Madrona

Anagram offers AI-driven phishing simulations and interactive, personalized training that engages and educates staff members, going beyond conventional techniques like antiquated movies and quizzes to give a human-driven security platform that produces tangible results.

Terray Therapeutics is a biotechnology company based in Pasadena, California, founded in 2018. The company specializes in developing innovative treatments for complex human diseases by integrating experimentation and computation to enhance small molecule drug discovery. Terray's unique platform employs ultra-dense microarray technology alongside artificial intelligence and synthetic chemistry to generate extensive and precise chemical datasets. This allows for a rapid design-make-test-analyze cycle, facilitating efficient exploration of chemical space and mapping biochemical interactions between small molecules and disease causes. By utilizing automation and machine learning, Terray addresses significant therapeutic challenges, ultimately guiding the next cycles of drug design and experimentation.

Shaped is a New York-based company established in 2021 that specializes in deep-learning software aimed at enhancing user engagement through personalized recommendations and search capabilities. Utilizing artificial intelligence and machine learning, Shaped's platform enables businesses to integrate customized feeds, notifications, and recommendations into their applications and websites. This technology allows companies to better understand user preferences and behaviors, ultimately driving increased engagement, conversion rates, and revenue. By providing a configurable system that adapts in real time, Shaped helps organizations effectively connect with their audiences and optimize their digital content.

TerraClear, Inc. is an agricultural technology company founded in 2017 and based in Bellevue, Washington. The company specializes in automating crop production and controlling farm costs through innovative solutions. TerraClear focuses on improving farmers' productivity by developing an automated rock-picking system that incorporates smart sensing, machine learning, aerial sensing, machine vision, and advanced robotics. This technology enables farmers to streamline the labor-intensive task of rock removal, allowing them to concentrate on higher-value production and management activities.

Unstructured is a developer of an open-source data transformation platform that simplifies the process of converting raw data from various sources, such as PDFs and Microsoft Office documents, into formats suitable for retrieval-augmented generation (RAG) applications. The platform supports over 25 file types and offers integration capabilities with third-party services like SharePoint and S3. By utilizing open-source libraries and application programming interfaces, Unstructured allows clients to create custom preprocessing pipelines tailored for machine learning tasks. This capability enhances the accessibility of human-generated information for large language models (LLMs) and facilitates seamless data extraction and integration into AI workflows, ultimately enabling organizations to maximize the value of their documents.

MotherDuck specializes in data infrastructure and analytics, providing a serverless platform designed to handle both small and large datasets. By integrating the performance of DuckDB with cloud capabilities, the company offers a user-friendly solution that facilitates collaborative data analysis. Its platform employs an embedded database to support hybrid execution, allowing users to analyze data locally and remotely. This enables businesses to effectively prototype and optimize their data strategies, enhancing their ability to derive insights and maximize profits in a streamlined environment.

Unstructured is a developer of an open-source data transformation platform that simplifies the process of converting raw data from various sources, such as PDFs and Microsoft Office documents, into formats suitable for retrieval-augmented generation (RAG) applications. The platform supports over 25 file types and offers integration capabilities with third-party services like SharePoint and S3. By utilizing open-source libraries and application programming interfaces, Unstructured allows clients to create custom preprocessing pipelines tailored for machine learning tasks. This capability enhances the accessibility of human-generated information for large language models (LLMs) and facilitates seamless data extraction and integration into AI workflows, ultimately enabling organizations to maximize the value of their documents.

Groundlight is a technology company that simplifies the implementation of computer vision and machine learning for developers. By providing straightforward English language instructions and a minimal amount of code, Groundlight enables users to programmatically interpret photos. The company's innovative escalation technology enhances the accuracy of results by forwarding low-confidence outcomes to more advanced machine learning systems and human experts. This approach eliminates the need for extensive data gathering and training, allowing users to quickly develop functional models within minutes. Groundlight's solutions aim to improve the way machines understand and interact with the visual world.

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.

XetHub is a collaborative storage platform focused on data management and version control for large-scale repositories. It enables users to build and deploy Generative AI applications while offering features that enhance efficiency, such as data deduplication and incremental difference tracking. The platform allows users to maintain their models, embeddings, data, prompts, and code in a unified system, facilitating GitHub-style collaboration workflows. By providing instant access to files through direct repository mounting, XetHub streamlines the development process for developers and practitioners, ensuring compliance and improving the overall experience of managing machine learning projects.

Deepgram, Inc. develops artificial intelligence-based automatic speech recognition solutions, offering a platform that enables enterprises to label, train, and deploy speech recognition models. This platform allows users to convert audio data into text, facilitating the extraction of insights and automation of actions. Deepgram also provides APIs for speech-to-text, text-to-speech, and language understanding, making it suitable for a variety of applications, including medical transcription and autonomous agents. The technology supports keyword searches in transcripts by both sound and text, enhancing the usability of audio and video files for transcribing calls, meetings, and voicemails. Founded in 2015 and headquartered in San Francisco, California, Deepgram serves individual developers and Fortune 500 companies, focusing on delivering scalable and effective voice AI experiences.

MotherDuck specializes in data infrastructure and analytics, providing a serverless platform designed to handle both small and large datasets. By integrating the performance of DuckDB with cloud capabilities, the company offers a user-friendly solution that facilitates collaborative data analysis. Its platform employs an embedded database to support hybrid execution, allowing users to analyze data locally and remotely. This enables businesses to effectively prototype and optimize their data strategies, enhancing their ability to derive insights and maximize profits in a streamlined environment.

MotherDuck specializes in data infrastructure and analytics, providing a serverless platform designed to handle both small and large datasets. By integrating the performance of DuckDB with cloud capabilities, the company offers a user-friendly solution that facilitates collaborative data analysis. Its platform employs an embedded database to support hybrid execution, allowing users to analyze data locally and remotely. This enables businesses to effectively prototype and optimize their data strategies, enhancing their ability to derive insights and maximize profits in a streamlined environment.

Spice AI is a technology startup based in Seattle, Washington, focused on simplifying access to artificial intelligence and machine learning for developers. Founded in June 2021 by former engineers from Microsoft and GitHub, the company aims to streamline the development of intelligent applications, making the process as straightforward as creating a modern web page. Spice AI combines an open-source decision engine with machine learning-ready data to empower developers in building next-generation AI-driven applications. By enhancing the accessibility of AI technologies, Spice AI seeks to improve quality of life through innovative solutions.

Yoodli is an AI-powered platform designed to enhance communication skills through real-time feedback. By allowing users to practice their public speaking in a supportive environment, Yoodli records video presentations and analyzes them to identify areas for improvement. The platform offers insights on clarity of speech, word choice, eye contact, and gestures, enabling individuals and organizations to refine their communication abilities effectively. This approach eliminates the stress of performing in front of an audience, fostering a more comfortable learning experience.

Ozette Technologies focuses on digitizing biological data through machine learning to provide comprehensive insights into the human immune system. By leveraging a single-cell immune monitoring platform, the company enhances the discovery and annotation of immune cells, facilitating a deeper understanding of immune responses in both health and disease. Its AI-driven computational analysis technology supports scientists and healthcare providers in developing novel therapies and diagnostics, ultimately aiming to improve patient outcomes. Through its innovative approach, Ozette accelerates the advancement of therapeutic solutions by streamlining the analysis of immune data.

Uplevel Inc. is a Seattle-based company founded in 2018 that specializes in engineering intelligence software. Its platform utilizes machine learning and organizational science to enhance productivity within engineering teams by identifying bottlenecks that impede product velocity. Uplevel transforms unstructured data from various software development tools into actionable metrics, allowing enterprises to effectively track software development progress, allocate resources, and fulfill commitments. By integrating insights and coaching into daily workflows, Uplevel enables managers and teams to monitor individual performance metrics and identify execution risks, fostering improved efficiency and behavior change in engineering practices.

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.

CommerceIQ is a company that specializes in e-commerce channel optimization, leveraging machine learning, analytics, and automation to enhance performance across the supply chain, marketing, and sales operations. Its technology is designed to help consumer brands improve their e-commerce effectiveness, enabling them to capture market share and drive profitable growth. Some of the notable brands utilizing CommerceIQ's platform include Avery Products, Georgia-Pacific, and Spectrum Brands, alongside major players in the Fast-Moving Consumer Goods sector. The platform facilitates sales management and retail media management while automating market share recovery and minimizing out-of-stock situations. By providing real-time data-driven insights and collaboration capabilities, CommerceIQ has enabled its clients to achieve significant results, including a notable increase in incremental sales, improved profitability, and reduced out-of-stock rates on major retail sites.

Terray Therapeutics is a biotechnology company based in Pasadena, California, founded in 2018. The company specializes in developing innovative treatments for complex human diseases by integrating experimentation and computation to enhance small molecule drug discovery. Terray's unique platform employs ultra-dense microarray technology alongside artificial intelligence and synthetic chemistry to generate extensive and precise chemical datasets. This allows for a rapid design-make-test-analyze cycle, facilitating efficient exploration of chemical space and mapping biochemical interactions between small molecules and disease causes. By utilizing automation and machine learning, Terray addresses significant therapeutic challenges, ultimately guiding the next cycles of drug design and experimentation.

SeekOut is a recruitment management platform that utilizes advanced AI and machine-learning technologies to help talent acquisition teams identify and engage hard-to-find and diverse candidates. The platform offers unique sourcing capabilities, including access to GitHub profiles, which allows recruiters to discover untapped deep tech talent. It also features insights from over 80 million profiles in engineering and life sciences, based on patents and research publications, helping organizations identify innovation leaders. SeekOut facilitates one-click access to millions of diverse candidates, enabling recruiters to enhance their diversity initiatives. With a best-in-class AI search across 500 million profiles and industry-leading contact information, the platform increases response rates through automated messaging campaigns. Additionally, SeekOut provides custom search engines for various social networks, offering a comprehensive view of available talent while reducing the need for multiple recruitment tools and improving return on investment.

Pendulum Intelligence is an AI and machine learning-driven platform that assists companies and government organizations in identifying and understanding harmful narratives on social media and other online content. The platform offers a range of services, including a narrative engine, community engine, intelligence explorer, and monitoring system. These tools enable clients to effectively manage their online presence while mitigating cyber threats and risks associated with social media. By leveraging advanced analytics, Pendulum provides insights that help organizations navigate the complexities of digital communication and protect their reputations.

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.

OctoAI is an AI infrastructure platform that assists developers in efficiently running, tuning, and scaling generative AI models. By providing a user-friendly interface with pre-built templates for popular open-source models like Stable Diffusion and LLaMA, OctoAI enables seamless deployment and fine-tuning of models. The platform emphasizes flexibility, allowing developers to utilize both off-the-shelf and custom models while ensuring cost-effective performance through model acceleration. Additionally, OctoAI offers automated technology that helps engineering teams deploy machine learning models across various hardware, cloud providers, and edge devices quickly. This managed service leverages machine learning to automate code generation and optimization, ensuring that models operate at peak efficiency and that deployments remain secure in multi-cloud environments. Founded in 2019 and based in Seattle, Washington, OctoAI aims to enhance the capabilities of machine learning engineers and organizations.

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 is a technology startup based in Seattle, Washington, focused on simplifying access to artificial intelligence and machine learning for developers. Founded in June 2021 by former engineers from Microsoft and GitHub, the company aims to streamline the development of intelligent applications, making the process as straightforward as creating a modern web page. Spice AI combines an open-source decision engine with machine learning-ready data to empower developers in building next-generation AI-driven applications. By enhancing the accessibility of AI technologies, Spice AI seeks to improve quality of life through innovative solutions.

Yoodli is an AI-powered platform designed to enhance communication skills through real-time feedback. By allowing users to practice their public speaking in a supportive environment, Yoodli records video presentations and analyzes them to identify areas for improvement. The platform offers insights on clarity of speech, word choice, eye contact, and gestures, enabling individuals and organizations to refine their communication abilities effectively. This approach eliminates the stress of performing in front of an audience, fostering a more comfortable learning experience.

Envisagenics, Inc. is a biotechnology company founded in 2013 and headquartered in Huntington, New York. It specializes in the development of a predictive analytics platform aimed at accelerating the discovery of RNA therapeutics. The company leverages advanced artificial intelligence and machine learning algorithms to analyze transcriptomic data, helping researchers identify and validate potential drug targets. Envisagenics' flagship technology, SpliceCore, is a cloud-based platform that utilizes RNA splicing analytics to predict drug targets and biomarkers, addressing the complexities of biomedical data. Given that over 30 million people in the U.S. suffer from genetic diseases or cancers related to RNA splicing errors, the company's mission is to streamline the development of innovative therapeutic solutions. By providing an in-silico RNA therapeutics discovery platform, Envisagenics enhances the efficiency of drug development processes, reducing time, cost, and risk associated with bringing new therapies to market through partnerships with biopharmaceutical companies.

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.

Modulus Therapeutics is a company focused on developing immune cell therapies specifically aimed at treating solid tumors. By integrating genetic engineering with artificial intelligence and machine learning, Modulus Therapeutics creates optimized cell designs that enhance the efficacy of treatments for cancer and other serious diseases. This innovative approach allows for tailored therapies that improve patient outcomes in the fight against challenging medical conditions.

Zeitworks Technologies, Inc., established in 2020 and headquartered in Seattle, WA, with an office in Los Angeles, CA, specializes in developing a SaaS platform for business process improvement. Its proprietary machine learning technology discovers, analyzes, and enhances customers' business processes by tracking workers' steps during routine tasks, all without disrupting users or needing system integrations. Currently, the platform is in a pilot phase with select customers.

CommerceIQ is a company that specializes in e-commerce channel optimization, leveraging machine learning, analytics, and automation to enhance performance across the supply chain, marketing, and sales operations. Its technology is designed to help consumer brands improve their e-commerce effectiveness, enabling them to capture market share and drive profitable growth. Some of the notable brands utilizing CommerceIQ's platform include Avery Products, Georgia-Pacific, and Spectrum Brands, alongside major players in the Fast-Moving Consumer Goods sector. The platform facilitates sales management and retail media management while automating market share recovery and minimizing out-of-stock situations. By providing real-time data-driven insights and collaboration capabilities, CommerceIQ has enabled its clients to achieve significant results, including a notable increase in incremental sales, improved profitability, and reduced out-of-stock rates on major retail sites.

TerraClear, Inc. is an agricultural technology company founded in 2017 and based in Bellevue, Washington. The company specializes in automating crop production and controlling farm costs through innovative solutions. TerraClear focuses on improving farmers' productivity by developing an automated rock-picking system that incorporates smart sensing, machine learning, aerial sensing, machine vision, and advanced robotics. This technology enables farmers to streamline the labor-intensive task of rock removal, allowing them to concentrate on higher-value production and management activities.

OctoAI is an AI infrastructure platform that assists developers in efficiently running, tuning, and scaling generative AI models. By providing a user-friendly interface with pre-built templates for popular open-source models like Stable Diffusion and LLaMA, OctoAI enables seamless deployment and fine-tuning of models. The platform emphasizes flexibility, allowing developers to utilize both off-the-shelf and custom models while ensuring cost-effective performance through model acceleration. Additionally, OctoAI offers automated technology that helps engineering teams deploy machine learning models across various hardware, cloud providers, and edge devices quickly. This managed service leverages machine learning to automate code generation and optimization, ensuring that models operate at peak efficiency and that deployments remain secure in multi-cloud environments. Founded in 2019 and based in Seattle, Washington, OctoAI aims to enhance the capabilities of machine learning engineers and organizations.

SeekOut is a recruitment management platform that utilizes advanced AI and machine-learning technologies to help talent acquisition teams identify and engage hard-to-find and diverse candidates. The platform offers unique sourcing capabilities, including access to GitHub profiles, which allows recruiters to discover untapped deep tech talent. It also features insights from over 80 million profiles in engineering and life sciences, based on patents and research publications, helping organizations identify innovation leaders. SeekOut facilitates one-click access to millions of diverse candidates, enabling recruiters to enhance their diversity initiatives. With a best-in-class AI search across 500 million profiles and industry-leading contact information, the platform increases response rates through automated messaging campaigns. Additionally, SeekOut provides custom search engines for various social networks, offering a comprehensive view of available talent while reducing the need for multiple recruitment tools and improving return on investment.

Ozette Technologies focuses on digitizing biological data through machine learning to provide comprehensive insights into the human immune system. By leveraging a single-cell immune monitoring platform, the company enhances the discovery and annotation of immune cells, facilitating a deeper understanding of immune responses in both health and disease. Its AI-driven computational analysis technology supports scientists and healthcare providers in developing novel therapies and diagnostics, ultimately aiming to improve patient outcomes. Through its innovative approach, Ozette accelerates the advancement of therapeutic solutions by streamlining the analysis of immune data.

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.

Lattice Data, Inc. specializes in data analytics solutions, focusing on processing unstructured data such as text and images. Established in 2015 and based in Menlo Park, California, the company emerged from a Stanford research project known as DeepDive, which serves as a framework for statistical inference. Lattice Data aims to unlock the value in "dark data" to address critical real-world challenges. By converting unstructured data into structured formats, their data management platform enables organizations to utilize traditional analysis tools effectively, enhancing their ability to process and analyze complex information. As of May 2017, Lattice Data operates as a subsidiary of Apple Inc.

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.

Stratify Technologies offers a real-time budgeting and forecasting platform that enhances financial planning through machine learning. The platform identifies performance gaps, quantifies financial impacts, and generates revised forecast scenarios, allowing key stakeholders to align and monitor actual financial and operational performance against budget assumptions. By providing a comprehensive view of financial data, Stratify enables organizations to adopt a continuous planning model, facilitating improved strategic decision-making in their budgeting processes.

Zeitworks Technologies, Inc., established in 2020 and headquartered in Seattle, WA, with an office in Los Angeles, CA, specializes in developing a SaaS platform for business process improvement. Its proprietary machine learning technology discovers, analyzes, and enhances customers' business processes by tracking workers' steps during routine tasks, all without disrupting users or needing system integrations. Currently, the platform is in a pilot phase with select customers.

OctoAI is an AI infrastructure platform that assists developers in efficiently running, tuning, and scaling generative AI models. By providing a user-friendly interface with pre-built templates for popular open-source models like Stable Diffusion and LLaMA, OctoAI enables seamless deployment and fine-tuning of models. The platform emphasizes flexibility, allowing developers to utilize both off-the-shelf and custom models while ensuring cost-effective performance through model acceleration. Additionally, OctoAI offers automated technology that helps engineering teams deploy machine learning models across various hardware, cloud providers, and edge devices quickly. This managed service leverages machine learning to automate code generation and optimization, ensuring that models operate at peak efficiency and that deployments remain secure in multi-cloud environments. Founded in 2019 and based in Seattle, Washington, OctoAI aims to enhance the capabilities of machine learning engineers and organizations.

Kitt.ai develops advanced natural language understanding technologies that facilitate effective communication between users and machines. The company specializes in various applications, including open domain question answering, semantic parsing for interpreting natural language commands, and real-time hot word detection. Its product portfolio features tools like Parsetron, which converts natural language commands into executable API calls, and Answertron, which enhances web search and knowledge base interactions. Kitt.ai also provides solutions for home automation and the Internet of Things, allowing developers to integrate natural language functionality into their hardware. Based in Seattle, Washington, Kitt.ai has been operating as a subsidiary of Baidu, Inc. since 2017.

OctoAI is an AI infrastructure platform that assists developers in efficiently running, tuning, and scaling generative AI models. By providing a user-friendly interface with pre-built templates for popular open-source models like Stable Diffusion and LLaMA, OctoAI enables seamless deployment and fine-tuning of models. The platform emphasizes flexibility, allowing developers to utilize both off-the-shelf and custom models while ensuring cost-effective performance through model acceleration. Additionally, OctoAI offers automated technology that helps engineering teams deploy machine learning models across various hardware, cloud providers, and edge devices quickly. This managed service leverages machine learning to automate code generation and optimization, ensuring that models operate at peak efficiency and that deployments remain secure in multi-cloud environments. Founded in 2019 and based in Seattle, Washington, OctoAI aims to enhance the capabilities of machine learning engineers and organizations.

Suplari, Inc. is a Seattle-based company established in 2016 that focuses on enhancing financial performance and spend accountability for enterprise procurement and finance. By leveraging machine learning, Suplari develops a cloud-based supplier management system that aggregates data from various internal sources, such as contracts, invoices, and usage data. This integration allows for a comprehensive view of suppliers and spending, enabling organizations to proactively manage supplier risk and optimize procurement processes. Suplari’s solutions aim to improve operational intelligence and effectiveness, facilitating better investment in growth and 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.

SeekOut is a recruitment management platform that utilizes advanced AI and machine-learning technologies to help talent acquisition teams identify and engage hard-to-find and diverse candidates. The platform offers unique sourcing capabilities, including access to GitHub profiles, which allows recruiters to discover untapped deep tech talent. It also features insights from over 80 million profiles in engineering and life sciences, based on patents and research publications, helping organizations identify innovation leaders. SeekOut facilitates one-click access to millions of diverse candidates, enabling recruiters to enhance their diversity initiatives. With a best-in-class AI search across 500 million profiles and industry-leading contact information, the platform increases response rates through automated messaging campaigns. Additionally, SeekOut provides custom search engines for various social networks, offering a comprehensive view of available talent while reducing the need for multiple recruitment tools and improving return on investment.

TerraClear, Inc. is an agricultural technology company founded in 2017 and based in Bellevue, Washington. The company specializes in automating crop production and controlling farm costs through innovative solutions. TerraClear focuses on improving farmers' productivity by developing an automated rock-picking system that incorporates smart sensing, machine learning, aerial sensing, machine vision, and advanced robotics. This technology enables farmers to streamline the labor-intensive task of rock removal, allowing them to concentrate on higher-value production and management activities.

Uplevel Inc. is a Seattle-based company founded in 2018 that specializes in engineering intelligence software. Its platform utilizes machine learning and organizational science to enhance productivity within engineering teams by identifying bottlenecks that impede product velocity. Uplevel transforms unstructured data from various software development tools into actionable metrics, allowing enterprises to effectively track software development progress, allocate resources, and fulfill commitments. By integrating insights and coaching into daily workflows, Uplevel enables managers and teams to monitor individual performance metrics and identify execution risks, fostering improved efficiency and behavior change in engineering practices.

Clusterone, formerly known as Good AI Lab, Inc., is a company based in Seattle, Washington, that specializes in providing a cloud platform for deep learning and machine learning applications. Founded in 2016, Clusterone offers a distributed machine learning platform specifically designed for the TensorFlow framework, enabling users to optimize the training of their machine learning models. The platform allows data scientists to aggregate computational resources from various locations, providing them with the flexibility to manage workloads on any infrastructure without the burden of traditional IT management. By automating and optimizing infrastructure management, Clusterone empowers businesses to focus on developing AI models and executing complex machine learning workflows efficiently.

Saykara, Inc. is a healthcare technology company based in Seattle, Washington, founded in 2015. The company focuses on addressing physician burnout and enhancing productivity through its voice-enabled mobile app, Kara, which serves as an ambient and autonomous AI assistant. Kara significantly reduces the time physicians spend on charting by 70% and completely eliminates after-hours charting, while also improving the quality and completeness of clinical notes by 25%. By liberating physicians from tedious data entry and computer screens, Saykara enables more personalized and less rushed patient interactions. The technology is specialty agnostic and scalable, offered through a software-as-a-service (SaaS) subscription model. Saykara's solutions leverage advancements in voice recognition and machine learning to streamline workflows and improve patient care.

Uplevel Inc. is a Seattle-based company founded in 2018 that specializes in engineering intelligence software. Its platform utilizes machine learning and organizational science to enhance productivity within engineering teams by identifying bottlenecks that impede product velocity. Uplevel transforms unstructured data from various software development tools into actionable metrics, allowing enterprises to effectively track software development progress, allocate resources, and fulfill commitments. By integrating insights and coaching into daily workflows, Uplevel enables managers and teams to monitor individual performance metrics and identify execution risks, fostering improved efficiency and behavior change in engineering practices.

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.

Envisagenics, Inc. is a biotechnology company founded in 2013 and headquartered in Huntington, New York. It specializes in the development of a predictive analytics platform aimed at accelerating the discovery of RNA therapeutics. The company leverages advanced artificial intelligence and machine learning algorithms to analyze transcriptomic data, helping researchers identify and validate potential drug targets. Envisagenics' flagship technology, SpliceCore, is a cloud-based platform that utilizes RNA splicing analytics to predict drug targets and biomarkers, addressing the complexities of biomedical data. Given that over 30 million people in the U.S. suffer from genetic diseases or cancers related to RNA splicing errors, the company's mission is to streamline the development of innovative therapeutic solutions. By providing an in-silico RNA therapeutics discovery platform, Envisagenics enhances the efficiency of drug development processes, reducing time, cost, and risk associated with bringing new therapies to market through partnerships with biopharmaceutical companies.

Suplari, Inc. is a Seattle-based company established in 2016 that focuses on enhancing financial performance and spend accountability for enterprise procurement and finance. By leveraging machine learning, Suplari develops a cloud-based supplier management system that aggregates data from various internal sources, such as contracts, invoices, and usage data. This integration allows for a comprehensive view of suppliers and spending, enabling organizations to proactively manage supplier risk and optimize procurement processes. Suplari’s solutions aim to improve operational intelligence and effectiveness, facilitating better investment in growth and innovation.

AnswerIQ Inc. is an artificial intelligence service provider focused on enhancing customer support operations. The company offers a range of tools designed to improve efficiency and accuracy in handling customer support tickets while reducing costs. Key offerings include Self Assist, an intelligent deflection tool that analyzes incoming tickets, and a Customer Support AI Chatbot that automates responses and guides users to relevant knowledge base articles. AnswerIQ also provides Automated Customer Support Triage for instant issue classification, an Automated Ticket Response solution for managing ticket replies, and Agent Assist for streamlining ticketing processes. Additionally, it features Analytics Assessment Tools to identify and address inefficiencies in support templates and knowledge bases. Operating since 2017 and based in Seattle, AnswerIQ serves numerous brands and organizations, integrating seamlessly with existing customer experience management systems like Zendesk and Salesforce. The company is a subsidiary of Freshworks Inc.

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.

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, Inc. is a Seattle-based company established in 2016 that focuses on enhancing financial performance and spend accountability for enterprise procurement and finance. By leveraging machine learning, Suplari develops a cloud-based supplier management system that aggregates data from various internal sources, such as contracts, invoices, and usage data. This integration allows for a comprehensive view of suppliers and spending, enabling organizations to proactively manage supplier risk and optimize procurement processes. Suplari’s solutions aim to improve operational intelligence and effectiveness, facilitating better investment in growth and innovation.

Mighty AI, Inc. operates a Training Data as a Service platform that assists businesses in acquiring the datasets necessary to train and enhance their computer vision and natural language models. The company's platform features a global community of individuals who perform micro tasks, such as labeling objects in images and conducting sentiment analysis on text. By leveraging its proprietary machine learning technology and a comprehensive suite of annotation software, Mighty AI ensures high accuracy and scalability in the data it provides. Founded in 2014 and headquartered in Seattle, Washington, with an additional office in Detroit, Michigan, Mighty AI serves customers worldwide and specializes in delivering training data for companies developing computer vision models, particularly for autonomous vehicles. The company was previously known as Spare5 Inc. and became a subsidiary of Uber Technologies, Inc. in 2019.

Saykara, Inc. is a healthcare technology company based in Seattle, Washington, founded in 2015. The company focuses on addressing physician burnout and enhancing productivity through its voice-enabled mobile app, Kara, which serves as an ambient and autonomous AI assistant. Kara significantly reduces the time physicians spend on charting by 70% and completely eliminates after-hours charting, while also improving the quality and completeness of clinical notes by 25%. By liberating physicians from tedious data entry and computer screens, Saykara enables more personalized and less rushed patient interactions. The technology is specialty agnostic and scalable, offered through a software-as-a-service (SaaS) subscription model. Saykara's solutions leverage advancements in voice recognition and machine learning to streamline workflows and improve patient care.

CommerceIQ is a company that specializes in e-commerce channel optimization, leveraging machine learning, analytics, and automation to enhance performance across the supply chain, marketing, and sales operations. Its technology is designed to help consumer brands improve their e-commerce effectiveness, enabling them to capture market share and drive profitable growth. Some of the notable brands utilizing CommerceIQ's platform include Avery Products, Georgia-Pacific, and Spectrum Brands, alongside major players in the Fast-Moving Consumer Goods sector. The platform facilitates sales management and retail media management while automating market share recovery and minimizing out-of-stock situations. By providing real-time data-driven insights and collaboration capabilities, CommerceIQ has enabled its clients to achieve significant results, including a notable increase in incremental sales, improved profitability, and reduced out-of-stock rates on major retail sites.

Boomerang Commerce is a technology company that provides a software-as-a-service (SaaS) platform designed to help omni-channel retailers optimize revenue and margin growth through advanced pricing strategies. The company leverages machine learning and real-time data analytics to analyze, test, and implement smart pricing solutions across millions of products, including private labels. Boomerang's client base includes prominent retailers such as Staples and OfficeDepot, as well as web-only platforms like Groupon Goods. The platform has demonstrated significant financial impact, generating an estimated $40 million in incremental revenue and $9 million in incremental margins for every $1 billion in revenue processed. Founded by industry veterans with experience from major companies, Boomerang has received recognition as a Gartner Cool Vendor in Digital Commerce and is listed among the top 50 big data companies globally.

Mighty AI, Inc. operates a Training Data as a Service platform that assists businesses in acquiring the datasets necessary to train and enhance their computer vision and natural language models. The company's platform features a global community of individuals who perform micro tasks, such as labeling objects in images and conducting sentiment analysis on text. By leveraging its proprietary machine learning technology and a comprehensive suite of annotation software, Mighty AI ensures high accuracy and scalability in the data it provides. Founded in 2014 and headquartered in Seattle, Washington, with an additional office in Detroit, Michigan, Mighty AI serves customers worldwide and specializes in delivering training data for companies developing computer vision models, particularly for autonomous vehicles. The company was previously known as Spare5 Inc. and became a subsidiary of Uber Technologies, Inc. in 2019.

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.

Mighty AI, Inc. operates a Training Data as a Service platform that assists businesses in acquiring the datasets necessary to train and enhance their computer vision and natural language models. The company's platform features a global community of individuals who perform micro tasks, such as labeling objects in images and conducting sentiment analysis on text. By leveraging its proprietary machine learning technology and a comprehensive suite of annotation software, Mighty AI ensures high accuracy and scalability in the data it provides. Founded in 2014 and headquartered in Seattle, Washington, with an additional office in Detroit, Michigan, Mighty AI serves customers worldwide and specializes in delivering training data for companies developing computer vision models, particularly for autonomous vehicles. The company was previously known as Spare5 Inc. and became a subsidiary of Uber Technologies, Inc. in 2019.

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.

CommerceIQ is a company that specializes in e-commerce channel optimization, leveraging machine learning, analytics, and automation to enhance performance across the supply chain, marketing, and sales operations. Its technology is designed to help consumer brands improve their e-commerce effectiveness, enabling them to capture market share and drive profitable growth. Some of the notable brands utilizing CommerceIQ's platform include Avery Products, Georgia-Pacific, and Spectrum Brands, alongside major players in the Fast-Moving Consumer Goods sector. The platform facilitates sales management and retail media management while automating market share recovery and minimizing out-of-stock situations. By providing real-time data-driven insights and collaboration capabilities, CommerceIQ has enabled its clients to achieve significant results, including a notable increase in incremental sales, improved profitability, and reduced out-of-stock rates on major retail sites.

Boomerang Commerce is a technology company that provides a software-as-a-service (SaaS) platform designed to help omni-channel retailers optimize revenue and margin growth through advanced pricing strategies. The company leverages machine learning and real-time data analytics to analyze, test, and implement smart pricing solutions across millions of products, including private labels. Boomerang's client base includes prominent retailers such as Staples and OfficeDepot, as well as web-only platforms like Groupon Goods. The platform has demonstrated significant financial impact, generating an estimated $40 million in incremental revenue and $9 million in incremental margins for every $1 billion in revenue processed. Founded by industry veterans with experience from major companies, Boomerang has received recognition as a Gartner Cool Vendor in Digital Commerce and is listed among the top 50 big data companies globally.

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.

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.

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.

Recraft is a creative AI tool.

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.

Yoodli is an AI-powered platform designed to enhance communication skills through real-time feedback. By allowing users to practice their public speaking in a supportive environment, Yoodli records video presentations and analyzes them to identify areas for improvement. The platform offers insights on clarity of speech, word choice, eye contact, and gestures, enabling individuals and organizations to refine their communication abilities effectively. This approach eliminates the stress of performing in front of an audience, fostering a more comfortable learning experience.