Madrona

Vilya is a biotechnology company focused on developing innovative drugs that specifically target the biology of diseases. The company employs a unique platform that explores uncharted chemical space to design new molecular structures, which are intermediate in size between small molecules and antibodies. These structures possess essential drug-like properties, such as the capacity to traverse biological membranes and disrupt protein-protein interactions. By leveraging advanced computing techniques, Vilya aims to make traditional high throughput screening methods obsolete, ultimately working towards the creation of new medicines that can effectively treat a range of diseases.

Numbers Station is a software development platform that focuses on enhancing artificial intelligence workflows. It specializes in creating AI-powered solutions aimed at automating data-intensive processes, particularly for enterprise applications. The platform's advanced models are designed to deliver high-quality performance on various data tasks, facilitating the generation of valuable insights. This capability allows data professionals to make informed business decisions and maximize the value derived from their data assets.

XetData is a startup in its early stages that specializes in collaborative data control for unstructured data management. XetData is headquartered in Seattle, Washington and was founded in 2021.

Clozd provides services and technology for win-loss analysis. Their mission is to help clients uncover reasons why they win and lose so they can hone product strategy, refine messaging, foster strategic alignment, and enable sales. Clozd was founded in 2017 and is based in Lehi, Utah.

RelationalAI is focused on creating an innovative relational knowledge graph system aimed at addressing complex business challenges. The company emphasizes the importance of rich interdependencies and structures found in businesses, which enhance the modern data stack. This approach facilitates the development of intelligent data applications, allowing entrepreneurs to build applications with semantic layers on a solid data foundation. By doing so, RelationalAI aims to simplify the process of codifying and leveraging knowledge, making it more accessible for users.

Statsig is a digital product testing platform that empowers businesses to make informed decisions through robust product experimentation. Unlike traditional A/B testing tools, Statsig tracks the impact of every feature release, allowing teams to quantify the effects of their efforts comprehensively. Its Product Observability feature enables teams to identify significant metric drops shortly after launching new features, facilitating quick divestment from underperforming initiatives and encouraging investment in successful ones. By adopting Statsig, modern product teams have experienced increased product velocity and enhanced decision-making capabilities. The company’s founding team, which includes former Facebook employees, aims to revamp the data tools infrastructure that supported Facebook's growth over the past decade.

WhyLabs, Inc. provides an AI observability platform that allows organizations to effectively monitor and analyze both structured and unstructured data from their AI models. The platform is designed to handle large volumes of data, processing terabytes without compromising storage efficiency. It continuously tracks data in real-time, monitoring model accuracy, concept drift, and overall model behavior. This functionality enables teams to identify and address potential issues, such as bias and performance decay, before they impact business operations. WhyLabs' tools are utilized by a range of clients, from Fortune 100 companies to AI-centric startups, significantly reducing manual operations and accelerating the resolution of AI-related incidents. The company was incubated at the Allen Institute for Artificial Intelligence and has received funding from notable investors including Andrew Ng’s AI Fund and Bezos Expeditions.

Statsig is a digital product testing platform that empowers businesses to make informed decisions through robust product experimentation. Unlike traditional A/B testing tools, Statsig tracks the impact of every feature release, allowing teams to quantify the effects of their efforts comprehensively. Its Product Observability feature enables teams to identify significant metric drops shortly after launching new features, facilitating quick divestment from underperforming initiatives and encouraging investment in successful ones. By adopting Statsig, modern product teams have experienced increased product velocity and enhanced decision-making capabilities. The company’s founding team, which includes former Facebook employees, aims to revamp the data tools infrastructure that supported Facebook's growth over the past decade.

Amperity is a developer of a customer data management platform designed to enhance customer initiatives through actionable data. The platform aggregates raw data from various sources, including e-commerce, email, and loyalty systems, to create a comprehensive and up-to-date view of customers. By standardizing and augmenting this information with custom attributes such as lifetime value, Amperity enables companies to connect with, identify, and understand their customers more effectively. This capability improves marketing performance, accelerates the generation of accurate customer insights, and facilitates the delivery of exceptional customer experiences. Amperity aims to empower both technical and business teams by streamlining data management processes, ultimately fostering long-term customer loyalty and driving growth for many well-known brands.

Lattice was born out of the Stanford research project DeepDive, a framework for statistical inference. They are the researchers and creators behind DeepDive, and now they build on top of DeepDive to create products for industry and government. Their mission is to unlock the value in dark data for critical real-world problems.

Pixel8earth is focused on creating a crowdsourced, continuously updated 3D map of the world that serves both machines and humans. The company utilizes computer vision and geomatics to transform ordinary videos and photos into georeferenced 3D point clouds and meshes. This innovative approach allows for the integration of various high-volume data sources, enabling the generation and ongoing refinement of global 3D maps. The maps achieve an accuracy of 25-50 cm RMSE relative to a survey baseline, while the Visual Positioning Systems (VPS) derived from these maps attain approximately 2-meter location accuracy and 6.25-degree rotational accuracy. Through its technology, Pixel8earth aims to provide a self-improving ground truth for diverse applications.

Amperity is a developer of a customer data management platform designed to enhance customer initiatives through actionable data. The platform aggregates raw data from various sources, including e-commerce, email, and loyalty systems, to create a comprehensive and up-to-date view of customers. By standardizing and augmenting this information with custom attributes such as lifetime value, Amperity enables companies to connect with, identify, and understand their customers more effectively. This capability improves marketing performance, accelerates the generation of accurate customer insights, and facilitates the delivery of exceptional customer experiences. Amperity aims to empower both technical and business teams by streamlining data management processes, ultimately fostering long-term customer loyalty and driving growth for many well-known brands.

Algorithmia, Inc. provides a platform that facilitates the deployment and management of machine learning models. Founded in 2013 and headquartered in Seattle, Washington, the company enables algorithm developers to create, explore, and share algorithms as web services. Its solution automates MLOps, allowing data scientists and developers to efficiently deploy models into production through a scalable API that can handle various algorithm requests. Algorithmia supports popular frameworks such as TensorFlow, PyTorch, Scikit-learn, and MXNet, and also hosts a public marketplace for algorithms. The company was acquired by DataRobot in 2021, enhancing its capabilities in serving enterprise customers with mission-critical workloads.

Datacoral provides a secure, end-to-end data infrastructure as a service, enabling data scientists to build data products at a fraction of the cost and time. Our product offers a specialized building block to collect data from any source, organize that data in any query engine, and use that data for gathering insights, privately within your cloud VPC. Check us out at the AWS Marketplace.

Snowflake Inc. is a cloud-based data platform that offers a comprehensive solution for data warehousing, data lakes, and data sharing. Founded in 2012 and headquartered in San Mateo, California, the company provides organizations of various sizes and industries with the tools to consolidate data into a single source of truth, enabling meaningful business insights and the development of data-driven applications. Snowflake's platform is designed to facilitate instant, secure access to a wide array of data, supporting multiple data workloads and making it suitable for modern data applications. The company's innovative approach allows enterprises to quickly buy and ingest data, significantly reducing the time required compared to traditional methods. With a customer base that includes over 3,000 organizations, nearly 30% of which are part of the Fortune 500, Snowflake is recognized for its cost-effective solutions that leverage the power of cloud technology.

Amperity is a developer of a customer data management platform designed to enhance customer initiatives through actionable data. The platform aggregates raw data from various sources, including e-commerce, email, and loyalty systems, to create a comprehensive and up-to-date view of customers. By standardizing and augmenting this information with custom attributes such as lifetime value, Amperity enables companies to connect with, identify, and understand their customers more effectively. This capability improves marketing performance, accelerates the generation of accurate customer insights, and facilitates the delivery of exceptional customer experiences. Amperity aims to empower both technical and business teams by streamlining data management processes, ultimately fostering long-term customer loyalty and driving growth for many well-known brands.

Snowflake Inc. is a cloud-based data platform that offers a comprehensive solution for data warehousing, data lakes, and data sharing. Founded in 2012 and headquartered in San Mateo, California, the company provides organizations of various sizes and industries with the tools to consolidate data into a single source of truth, enabling meaningful business insights and the development of data-driven applications. Snowflake's platform is designed to facilitate instant, secure access to a wide array of data, supporting multiple data workloads and making it suitable for modern data applications. The company's innovative approach allows enterprises to quickly buy and ingest data, significantly reducing the time required compared to traditional methods. With a customer base that includes over 3,000 organizations, nearly 30% of which are part of the Fortune 500, Snowflake is recognized for its cost-effective solutions that leverage the power of cloud technology.

Algorithmia, Inc. provides a platform that facilitates the deployment and management of machine learning models. Founded in 2013 and headquartered in Seattle, Washington, the company enables algorithm developers to create, explore, and share algorithms as web services. Its solution automates MLOps, allowing data scientists and developers to efficiently deploy models into production through a scalable API that can handle various algorithm requests. Algorithmia supports popular frameworks such as TensorFlow, PyTorch, Scikit-learn, and MXNet, and also hosts a public marketplace for algorithms. The company was acquired by DataRobot in 2021, enhancing its capabilities in serving enterprise customers with mission-critical workloads.

Amperity is a developer of a customer data management platform designed to enhance customer initiatives through actionable data. The platform aggregates raw data from various sources, including e-commerce, email, and loyalty systems, to create a comprehensive and up-to-date view of customers. By standardizing and augmenting this information with custom attributes such as lifetime value, Amperity enables companies to connect with, identify, and understand their customers more effectively. This capability improves marketing performance, accelerates the generation of accurate customer insights, and facilitates the delivery of exceptional customer experiences. Amperity aims to empower both technical and business teams by streamlining data management processes, ultimately fostering long-term customer loyalty and driving growth for many well-known brands.

Turi is a machine learning platform that specializes in developing big data analytics products. Initially conceived as an open-source project aimed at large-scale machine learning for graph analysis, Turi has significantly broadened its capabilities to encompass tables, text, and images. Its technology is widely utilized for various applications, including recommendation systems, fraud detection, customer sentiment analysis, and the development of predictive applications. Turi serves a diverse clientele, including notable e-tailers and service providers, as well as Fortune 5000 companies such as Zillow, ExxonMobil, Adobe, Pandora, and Bosch. Founded in 2013 in Seattle, Washington, by Danny Bickson, Haijie Gu, Yucheng Low, Joseph Gonzalez, and Carlos Guestrin, Turi continues to be at the forefront of machine learning innovation.

Algorithmia, Inc. provides a platform that facilitates the deployment and management of machine learning models. Founded in 2013 and headquartered in Seattle, Washington, the company enables algorithm developers to create, explore, and share algorithms as web services. Its solution automates MLOps, allowing data scientists and developers to efficiently deploy models into production through a scalable API that can handle various algorithm requests. Algorithmia supports popular frameworks such as TensorFlow, PyTorch, Scikit-learn, and MXNet, and also hosts a public marketplace for algorithms. The company was acquired by DataRobot in 2021, enhancing its capabilities in serving enterprise customers with mission-critical workloads.

Turi is a machine learning platform that specializes in developing big data analytics products. Initially conceived as an open-source project aimed at large-scale machine learning for graph analysis, Turi has significantly broadened its capabilities to encompass tables, text, and images. Its technology is widely utilized for various applications, including recommendation systems, fraud detection, customer sentiment analysis, and the development of predictive applications. Turi serves a diverse clientele, including notable e-tailers and service providers, as well as Fortune 5000 companies such as Zillow, ExxonMobil, Adobe, Pandora, and Bosch. Founded in 2013 in Seattle, Washington, by Danny Bickson, Haijie Gu, Yucheng Low, Joseph Gonzalez, and Carlos Guestrin, Turi continues to be at the forefront of machine learning innovation.

Decide is a Seattle-based company that offers an online shopping and price-information service, leveraging data science to assist consumers in finding highly rated products and optimal times to purchase. By analyzing billions of data points from the web, Decide provides price predictions with an accuracy of 80 percent, which has resulted in over $200 million in savings for users. The company was co-founded by Prof. Oren Etzioni, a prominent figure in Internet search known for creating Farecast and Netbot. Backed by notable investors from major tech companies, Decide has raised $17 million in venture capital from firms such as Vulcan Capital and Maveron, along with contributions from angel investors.

Decide is a Seattle-based company that offers an online shopping and price-information service, leveraging data science to assist consumers in finding highly rated products and optimal times to purchase. By analyzing billions of data points from the web, Decide provides price predictions with an accuracy of 80 percent, which has resulted in over $200 million in savings for users. The company was co-founded by Prof. Oren Etzioni, a prominent figure in Internet search known for creating Farecast and Netbot. Backed by notable investors from major tech companies, Decide has raised $17 million in venture capital from firms such as Vulcan Capital and Maveron, along with contributions from angel investors.

Decide is a Seattle-based company that offers an online shopping and price-information service, leveraging data science to assist consumers in finding highly rated products and optimal times to purchase. By analyzing billions of data points from the web, Decide provides price predictions with an accuracy of 80 percent, which has resulted in over $200 million in savings for users. The company was co-founded by Prof. Oren Etzioni, a prominent figure in Internet search known for creating Farecast and Netbot. Backed by notable investors from major tech companies, Decide has raised $17 million in venture capital from firms such as Vulcan Capital and Maveron, along with contributions from angel investors.

Farecast is a fare-prediction startup founded in 2003 that helps travelers decide whether to purchase airline tickets or wait for potentially lower fares. The company utilizes analysis of 175 billion points of historical airfare data to provide intelligent predictions, claiming a success rate of 70-75% in forecasting price trends up to a week in advance. Farecast distinguishes itself from competitors by being the only service that offers these predictive insights. Additionally, the platform has expanded its offerings to include hotel deals, displaying results from various travel search sites on a map, which highlights pricing information. This allows users to quickly identify overpriced hotels, marked in blue, and attractively priced options, marked in red, ultimately helping travelers save money on their travel expenses.

Bocada LLC specializes in data protection management software, providing solutions for enterprises and managed service providers globally. Founded in 1999 and headquartered in Kirkland, Washington, the company offers a range of products designed to enhance backup reporting automation, compliance, and storage oversight. Its primary offerings include Bocada Enterprise, which organizes and presents data from various backup applications, and Bocada Prism, a comprehensive data protection service management tool. The company also delivers solutions in areas such as backup as a service, operations monitoring, and automated reporting for service level agreements and compliance. Bocada partners with system integrators, solution providers, and independent consultants to serve diverse sectors, including banking, healthcare, and telecommunications, ensuring that clients can effectively manage and secure their data protection environments.

Farecast is a fare-prediction startup founded in 2003 that helps travelers decide whether to purchase airline tickets or wait for potentially lower fares. The company utilizes analysis of 175 billion points of historical airfare data to provide intelligent predictions, claiming a success rate of 70-75% in forecasting price trends up to a week in advance. Farecast distinguishes itself from competitors by being the only service that offers these predictive insights. Additionally, the platform has expanded its offerings to include hotel deals, displaying results from various travel search sites on a map, which highlights pricing information. This allows users to quickly identify overpriced hotels, marked in blue, and attractively priced options, marked in red, ultimately helping travelers save money on their travel expenses.

Bocada LLC specializes in data protection management software, providing solutions for enterprises and managed service providers globally. Founded in 1999 and headquartered in Kirkland, Washington, the company offers a range of products designed to enhance backup reporting automation, compliance, and storage oversight. Its primary offerings include Bocada Enterprise, which organizes and presents data from various backup applications, and Bocada Prism, a comprehensive data protection service management tool. The company also delivers solutions in areas such as backup as a service, operations monitoring, and automated reporting for service level agreements and compliance. Bocada partners with system integrators, solution providers, and independent consultants to serve diverse sectors, including banking, healthcare, and telecommunications, ensuring that clients can effectively manage and secure their data protection environments.

Farecast is a fare-prediction startup founded in 2003 that helps travelers decide whether to purchase airline tickets or wait for potentially lower fares. The company utilizes analysis of 175 billion points of historical airfare data to provide intelligent predictions, claiming a success rate of 70-75% in forecasting price trends up to a week in advance. Farecast distinguishes itself from competitors by being the only service that offers these predictive insights. Additionally, the platform has expanded its offerings to include hotel deals, displaying results from various travel search sites on a map, which highlights pricing information. This allows users to quickly identify overpriced hotels, marked in blue, and attractively priced options, marked in red, ultimately helping travelers save money on their travel expenses.

RuleSpace, Inc., based in Portland, Oregon, is a privately held company specializing in automated web content recognition technology and services. The company enables internet applications and network appliances to instantly identify and categorize web content, enhancing the delivery of relevant information to users. By utilizing RuleSpace's technology, network access vendors, online marketers, and portals can provide more meaningful and contextually appropriate content as users navigate the web. This approach stands in contrast to traditional human review methods, as RuleSpace's solutions efficiently adapt to the rapid growth of web content, ensuring that information remains current and relevant.

Statsig is a digital product testing platform that empowers businesses to make informed decisions through robust product experimentation. Unlike traditional A/B testing tools, Statsig tracks the impact of every feature release, allowing teams to quantify the effects of their efforts comprehensively. Its Product Observability feature enables teams to identify significant metric drops shortly after launching new features, facilitating quick divestment from underperforming initiatives and encouraging investment in successful ones. By adopting Statsig, modern product teams have experienced increased product velocity and enhanced decision-making capabilities. The company’s founding team, which includes former Facebook employees, aims to revamp the data tools infrastructure that supported Facebook's growth over the past decade.