Index Ventures

Taktile is a software platform designed to help businesses efficiently build, run, and evaluate automated decision flows using data-driven methods. It enables companies to accelerate product market entry, minimize decision-making risks, and adapt to changes while optimizing profit margins. The platform empowers decision-makers to modify complex decision flows independently, back-test changes to understand their potential impact, and iterate before final implementation. Additionally, Taktile processes decision logs and historical data, offering risk managers essential tools for analyzing market conditions and assessing changes prior to deployment. This technology also supports data science teams in scaling and maintaining machine learning models by monitoring performance and detecting errors, ultimately facilitating the effective adoption of machine learning and AI tools within organizations.

Cradle is a biotech company that uses prediction algorithms and AI design recommendations to assist biologists in designing proteins. Cradle offers complete ownership of the intellectual property while maintaining the privacy and security of your sequences and data.

Phaidra, Inc. is an AI solutions provider based in Seattle, Washington, founded in 2019. The company specializes in developing artificial intelligence-powered control systems tailored for large industrial facilities. Phaidra's technology analyzes vast amounts of sensor data to create intelligent agents that optimize complex operations. This virtual plant operator enhances the performance of mission-critical facilities by improving energy efficiency, stability, and sustainability. Through its closed-loop AI control service, Phaidra enables operations teams to achieve significant operational improvements, thereby maximizing yield and enhancing safety within industrial environments.

EthonAI develops an AI-powered platform focused on enhancing quality inspection and root cause analysis in manufacturing. The platform offers no-code applications that can be easily utilized by factory operators and engineers without the need for coding skills. By specializing in visual inspection and quality management, EthonAI enables manufacturers to detect and prevent quality defects, which helps reduce production waste. Additionally, the platform aims to improve job satisfaction for factory workers by streamlining quality assurance processes.

DeepL GmbH is a company based in Cologne, Germany, specializing in artificial intelligence and machine learning for language translation. Founded in 2009 and originally known as Linguee GmbH, it rebranded to DeepL in 2017. The company offers a range of products, including the DeepL Translator, a machine translation service, and the Linguee App, which serves as a bilingual dictionary. DeepL's tools combine editorial dictionaries and search capabilities, allowing users to translate texts and learn foreign languages effectively. Additionally, the company provides an application programming interface (API) that enables software developers to integrate high-quality translation services into their applications, enhancing communication across languages.

APEX is an AI security company that focuses on providing organizations with visibility into generative AI activity while ensuring a robust security platform. The company aims to empower users to leverage artificial intelligence safely and confidently, addressing the growing need for security solutions in an increasingly AI-driven landscape. By offering tools that enhance security and mitigate risks associated with AI technologies, APEX helps organizations harness the potential of AI without compromising their safety or privacy.

Vizcom is an AI-powered creative tool aimed at industrial designers and artists, designed to enhance and expedite their creative processes. The platform utilizes machine learning to offer automatic digital rendering, color application, shading, and rendering capabilities. It allows users to generate and explore synthesized images, providing valuable creative inspiration and facilitating the realization of their ideas. By streamlining various aspects of the design process, Vizcom supports artists and designers in bringing their visions to life more efficiently.

Superlinked is a company that specializes in transforming complex data into vector embeddings, enabling improved information retrieval. It has developed a real-time personalized search and recommendation platform that addresses the challenges of accessing and utilizing information effectively. By focusing on the emerging vector operations segment within the machine learning operations market, Superlinked provides tools for software developers to create innovative products that leverage vector embeddings. The company's technology enhances the way data is processed and utilized, making it easier for users to find relevant information and recommendations tailored to their needs.

Adaptive ML is a technology firm that develops an LLM platform to help companies train and deploy language models using user feedback.

Ideogram is an artificial intelligence startup that provides generative text-to-image technology.

Agrawal's AI initiative operates as an AI company to create software for LLM developers. Parag Agrawal formerly held the position of Twitter's CEO before Elon Musk's takeover now venturing into artificial intelligence as the venture's name and product details have not been revealed.

Cradle is a biotech company that uses prediction algorithms and AI design recommendations to assist biologists in designing proteins. Cradle offers complete ownership of the intellectual property while maintaining the privacy and security of your sequences and data.

Ideogram is an artificial intelligence startup that provides generative text-to-image technology.

Sylvera is a carbon data provider based in London, United Kingdom, focused on promoting effective climate action. The company has developed machine learning-based tools that monitor the performance of carbon offset projects, allowing for tracking at intervals as frequent as weekly. These tools are designed to integrate seamlessly into both internal and external reporting frameworks, enabling businesses and governments to manage reputational risks while also enhancing transparency in carbon data for their customers. By providing detailed insights into the effectiveness of carbon offsets, Sylvera supports organizations in their efforts to make informed decisions about sustainability and climate initiatives.

Causaly Inc. specializes in developing an artificial intelligence-based platform aimed at enhancing biomedical research by uncovering hidden evidence and causal relationships in scientific literature. Founded in 2017, the company provides a semantic AI tool that utilizes linguistic and statistical models to validate causal claims and generate research hypotheses. This platform allows users to conduct deep searches across vast corpora of scientific articles, significantly reducing the time required to find answers to complex research questions. In addition to its core capabilities in causal analytics and hypothesis generation, Causaly offers features such as semantic search and natural language processing. Its technology is designed to amplify human cognitive abilities in biomedicine, enabling researchers to make informed decisions and accelerate their discovery processes. Headquartered in Wilmington, Delaware, Causaly also maintains offices in London and Athens.

Mistral AI is a company focused on developing advanced artificial intelligence solutions, particularly in the realm of open-source models. It specializes in creating customizable and compute-efficient large language models that facilitate a range of applications, including natural language processing and complex problem-solving. Mistral AI aims to foster safe artificial general intelligence that benefits all users, allowing businesses and organizations to harness AI technology without the burden of building and maintaining their own models. Through a community-driven development approach, Mistral AI seeks to enhance efficiency, innovation, and decision-making for its clients.

Cohere is a platform that provides developers and businesses with access to natural language processing (NLP) capabilities, leveraging advanced large language models. The company's software enables machines to comprehend and interpret language effectively, facilitating the analysis of multiple web pages. This functionality helps users understand the meaning, sentiment, and tone of text, thereby enhancing comprehension abilities. By utilizing Cohere's technology, businesses can create more personalized user experiences, making information more accessible and intelligible.

Twelve Labs specializes in a multimodal artificial intelligence platform designed to enhance video understanding across various applications. The platform enables businesses and developers to analyze video content by integrating visual and auditory data, facilitating the creation of intelligent video applications. It offers APIs for functions such as searching, generating, and classifying video content, allowing users to deploy solutions on any cloud, customize models, and fine-tune with their own data. Twelve Labs serves diverse industries, including technology, media, entertainment, and security, empowering clients to harness complex video information for a range of downstream tasks.

Upollo accelerates subscription business growth by predicting who is going to churn, convert, expand and why. They analyze over half a billion dollars in subscription revenue, billions of events for tens of millions of users and provide these internet scale learnings to subscription businesses all over the globe. Customer success teams use Upollo to find and act on churn before it happens and identify expansion opportunities, sales and marketing teams use it to find the right opportunities and how to turn them into additional revenue.

Taktile is a software platform designed to help businesses efficiently build, run, and evaluate automated decision flows using data-driven methods. It enables companies to accelerate product market entry, minimize decision-making risks, and adapt to changes while optimizing profit margins. The platform empowers decision-makers to modify complex decision flows independently, back-test changes to understand their potential impact, and iterate before final implementation. Additionally, Taktile processes decision logs and historical data, offering risk managers essential tools for analyzing market conditions and assessing changes prior to deployment. This technology also supports data science teams in scaling and maintaining machine learning models by monitoring performance and detecting errors, ultimately facilitating the effective adoption of machine learning and AI tools within organizations.

Cradle is a biotech company that uses prediction algorithms and AI design recommendations to assist biologists in designing proteins. Cradle offers complete ownership of the intellectual property while maintaining the privacy and security of your sequences and data.

Humanloop Ltd is a London-based company that specializes in developing an artificial intelligence data labeling and model training platform aimed at enhancing the efficiency of businesses in deploying machine learning solutions. Established in 2020, Humanloop's tools facilitate the training of AI models using minimal labeled data, allowing engineers and data scientists to expedite the transition from concept to deployment. The platform supports best practices in prompt management, evaluation, and observability, enabling organizations to effectively leverage AI technologies. Notable clients, including teams from Gusto, Vanta, and Duolingo, utilize Humanloop's offerings to create reliable AI products and improve their operational capabilities.

Grid.ai, Inc. is a technology company that provides a platform for training artificial intelligence (AI) models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs). Founded in 2019 and headquartered in New York, the company offers tools such as Grid Train, which facilitates AI research by simplifying model training and iteration, and Grid View, a web application for monitoring and managing infrastructure. Additionally, it provides Tensorboard for experiment analysis. Grid.ai aims to support machine learning engineers, data scientists, and AI researchers by enabling the development of advanced AI models and end-to-end machine learning systems, known as Lightning Apps, that are multi-cloud and fault-tolerant. The company gained significant funding in October 2020, which has bolstered its mission to enhance AI capabilities for users.

Twelve Labs specializes in a multimodal artificial intelligence platform designed to enhance video understanding across various applications. The platform enables businesses and developers to analyze video content by integrating visual and auditory data, facilitating the creation of intelligent video applications. It offers APIs for functions such as searching, generating, and classifying video content, allowing users to deploy solutions on any cloud, customize models, and fine-tune with their own data. Twelve Labs serves diverse industries, including technology, media, entertainment, and security, empowering clients to harness complex video information for a range of downstream tasks.

Cohere is a platform that provides developers and businesses with access to natural language processing (NLP) capabilities, leveraging advanced large language models. The company's software enables machines to comprehend and interpret language effectively, facilitating the analysis of multiple web pages. This functionality helps users understand the meaning, sentiment, and tone of text, thereby enhancing comprehension abilities. By utilizing Cohere's technology, businesses can create more personalized user experiences, making information more accessible and intelligible.

Great Expectations is a developer of an open-source data quality platform aimed at enhancing the speed and integrity of data collaboration. The platform facilitates testing of data pipelines, thereby improving overall data quality. By using machine learning algorithms, it provides tools for validating, documenting, and profiling data, which helps organizations eliminate pipeline debt. This approach enables clients to uphold their data standards and fosters better communication regarding data across different teams. Through its innovative solutions, Great Expectations seeks to establish a shared data quality standard in the industry.

Humu, Inc. is a human resource technology company based in Mountain View, California, founded in 2017. The company specializes in developing behavioral-change software that utilizes scientific research and machine learning to enhance workplace dynamics. Humu's platform enables employees to recognize each other's contributions, measure important factors that impact employee satisfaction, and promote positive behavioral changes within teams. By applying proven methodologies, Humu aims to help individuals become better leaders, managers, and teammates, ultimately driving productivity and fostering a supportive work environment.

Sylvera is a carbon data provider based in London, United Kingdom, focused on promoting effective climate action. The company has developed machine learning-based tools that monitor the performance of carbon offset projects, allowing for tracking at intervals as frequent as weekly. These tools are designed to integrate seamlessly into both internal and external reporting frameworks, enabling businesses and governments to manage reputational risks while also enhancing transparency in carbon data for their customers. By providing detailed insights into the effectiveness of carbon offsets, Sylvera supports organizations in their efforts to make informed decisions about sustainability and climate initiatives.

Abacus.AI, Inc. is a San Francisco-based company that specializes in cloud-based artificial intelligence services. Founded in 2019, it focuses on helping organizations design, train, and implement machine and deep learning models tailored to various business needs. The company's platform enables businesses to integrate customizable deep learning systems into their existing processes and customer experiences. Abacus.AI offers a range of solutions, including AI for IT operations, marketing and sales, fraud detection, recommendation systems, forecasting, and predictive modeling. Its autonomous AI platform is designed to support common enterprise applications, such as churn prediction and time-series forecasting, facilitating the creation of state-of-the-art, real-time AI solutions for clients.

Resistant AI specializes in fraud prevention software aimed at safeguarding automated financial systems from manipulation and attacks. The company develops solutions that protect vital processes such as online credit scoring, fraud detection, and anti-money laundering systems from organized fraudsters. By focusing on the risks associated with machine learning and artificial intelligence, Resistant AI assists banks, insurance companies, and e-commerce entities in securing their digital transactions. Their technology enables these organizations to implement identity forensics, thereby enhancing the integrity of automated financial services and mitigating the threats posed by advanced fraud.

Crossing Minds is an innovative platform that specializes in delivering personalized recommendations to enhance online discovery and user engagement. Founded by experts in artificial intelligence, the platform utilizes advanced deep learning techniques and comprehensive taste analytics to understand human behavior. By employing methods such as collaborative filtering and extensive data analysis, Crossing Minds offers businesses tailored recommendations that prioritize customer privacy. The company's goal is to help clients connect with their customers more effectively and enable individuals to discover products that resonate with their interests, ultimately fostering loyalty and enhancing user experience.

Taktile is a software platform designed to help businesses efficiently build, run, and evaluate automated decision flows using data-driven methods. It enables companies to accelerate product market entry, minimize decision-making risks, and adapt to changes while optimizing profit margins. The platform empowers decision-makers to modify complex decision flows independently, back-test changes to understand their potential impact, and iterate before final implementation. Additionally, Taktile processes decision logs and historical data, offering risk managers essential tools for analyzing market conditions and assessing changes prior to deployment. This technology also supports data science teams in scaling and maintaining machine learning models by monitoring performance and detecting errors, ultimately facilitating the effective adoption of machine learning and AI tools within organizations.

Moises is an audio-tech company specializing in music and audio processing through machine learning and data science. It provides a platform that offers musicians and producers a range of advanced AI tools, including audio separation, pitch and beat detection, chord detection, a metronome, tempo changer, and mastering services. These tools enable users to practice, study, teach, and play music more effectively, allowing for greater customization and editing of tracks. Moises aims to enhance the creative process for musicians by integrating innovative technology into their workflows.

Great Expectations is a developer of an open-source data quality platform aimed at enhancing the speed and integrity of data collaboration. The platform facilitates testing of data pipelines, thereby improving overall data quality. By using machine learning algorithms, it provides tools for validating, documenting, and profiling data, which helps organizations eliminate pipeline debt. This approach enables clients to uphold their data standards and fosters better communication regarding data across different teams. Through its innovative solutions, Great Expectations seeks to establish a shared data quality standard in the industry.

Causaly Inc. specializes in developing an artificial intelligence-based platform aimed at enhancing biomedical research by uncovering hidden evidence and causal relationships in scientific literature. Founded in 2017, the company provides a semantic AI tool that utilizes linguistic and statistical models to validate causal claims and generate research hypotheses. This platform allows users to conduct deep searches across vast corpora of scientific articles, significantly reducing the time required to find answers to complex research questions. In addition to its core capabilities in causal analytics and hypothesis generation, Causaly offers features such as semantic search and natural language processing. Its technology is designed to amplify human cognitive abilities in biomedicine, enabling researchers to make informed decisions and accelerate their discovery processes. Headquartered in Wilmington, Delaware, Causaly also maintains offices in London and Athens.

Sylvera is a carbon data provider based in London, United Kingdom, focused on promoting effective climate action. The company has developed machine learning-based tools that monitor the performance of carbon offset projects, allowing for tracking at intervals as frequent as weekly. These tools are designed to integrate seamlessly into both internal and external reporting frameworks, enabling businesses and governments to manage reputational risks while also enhancing transparency in carbon data for their customers. By providing detailed insights into the effectiveness of carbon offsets, Sylvera supports organizations in their efforts to make informed decisions about sustainability and climate initiatives.

Scale AI, Inc. develops a data platform that specializes in providing training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers various annotation platforms, including Scale 3D Sensor Fusion for 3D sensor data, Scale Image for images, Scale Video for videos, Scale Text for text annotation, and Scale Document for intelligent document processing. These products facilitate a range of tasks such as content moderation, transcription, and data comparison across multiple sectors, including autonomous vehicles, e-commerce, conversational AI, and robotics. By enabling companies to focus on building advanced AI models rather than labeling data, Scale AI supports clients in accelerating the development of their artificial intelligence applications.

Abacus.AI, Inc. is a San Francisco-based company that specializes in cloud-based artificial intelligence services. Founded in 2019, it focuses on helping organizations design, train, and implement machine and deep learning models tailored to various business needs. The company's platform enables businesses to integrate customizable deep learning systems into their existing processes and customer experiences. Abacus.AI offers a range of solutions, including AI for IT operations, marketing and sales, fraud detection, recommendation systems, forecasting, and predictive modeling. Its autonomous AI platform is designed to support common enterprise applications, such as churn prediction and time-series forecasting, facilitating the creation of state-of-the-art, real-time AI solutions for clients.

Grid.ai, Inc. is a technology company that provides a platform for training artificial intelligence (AI) models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs). Founded in 2019 and headquartered in New York, the company offers tools such as Grid Train, which facilitates AI research by simplifying model training and iteration, and Grid View, a web application for monitoring and managing infrastructure. Additionally, it provides Tensorboard for experiment analysis. Grid.ai aims to support machine learning engineers, data scientists, and AI researchers by enabling the development of advanced AI models and end-to-end machine learning systems, known as Lightning Apps, that are multi-cloud and fault-tolerant. The company gained significant funding in October 2020, which has bolstered its mission to enhance AI capabilities for users.

Abacus.AI, Inc. is a San Francisco-based company that specializes in cloud-based artificial intelligence services. Founded in 2019, it focuses on helping organizations design, train, and implement machine and deep learning models tailored to various business needs. The company's platform enables businesses to integrate customizable deep learning systems into their existing processes and customer experiences. Abacus.AI offers a range of solutions, including AI for IT operations, marketing and sales, fraud detection, recommendation systems, forecasting, and predictive modeling. Its autonomous AI platform is designed to support common enterprise applications, such as churn prediction and time-series forecasting, facilitating the creation of state-of-the-art, real-time AI solutions for clients.

Resistant AI specializes in fraud prevention software aimed at safeguarding automated financial systems from manipulation and attacks. The company develops solutions that protect vital processes such as online credit scoring, fraud detection, and anti-money laundering systems from organized fraudsters. By focusing on the risks associated with machine learning and artificial intelligence, Resistant AI assists banks, insurance companies, and e-commerce entities in securing their digital transactions. Their technology enables these organizations to implement identity forensics, thereby enhancing the integrity of automated financial services and mitigating the threats posed by advanced fraud.

Grid.ai, Inc. is a technology company that provides a platform for training artificial intelligence (AI) models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs). Founded in 2019 and headquartered in New York, the company offers tools such as Grid Train, which facilitates AI research by simplifying model training and iteration, and Grid View, a web application for monitoring and managing infrastructure. Additionally, it provides Tensorboard for experiment analysis. Grid.ai aims to support machine learning engineers, data scientists, and AI researchers by enabling the development of advanced AI models and end-to-end machine learning systems, known as Lightning Apps, that are multi-cloud and fault-tolerant. The company gained significant funding in October 2020, which has bolstered its mission to enhance AI capabilities for users.

Scale AI, Inc. develops a data platform that specializes in providing training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers various annotation platforms, including Scale 3D Sensor Fusion for 3D sensor data, Scale Image for images, Scale Video for videos, Scale Text for text annotation, and Scale Document for intelligent document processing. These products facilitate a range of tasks such as content moderation, transcription, and data comparison across multiple sectors, including autonomous vehicles, e-commerce, conversational AI, and robotics. By enabling companies to focus on building advanced AI models rather than labeling data, Scale AI supports clients in accelerating the development of their artificial intelligence applications.

GeoPhy is a developer of an artificial intelligence-driven property analytics platform that leverages both traditional and alternative data sources to deliver instant and accurate valuations for commercial real estate. By utilizing machine learning, GeoPhy helps real estate professionals identify market opportunities and manage risks effectively. The platform provides valuable insights into commercial property values and the factors influencing them, allowing users to assess opportunities based on specific market criteria. Through its innovative approach, GeoPhy aims to enhance transparency and efficiency in the commercial real estate sector.

Scale AI, Inc. develops a data platform that specializes in providing training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers various annotation platforms, including Scale 3D Sensor Fusion for 3D sensor data, Scale Image for images, Scale Video for videos, Scale Text for text annotation, and Scale Document for intelligent document processing. These products facilitate a range of tasks such as content moderation, transcription, and data comparison across multiple sectors, including autonomous vehicles, e-commerce, conversational AI, and robotics. By enabling companies to focus on building advanced AI models rather than labeling data, Scale AI supports clients in accelerating the development of their artificial intelligence applications.

Humu, Inc. is a human resource technology company based in Mountain View, California, founded in 2017. The company specializes in developing behavioral-change software that utilizes scientific research and machine learning to enhance workplace dynamics. Humu's platform enables employees to recognize each other's contributions, measure important factors that impact employee satisfaction, and promote positive behavioral changes within teams. By applying proven methodologies, Humu aims to help individuals become better leaders, managers, and teammates, ultimately driving productivity and fostering a supportive work environment.

Behavox Ltd. specializes in compliance surveillance software tailored for the capital markets sector. Its offerings include Behavox Compliance, an employee monitoring and risk scoring system, and Behavox Voice, which processes and analyzes voice recordings with multi-lingual capabilities. The company has developed a unified enterprise platform that aggregates various data types into a single data lake, allowing for real-time querying and the application of machine learning to identify misconduct and insider threats. Behavox's innovative approach combines sophisticated engineering with insights from academic research, enabling the continuous improvement of detection algorithms and facilitating the early identification of market abuse, fraud, and other risky behaviors. Founded in 2014, Behavox is headquartered in London, with additional offices in St Petersburg, Russia, and Tokyo, Japan, and operations in Canada.

Crossing Minds is an innovative platform that specializes in delivering personalized recommendations to enhance online discovery and user engagement. Founded by experts in artificial intelligence, the platform utilizes advanced deep learning techniques and comprehensive taste analytics to understand human behavior. By employing methods such as collaborative filtering and extensive data analysis, Crossing Minds offers businesses tailored recommendations that prioritize customer privacy. The company's goal is to help clients connect with their customers more effectively and enable individuals to discover products that resonate with their interests, ultimately fostering loyalty and enhancing user experience.

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.

Niara, Inc. specializes in security analytics focused on detecting internal attacks and enhancing incident response for organizations. By leveraging advanced machine learning algorithms, its platform automates the identification of compromised users and malicious insiders, significantly reducing the time and expertise required for security investigations. The solution integrates data from various network and security sources to deliver contextually relevant insights, facilitating advanced threat hunting and incident investigations. Niara offers its security analytics solution as both an on-premise and cloud-based deployment option. Founded in 2013 and headquartered in Sunnyvale, California, Niara operates as a subsidiary of HPE Aruba and is supported by prominent investors including NEA, Index Ventures, and Venrock.

Cyngn is an industrial autonomous vehicle technology company that specializes in providing solutions for self-driving vehicles. Its primary product, DriveMod, is an autonomous driving platform designed to integrate seamlessly with a variety of commercially available sensors and hardware. This vehicle-agnostic system enables a diverse range of fleets to leverage autonomy, allowing for flexible transitions between fully autonomous, remotely controlled, and manual driving modes. Cyngn addresses significant challenges faced by industrial organizations, such as labor shortages, high safety incident costs, and increasing consumer demands for eCommerce. The company’s technology offers scalable and efficient self-driving solutions tailored to the specific needs of various sectors.

Niara, Inc. specializes in security analytics focused on detecting internal attacks and enhancing incident response for organizations. By leveraging advanced machine learning algorithms, its platform automates the identification of compromised users and malicious insiders, significantly reducing the time and expertise required for security investigations. The solution integrates data from various network and security sources to deliver contextually relevant insights, facilitating advanced threat hunting and incident investigations. Niara offers its security analytics solution as both an on-premise and cloud-based deployment option. Founded in 2013 and headquartered in Sunnyvale, California, Niara operates as a subsidiary of HPE Aruba and is supported by prominent investors including NEA, Index Ventures, and Venrock.

Evolven specializes in change and configuration management through its innovative software-as-a-service solution. The company’s platform leverages analytics and machine learning to monitor and track changes within IT environments, helping organizations identify and prioritize potential risks associated with these changes. By enabling IT professionals to detect unknown modifications, Evolven's solution enhances the stability of IT systems, minimizes the likelihood of production outages, and reduces operational costs. Additionally, it streamlines the process of investigating environmental incidents, allowing for quicker resolution and prevention of issues before they escalate.

Kaggle Inc. is a prominent platform that facilitates data prediction competitions, allowing organizations to submit their datasets for analysis by a global community of data scientists. Established in 2010 and headquartered in San Francisco, Kaggle serves a diverse range of sectors, including pharmaceuticals, financial services, energy, information technology, and retail. The platform not only hosts competitions but also provides access to datasets, models, and coding resources, enabling users to collaboratively execute and refine their data science projects. Additionally, Kaggle Prospect, one of its offerings, assists companies and government entities in transforming raw data into actionable insights. As a subsidiary of Google, Kaggle continues to foster innovation in data science, positioning itself as a vital resource for professionals seeking to address complex challenges across various industries.