Visual Layer is a developer of a visual data management platform that enables the efficient management and curation of image and video datasets. The platform utilizes a proprietary graph engine to automatically identify data quality issues, such as corrupted images and incorrect labels, while also detecting outliers. By providing suggestions for correction, Visual Layer helps clients maintain high-quality datasets, thereby enhancing data performance and accuracy. This approach allows organizations to handle visual data at scale, ensuring that their datasets are reliable and effective for various applications.
Relational Artificial Intelligence
Pendulum is an AI/ML-powered platform for companies and government organizations to detect and understand harmful narratives on social media platforms.
WhyLabs is an AI observability company focused on creating a seamless interface between humans and AI applications. It has developed a platform designed to analyze both structured and unstructured data from AI models, enabling comprehensive monitoring and analysis. The platform can process terabytes of data efficiently while continuously tracking data in real-time at various levels of detail. It monitors model accuracy, detects concept drift, and investigates model behavior across key segments. This functionality allows data scientists to identify and address potential issues proactively, ultimately saving time and preventing disruptions for businesses and their customers.
OctoML, Inc. is a company that provides a software-as-a-service (SaaS) platform designed to assist machine learning engineers in automating the optimization of their models using the open-source Apache TVM software stack. Its primary offering, the Octomizer, allows users to upload their machine learning models, which are then automatically optimized, benchmarked, and packaged for deployment across various hardware environments, including edge and cloud platforms. Founded in 2019 and headquartered in Seattle, Washington, OctoML aims to streamline the process of deploying machine learning models, making it more efficient for developers to meet their AI requirements.
Magnify operates a post-sales orchestration platform that aids software companies in enhancing their customer experience. Utilizing artificial intelligence and machine learning, the platform automates various aspects of the customer lifecycle, from onboarding to renewal, while seamlessly integrating with existing technologies. Magnify focuses on driving product adoption and growth by optimizing customer interactions through tailored sequences and timing, which include emails, training videos, and in-product engagements. Additionally, the platform identifies potential churn and opportunities for expansion, allowing companies to proactively implement appropriate actions to improve retention rates and ensure the success of customer accounts.
Spice AI makes using and training time-series AI easy for developers so it can be cost-effectively utilized in products and services that meaningfully improve the quality of our lives. Founded in January 2021, Spice AI, Inc. is a Seattle, Washington headquartered technology startup building developer focused AI. Spice AI was founded by three ex-Microsoft engineers, with over 20 years combined experience in distributed and cloud computing.
Read AI enables better meetings through shared measurement. Read AI is a provider of a real-time shared dashboard that measures engagement and sentiment for meeting attendees.
OctoML, Inc. is a company that provides a software-as-a-service (SaaS) platform designed to assist machine learning engineers in automating the optimization of their models using the open-source Apache TVM software stack. Its primary offering, the Octomizer, allows users to upload their machine learning models, which are then automatically optimized, benchmarked, and packaged for deployment across various hardware environments, including edge and cloud platforms. Founded in 2019 and headquartered in Seattle, Washington, OctoML aims to streamline the process of deploying machine learning models, making it more efficient for developers to meet their AI requirements.
Relational Artificial Intelligence
Lattice Data, Inc., founded in 2015 and based in Menlo Park, California, specializes in data analytics solutions that focus on processing unstructured data, including text and images. Originating from a Stanford research project known as DeepDive, the company leverages this framework for statistical inference to develop products aimed at addressing critical real-world challenges. As a subsidiary of Apple Inc. since May 2017, Lattice is dedicated to unlocking the value of "dark data" for various industries and government sectors.
WhyLabs is an AI observability company focused on creating a seamless interface between humans and AI applications. It has developed a platform designed to analyze both structured and unstructured data from AI models, enabling comprehensive monitoring and analysis. The platform can process terabytes of data efficiently while continuously tracking data in real-time at various levels of detail. It monitors model accuracy, detects concept drift, and investigates model behavior across key segments. This functionality allows data scientists to identify and address potential issues proactively, ultimately saving time and preventing disruptions for businesses and their customers.
WhyLabs is an AI observability company focused on creating a seamless interface between humans and AI applications. It has developed a platform designed to analyze both structured and unstructured data from AI models, enabling comprehensive monitoring and analysis. The platform can process terabytes of data efficiently while continuously tracking data in real-time at various levels of detail. It monitors model accuracy, detects concept drift, and investigates model behavior across key segments. This functionality allows data scientists to identify and address potential issues proactively, ultimately saving time and preventing disruptions for businesses and their customers.
OctoML, Inc. is a company that provides a software-as-a-service (SaaS) platform designed to assist machine learning engineers in automating the optimization of their models using the open-source Apache TVM software stack. Its primary offering, the Octomizer, allows users to upload their machine learning models, which are then automatically optimized, benchmarked, and packaged for deployment across various hardware environments, including edge and cloud platforms. Founded in 2019 and headquartered in Seattle, Washington, OctoML aims to streamline the process of deploying machine learning models, making it more efficient for developers to meet their AI requirements.
KITT.AI offers a conversational understanding as a service that focuses on multi-turn dialog.
OctoML, Inc. is a company that provides a software-as-a-service (SaaS) platform designed to assist machine learning engineers in automating the optimization of their models using the open-source Apache TVM software stack. Its primary offering, the Octomizer, allows users to upload their machine learning models, which are then automatically optimized, benchmarked, and packaged for deployment across various hardware environments, including edge and cloud platforms. Founded in 2019 and headquartered in Seattle, Washington, OctoML aims to streamline the process of deploying machine learning models, making it more efficient for developers to meet their AI requirements.
Suplari is an innovative startup, lead by veteran entrepreneurs focused on leveraging machine learning to help enterprises change the way they manage their suppliers and costs. Suplari aggregates data from disconnected internal systems including contracts, invoices, and usage data into a common datastore and then delivers applications on top of that data that provides customers with a holistic view of their suppliers.
Algorithmia, Inc. is a Seattle-based company that provides a platform for deploying and managing machine learning models, focusing on automating the MLOps process for organizations. Founded in 2013, Algorithmia enables developers and data scientists to explore, create, and share algorithms as web services, facilitating the integration of machine learning into various applications. The platform supports popular frameworks such as TensorFlow, PyTorch, Scikit-learn, and MXNet, and can handle a high volume of concurrent algorithm requests. Additionally, Algorithmia hosts a public marketplace for algorithms, offering enterprise customers a reliable solution for their mission-critical workloads.
Clusterone is a cloud-based platform developed by Good AI Lab, Inc., designed to aggregate computational resources and optimize machine learning processes. Founded in 2016 and located in Seattle, Washington, Clusterone offers a distributed machine learning platform specifically tailored for the TensorFlow framework, facilitating the training of machine learning models. The platform operates as a serverless AI operating system, enabling data scientists and businesses to automate infrastructure management tasks, allowing IT teams to concentrate on developing AI models rather than handling basic operational duties. By supporting workloads of varying scales and complexities, Clusterone simplifies the deployment of AI systems and enhances machine learning workflows, making it a valuable tool for organizations looking to streamline their AI initiatives.
Xnor.ai, founded in 2016 and based in Seattle, Washington, specializes in developing machine learning software models that enable advanced artificial intelligence capabilities on edge devices. Its platform allows companies to execute complex deep learning algorithms locally on various devices, including mobile phones, drones, and wearables. This innovative approach enhances data privacy, reduces reliance on internet connectivity, and lowers power consumption, all while maintaining high performance and accuracy. Xnor.ai's technology is applicable across multiple sectors, including aerospace, automotive, retail, photography, and consumer electronics, facilitating sophisticated analytics and functionalities such as machine vision and speech recognition directly on resource-constrained devices. In early 2020, Xnor.ai became a subsidiary of Apple Inc.
Suplari is an innovative startup, lead by veteran entrepreneurs focused on leveraging machine learning to help enterprises change the way they manage their suppliers and costs. Suplari aggregates data from disconnected internal systems including contracts, invoices, and usage data into a common datastore and then delivers applications on top of that data that provides customers with a holistic view of their suppliers.
Algorithmia, Inc. is a Seattle-based company that provides a platform for deploying and managing machine learning models, focusing on automating the MLOps process for organizations. Founded in 2013, Algorithmia enables developers and data scientists to explore, create, and share algorithms as web services, facilitating the integration of machine learning into various applications. The platform supports popular frameworks such as TensorFlow, PyTorch, Scikit-learn, and MXNet, and can handle a high volume of concurrent algorithm requests. Additionally, Algorithmia hosts a public marketplace for algorithms, offering enterprise customers a reliable solution for their mission-critical workloads.
Suplari is an innovative startup, lead by veteran entrepreneurs focused on leveraging machine learning to help enterprises change the way they manage their suppliers and costs. Suplari aggregates data from disconnected internal systems including contracts, invoices, and usage data into a common datastore and then delivers applications on top of that data that provides customers with a holistic view of their suppliers.
Xnor.ai, founded in 2016 and based in Seattle, Washington, specializes in developing machine learning software models that enable advanced artificial intelligence capabilities on edge devices. Its platform allows companies to execute complex deep learning algorithms locally on various devices, including mobile phones, drones, and wearables. This innovative approach enhances data privacy, reduces reliance on internet connectivity, and lowers power consumption, all while maintaining high performance and accuracy. Xnor.ai's technology is applicable across multiple sectors, including aerospace, automotive, retail, photography, and consumer electronics, facilitating sophisticated analytics and functionalities such as machine vision and speech recognition directly on resource-constrained devices. In early 2020, Xnor.ai became a subsidiary of Apple Inc.
Mighty AI delivers training data to companies that build computer vision models for autonomous vehicles. Its platform combines guaranteed accuracy with scale and expertise, thanks to its full stack of annotation software, consulting and managed services, proprietary machine learning, and global community of pre-qualified annotators.
Founded in 2014, Mighty AI is headquartered in Seattle, Washington.
Mighty AI delivers training data to companies that build computer vision models for autonomous vehicles. Its platform combines guaranteed accuracy with scale and expertise, thanks to its full stack of annotation software, consulting and managed services, proprietary machine learning, and global community of pre-qualified annotators.
Founded in 2014, Mighty AI is headquartered in Seattle, Washington.
Turi is a machine learning platform that creates big data analytics products for its users. This open source project was initially intended for applying large scale machine learning to graph analysis. The functionality of its product has since been greatly expanded to include tables, text, as well as images and is now in broad use to make recommendations, detect fraud, conduct customer sentiment analysis, and generally build predictive apps at many notable e-tailers, service providers, and Fortune 5000 firms, including Zillow, ExxonMobil, StumbleUpon, Adobe, Pandora, and Bosch. Turi was launched as Dato in 2013 by Danny Bickson, Haijie Gu, Yucheng Low, Joseph Gonzalez, and Carlos Guestrin. It is based in Seattle, W.A.
Mighty AI delivers training data to companies that build computer vision models for autonomous vehicles. Its platform combines guaranteed accuracy with scale and expertise, thanks to its full stack of annotation software, consulting and managed services, proprietary machine learning, and global community of pre-qualified annotators.
Founded in 2014, Mighty AI is headquartered in Seattle, Washington.
Algorithmia, Inc. is a Seattle-based company that provides a platform for deploying and managing machine learning models, focusing on automating the MLOps process for organizations. Founded in 2013, Algorithmia enables developers and data scientists to explore, create, and share algorithms as web services, facilitating the integration of machine learning into various applications. The platform supports popular frameworks such as TensorFlow, PyTorch, Scikit-learn, and MXNet, and can handle a high volume of concurrent algorithm requests. Additionally, Algorithmia hosts a public marketplace for algorithms, offering enterprise customers a reliable solution for their mission-critical workloads.
Turi is a machine learning platform that creates big data analytics products for its users. This open source project was initially intended for applying large scale machine learning to graph analysis. The functionality of its product has since been greatly expanded to include tables, text, as well as images and is now in broad use to make recommendations, detect fraud, conduct customer sentiment analysis, and generally build predictive apps at many notable e-tailers, service providers, and Fortune 5000 firms, including Zillow, ExxonMobil, StumbleUpon, Adobe, Pandora, and Bosch. Turi was launched as Dato in 2013 by Danny Bickson, Haijie Gu, Yucheng Low, Joseph Gonzalez, and Carlos Guestrin. It is based in Seattle, W.A.