI solutions across diverse servers and software environments. In addition to its Bristol headquarters, Graphcore has locations in Palo Alto, London, Oslo, and Beijing, expanding its global presence in the AI technology sector.

FogHorn is a developer of edge intelligence software that focuses on industrial and commercial Internet of Things (IoT) applications. Its platform enhances on-premises edge environments with advanced analytics and machine learning capabilities, facilitating applications for monitoring, diagnostics, machine performance optimization, and proactive maintenance. The software is designed for a variety of sectors, including manufacturing, energy, healthcare, and transportation, and is compatible with major IoT platforms in public cloud environments, such as AWS and Azure. This integration enables organizations to leverage real-time, industrial-grade analytics for informed decision-making, ultimately driving operational efficiency and profitability.

MinIO, Inc. is a developer of a high-performance, open-source object storage server that is compatible with Amazon S3 APIs. Founded in 2014 and based in Palo Alto, California, the company specializes in providing a Kubernetes-native object store optimized for cloud-native workloads. MinIO's platform is designed to support the growing demands of unstructured data, allowing enterprises to manage various workloads such as machine learning, analytics, and data backup from a single solution. It enables application developers to create their own cloud storage systems for diverse data types, including images, videos, and log files, while ensuring portability across both public and private cloud environments. Additionally, MinIO offers a public play server that allows developers and system administrators to familiarize themselves with S3-compatible object storage.

Primary Data, founded in 2013 and based in Sandy, Utah, specializes in intelligence and automation software for enterprise data management, facilitating seamless integration between on-premises IT infrastructure and cloud environments. The company's flagship platform, DataSphere, utilizes metadata management and machine learning to optimize data movement within a global namespace. It enables organizations managing large data volumes to efficiently handle billions of files, automate data migration processes, and improve cloud integration while enhancing network-attached storage (NAS) performance. By ensuring that the right data is accessible to the right applications at the right time, Primary Data helps enterprises maximize the value of their infrastructure investments.

Iguazio is a data science platform designed to assist enterprises in developing, deploying, and managing AI applications on a large scale. By enabling real-time execution of AI models, it supports deployment across various environments, including multi-cloud, on-premises, and edge locations. The platform facilitates the analysis of diverse data sources to generate actionable insights, allowing organizations to effectively leverage AI for business transformation. Additionally, Iguazio accelerates the transition of AI projects into practical applications, streamlining the development of automated machine learning pipelines and significantly reducing the time needed to realize tangible business value from AI initiatives.

Graphcore Limited is a hardware systems company that specializes in developing intelligent processing units (IPUs) tailored for artificial intelligence and machine learning applications. Founded in 2016 and headquartered in Bristol, United Kingdom, the company offers products such as IPU-Accelerator cards, which enhance server performance for machine learning tasks, and IPU-Appliance systems that improve inference capabilities for various users. Graphcore's innovative IPU architecture allows developers to run existing machine learning models significantly faster, facilitating the deployment of advanced AI solutions across diverse servers and software environments. In addition to its Bristol headquarters, Graphcore has locations in Palo Alto, London, Oslo, and Beijing, expanding its global presence in the AI technology sector.

OpsMx specializes in automating software delivery with a focus on security. The company provides a data intelligence platform that enables organizations to deploy software with minimal human intervention. By utilizing machine learning, OpsMx enhances performance and fault modeling for microservices and serverless computing architectures. This approach helps developers minimize manual errors and improve the overall quality of their products. OpsMx serves a diverse clientele, including several Fortune 10 companies, and aims to integrate security into continuous integration and continuous delivery (CI/CD) processes through its Deployment Firewall, ensuring a robust and secure software delivery pipeline.

Alpine Data offers an advanced analytics platform designed to empower organizations in harnessing the vast amounts of information generated annually. As the first collaborative, code-free solution for advanced analytics on Big Data and Hadoop, Alpine enables data scientists and business analysts to analyze large datasets and develop predictive models without the need for coding. The platform supports enterprise decision-making, enhances customer retention, optimizes campaigns, and facilitates machine learning processes tailored to specific business needs. By leveraging Alpine's capabilities, companies across various sectors, including financial services and healthcare, can effectively navigate the complexities of data analysis and gain a competitive edge in their respective industries.

FogHorn is a developer of edge intelligence software that focuses on industrial and commercial Internet of Things (IoT) applications. Its platform enhances on-premises edge environments with advanced analytics and machine learning capabilities, facilitating applications for monitoring, diagnostics, machine performance optimization, and proactive maintenance. The software is designed for a variety of sectors, including manufacturing, energy, healthcare, and transportation, and is compatible with major IoT platforms in public cloud environments, such as AWS and Azure. This integration enables organizations to leverage real-time, industrial-grade analytics for informed decision-making, ultimately driving operational efficiency and profitability.

Graphcore Limited is a hardware systems company that specializes in developing intelligent processing units (IPUs) tailored for artificial intelligence and machine learning applications. Founded in 2016 and headquartered in Bristol, United Kingdom, the company offers products such as IPU-Accelerator cards, which enhance server performance for machine learning tasks, and IPU-Appliance systems that improve inference capabilities for various users. Graphcore's innovative IPU architecture allows developers to run existing machine learning models significantly faster, facilitating the deployment of advanced AI solutions across diverse servers and software environments. In addition to its Bristol headquarters, Graphcore has locations in Palo Alto, London, Oslo, and Beijing, expanding its global presence in the AI technology sector.

FogHorn is a developer of edge intelligence software that focuses on industrial and commercial Internet of Things (IoT) applications. Its platform enhances on-premises edge environments with advanced analytics and machine learning capabilities, facilitating applications for monitoring, diagnostics, machine performance optimization, and proactive maintenance. The software is designed for a variety of sectors, including manufacturing, energy, healthcare, and transportation, and is compatible with major IoT platforms in public cloud environments, such as AWS and Azure. This integration enables organizations to leverage real-time, industrial-grade analytics for informed decision-making, ultimately driving operational efficiency and profitability.

Cylance Inc. is a cybersecurity company that specializes in artificial intelligence-driven security solutions designed to predict and prevent advanced threats and malware. Founded in 2012 and based in Irvine, California, Cylance employs a unique mathematical approach and machine learning to rapidly identify potential threats, differentiating itself by focusing on proactive security measures rather than traditional blacklist methods. The company's offerings include protection against various attack vectors such as malware, ransomware, and fileless malware, as well as services like threat hunting, incident response, and consulting. Cylance's solutions are utilized across multiple industries, including critical infrastructure, healthcare, finance, and education, aiming to enhance the security posture of businesses and government entities. In 2019, Cylance became a subsidiary of BlackBerry Limited, further expanding its capabilities in the cybersecurity landscape.

Iguazio is a data science platform designed to assist enterprises in developing, deploying, and managing AI applications on a large scale. By enabling real-time execution of AI models, it supports deployment across various environments, including multi-cloud, on-premises, and edge locations. The platform facilitates the analysis of diverse data sources to generate actionable insights, allowing organizations to effectively leverage AI for business transformation. Additionally, Iguazio accelerates the transition of AI projects into practical applications, streamlining the development of automated machine learning pipelines and significantly reducing the time needed to realize tangible business value from AI initiatives.

BlueData offers a cloud-based software platform that enhances the deployment of AI, machine learning, data science, and big data analytics solutions for enterprises. By utilizing container technology, particularly Docker, BlueData enables faster and more cost-effective access to essential applications such as Spark, Kafka, TensorFlow, and Hadoop. The platform is designed to streamline the deployment process, allowing organizations to achieve quicker time-to-value while reducing overall costs. BlueData's innovations empower businesses to access analytics and machine learning capabilities on-demand, facilitating efficient management of their big data infrastructure.

Cylance Inc. is a cybersecurity company that specializes in artificial intelligence-driven security solutions designed to predict and prevent advanced threats and malware. Founded in 2012 and based in Irvine, California, Cylance employs a unique mathematical approach and machine learning to rapidly identify potential threats, differentiating itself by focusing on proactive security measures rather than traditional blacklist methods. The company's offerings include protection against various attack vectors such as malware, ransomware, and fileless malware, as well as services like threat hunting, incident response, and consulting. Cylance's solutions are utilized across multiple industries, including critical infrastructure, healthcare, finance, and education, aiming to enhance the security posture of businesses and government entities. In 2019, Cylance became a subsidiary of BlackBerry Limited, further expanding its capabilities in the cybersecurity landscape.

Cyphort Inc. specializes in developing software and appliance-based solutions aimed at safeguarding enterprises and government entities from cybercrime attacks. Founded in 2008 and based in Santa Clara, California, Cyphort employs a distributed software platform that enhances enterprise visibility and accurately detects advanced threats, including zero-day attacks. By utilizing behavioral analytics and machine learning, the platform analyzes raw data from various sources, including web and email traffic, to identify and prioritize security threats in the context of the organization's ecosystem. This innovative approach allows for seamless integration across multiple environments, including cloud and virtual infrastructures. Additionally, Cyphort offers an Anti-SIEM security analytics platform that focuses on threat detection and provides actionable intelligence to enhance overall security posture. As of September 2017, Cyphort operates as a subsidiary of Juniper Networks, Inc.

Lastline, Inc. develops a comprehensive security platform focused on detecting and managing advanced malware threats, including persistent attacks, zero-day exploits, and evasive cyber malware. Founded in 2009 by leading security researchers, the company offers real-time malware analysis across various vectors such as network, email, and mobile attacks. Its platform provides essential features like threat detection, actionable intelligence, and private cloud deployment, enabling organizations to protect their networks, endpoints, and servers effectively. Lastline also includes specialized solutions like Lastline Breach Defender, which visualizes data breaches as they occur across networks. With a global presence and strategic partnerships with companies such as IBM and Dell, Lastline aims to enhance cybersecurity for both private and public organizations. The company is headquartered in Redwood City, California, and operates additional offices in North America, Europe, and Asia.

JetPatch is a centralized patch management platform designed for end-to-end enterprise patch management and vulnerability remediation. Founded in 2017 and based in Boston, Massachusetts, JetPatch aims to ensure that systems remain secure, up-to-date, and operating efficiently through an automated patch management system. The platform leverages existing patch managers and includes the JetPatch Agent Manager, which helps IT and DevOps professionals streamline the deployment, maintenance, and troubleshooting of server tool agents, significantly reducing manual effort. By utilizing machine learning technology to optimize patch rollouts, JetPatch enhances system security and minimizes downtime. Its focus is on maintaining the performance and availability of business-critical applications across diverse infrastructures, including physical, virtual, private, public cloud, and hybrid environments.

RichRelevance, Inc. is a leading provider of omnichannel personalization solutions, enabling multinational companies to enhance customer experiences across various platforms, including web, mobile, and in-store environments. Founded in 2005 and headquartered in San Francisco, the company offers a comprehensive personalization platform known as Relevance Cloud, which includes tools such as RichRelevance Discover for personalized search and browsing, RichRelevance Engage for targeted marketing campaigns, and RichRelevance Recommend for data-driven product suggestions. Additionally, RichRelevance provides API-based tools through RichRelevance Build and strategic decision-making support with RichRelevance Xen AI. The firm serves over 240 clients worldwide, driving significant sales and daily decision-making processes. It has a global presence with offices in major cities, including New York, Seattle, London, and Paris, and operates as a subsidiary of Manthan Software Services Pvt. Ltd. RichRelevance's capabilities and services are designed to create differentiated customer experiences in an integrated retail landscape.

Since 1984, StatSoft has been developing the Statistica suite of analytics software products and solutions. Statistica provides the most comprehensive array of data analysis, data management, data visualization, and data mining solutions. Techniques include the widest selection of predictive modeling, clustering, classification, and exploratory procedures in one software platform. Statistica is a tried and true analytics platform with more than two decades of history in delivering successful business results for our customers, a global user base of more than one million users.

Primary Data, founded in 2013 and based in Sandy, Utah, specializes in intelligence and automation software for enterprise data management, facilitating seamless integration between on-premises IT infrastructure and cloud environments. The company's flagship platform, DataSphere, utilizes metadata management and machine learning to optimize data movement within a global namespace. It enables organizations managing large data volumes to efficiently handle billions of files, automate data migration processes, and improve cloud integration while enhancing network-attached storage (NAS) performance. By ensuring that the right data is accessible to the right applications at the right time, Primary Data helps enterprises maximize the value of their infrastructure investments.

Lastline, Inc. develops a comprehensive security platform focused on detecting and managing advanced malware threats, including persistent attacks, zero-day exploits, and evasive cyber malware. Founded in 2009 by leading security researchers, the company offers real-time malware analysis across various vectors such as network, email, and mobile attacks. Its platform provides essential features like threat detection, actionable intelligence, and private cloud deployment, enabling organizations to protect their networks, endpoints, and servers effectively. Lastline also includes specialized solutions like Lastline Breach Defender, which visualizes data breaches as they occur across networks. With a global presence and strategic partnerships with companies such as IBM and Dell, Lastline aims to enhance cybersecurity for both private and public organizations. The company is headquartered in Redwood City, California, and operates additional offices in North America, Europe, and Asia.

RichRelevance, Inc. is a leading provider of omnichannel personalization solutions, enabling multinational companies to enhance customer experiences across various platforms, including web, mobile, and in-store environments. Founded in 2005 and headquartered in San Francisco, the company offers a comprehensive personalization platform known as Relevance Cloud, which includes tools such as RichRelevance Discover for personalized search and browsing, RichRelevance Engage for targeted marketing campaigns, and RichRelevance Recommend for data-driven product suggestions. Additionally, RichRelevance provides API-based tools through RichRelevance Build and strategic decision-making support with RichRelevance Xen AI. The firm serves over 240 clients worldwide, driving significant sales and daily decision-making processes. It has a global presence with offices in major cities, including New York, Seattle, London, and Paris, and operates as a subsidiary of Manthan Software Services Pvt. Ltd. RichRelevance's capabilities and services are designed to create differentiated customer experiences in an integrated retail landscape.

Alpine Data offers an advanced analytics platform designed to empower organizations in harnessing the vast amounts of information generated annually. As the first collaborative, code-free solution for advanced analytics on Big Data and Hadoop, Alpine enables data scientists and business analysts to analyze large datasets and develop predictive models without the need for coding. The platform supports enterprise decision-making, enhances customer retention, optimizes campaigns, and facilitates machine learning processes tailored to specific business needs. By leveraging Alpine's capabilities, companies across various sectors, including financial services and healthcare, can effectively navigate the complexities of data analysis and gain a competitive edge in their respective industries.

Primary Data, founded in 2013 and based in Sandy, Utah, specializes in intelligence and automation software for enterprise data management, facilitating seamless integration between on-premises IT infrastructure and cloud environments. The company's flagship platform, DataSphere, utilizes metadata management and machine learning to optimize data movement within a global namespace. It enables organizations managing large data volumes to efficiently handle billions of files, automate data migration processes, and improve cloud integration while enhancing network-attached storage (NAS) performance. By ensuring that the right data is accessible to the right applications at the right time, Primary Data helps enterprises maximize the value of their infrastructure investments.

Cyphort Inc. specializes in developing software and appliance-based solutions aimed at safeguarding enterprises and government entities from cybercrime attacks. Founded in 2008 and based in Santa Clara, California, Cyphort employs a distributed software platform that enhances enterprise visibility and accurately detects advanced threats, including zero-day attacks. By utilizing behavioral analytics and machine learning, the platform analyzes raw data from various sources, including web and email traffic, to identify and prioritize security threats in the context of the organization's ecosystem. This innovative approach allows for seamless integration across multiple environments, including cloud and virtual infrastructures. Additionally, Cyphort offers an Anti-SIEM security analytics platform that focuses on threat detection and provides actionable intelligence to enhance overall security posture. As of September 2017, Cyphort operates as a subsidiary of Juniper Networks, Inc.

Lastline, Inc. develops a comprehensive security platform focused on detecting and managing advanced malware threats, including persistent attacks, zero-day exploits, and evasive cyber malware. Founded in 2009 by leading security researchers, the company offers real-time malware analysis across various vectors such as network, email, and mobile attacks. Its platform provides essential features like threat detection, actionable intelligence, and private cloud deployment, enabling organizations to protect their networks, endpoints, and servers effectively. Lastline also includes specialized solutions like Lastline Breach Defender, which visualizes data breaches as they occur across networks. With a global presence and strategic partnerships with companies such as IBM and Dell, Lastline aims to enhance cybersecurity for both private and public organizations. The company is headquartered in Redwood City, California, and operates additional offices in North America, Europe, and Asia.