Madrona Venture Group

Madrona Venture Group is a Seattle-based venture capital firm founded in 1995 that backs technology and consumer startups from seed through growth stages. It focuses on information technology, software, digital media and advertising, e-commerce, data analytics, fintech, cloud, mobile, and AI, as well as related infrastructure, hardware, and robotics. The firm primarily targets companies in the Pacific Northwest and the broader West Coast, and often leads investments with a goal of taking board seats to help portfolio companies scale from early development to market leadership.

Tom Alberg

Co-Founder and Managing Director

Loren Alhadeff

Venture Partner

Jennifer Chambers

Administrative Partner

Troy Cichos JD

Partner

Hope Cochran

Venture Partner

Jack Creighton

Strategic Director

Aseem Datar

Partner

Patrick J. Ennis

Venture Partner

Maggie Finch

Partner

Maria Gilfoyle

Investor

Palak Goel

Investor

Paul Goodrich

Managing Director

Gerald Grinstein

Co-Founder and Strategic Director

Joseph Horsman

Investor

Scott Jacobson

Managing Director

Len Jordan

Managing Director

Ted Kummert

Venture Partner

Daniel Li

Venture Partner

Matthew McIlwain

Managing Director

Karan Mehandru

Managing Director

Mark T. Nelson

Venture Partner

Babak Parviz

Venture Partner

James Phillips

Strategic Director

Chris Picardo

Partner

Tim Porter

Managing Director

Vivek Ramaswami

Partner

Bill Richter

Venture Partner

William Ruckelshaus

Strategic Director

Siddharth Shenai JD

Venture Partner

Steve Singh

Managing Director

Soma Somasegar

Managing Director

John Torrey

Venture Partner

Jon Turow

Partner

Ishani Ummat

Investor

Dan Weld

Venture Partner

Past deals in Machine Learning

Anagram

Series A in 2025
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

Series B in 2024
Founded in 2018, Terray Therapeutics is a biotechnology company based in Pasadena, California. It integrates experimentation and computation to enhance small molecule drug discovery, focusing on intractable diseases. The company's platform generates precise data through a rapid design-make-test-analyze cycle, enabling efficient exploration of chemical space.

Shaped

Series A in 2024
Founded in 2021, Shaped is a New York-based company that enhances user engagement and conversions through real-time adaptive systems. Its platform uses AI and machine learning to provide personalized recommendations and notifications.

TerraClear

Series A in 2024
TerraClear is an agricultural technology company that designs and deploys automated rock-picking solutions to reduce farm costs and labor while automating field maintenance. Its system integrates smart sensing, machine learning, aerial sensing, high-accuracy GPS, and robotics to identify rocks and remove them, enabling farmers to focus on production and management. Founded in 2017 and based in Bellevue, Washington.

Unstructured

Series B in 2024
Unstructured is a developer of an open-source data transformation platform that simplifies the process of converting raw data, such as PDFs and Microsoft Office documents, into formats compatible with language models. The platform supports over 25 file types, including PDF, DOC, and PPTX, and offers connectors to various systems like SharePoint, S3, and Databricks. By facilitating effortless data extraction and integration into AI workflows, Unstructured enhances the accessibility of human-generated information, ensuring that it is readily available for generative AI systems. Its modular architecture allows users to incorporate any third-party model, making it a versatile solution for preprocessing natural language data for machine learning applications.

Codified

Seed Round in 2024
Codified is a cloud-based SaaS company that specializes in data governance for Generative AI and Retrieval-Augmented Generation (RAG) applications. Its platform helps enterprises manage and control data usage within these tools, addressing concerns about data exposure and potential leaks of sensitive information. Codified automatically categorizes data into manageable buckets and suggests rules for each category, enabling businesses to maintain data security, comply with regulations, and mitigate risks associated with sensitive data exposure in AI-driven applications.

MotherDuck

Series B in 2023
MotherDuck is a company that specializes in data infrastructure and analytics, providing a serverless platform designed for both small and large datasets. By integrating the efficiency of DuckDB with cloud capabilities, MotherDuck delivers a user-friendly analytics solution that supports hybrid execution. Its platform utilizes an embedded database to facilitate the analysis of big data, enabling businesses to prototype with both local and remote data seamlessly. This integrated environment allows organizations to effectively analyze their data, enhancing collaboration and maximizing profitability.

Unstructured

Series A in 2023
Unstructured is a developer of an open-source data transformation platform that simplifies the process of converting raw data, such as PDFs and Microsoft Office documents, into formats compatible with language models. The platform supports over 25 file types, including PDF, DOC, and PPTX, and offers connectors to various systems like SharePoint, S3, and Databricks. By facilitating effortless data extraction and integration into AI workflows, Unstructured enhances the accessibility of human-generated information, ensuring that it is readily available for generative AI systems. Its modular architecture allows users to incorporate any third-party model, making it a versatile solution for preprocessing natural language data for machine learning applications.

Groundlight AI

Seed Round in 2023
Groundlight AI provides computer vision and machine-learning tools that let developers interpret images with natural-language prompts and minimal code, enabling rapid deployment of visual models. The platform is designed to ease integration into existing business logic by reducing the need for extensive data collection and training. When ambiguity occurs, low-confidence outputs are automatically escalated to more capable ML models and human experts through an assisted escalation workflow, ensuring higher accuracy. Groundlight blends traditional deep learning with real-time optimization and expert supervision to deliver customized, human-in-the-loop AI models that can become functional within minutes after a few lines of code.

Numbers Station

Series A in 2023
Numbers Station develops an AI-powered platform that automates data-intensive workflows. Its specialized models generate valuable insights, helping businesses make informed decisions.

Fixie.ai

Seed Round in 2023
Fixie is a software platform that focuses on utilizing artificial intelligence to transform software development. The company aims to create an innovative interface for Large Language Models (LLMs) that connects with various tools, data sources, and APIs. By offering a cloud-based solution, Fixie enables users to automate business processes, incorporate natural language understanding into existing products, and efficiently query data hosted behind APIs. This approach allows for the seamless integration of LLMs with real-world systems, enhancing functionality and user experience in diverse applications.

XetHub

Seed Round in 2023
XetHub is a collaborative storage platform focused on data management and the development of Generative AI applications. It allows users to build and deploy AI solutions while managing and versioning large-scale data repositories. The platform emphasizes efficiency and speed, featuring capabilities such as data deduplication and incremental difference tracking. Its GitHub-style collaboration workflows enable users to keep models, embeddings, data, prompts, and code integrated within a single system. Additionally, XetHub allows for direct mounting of repositories, facilitating instant access to files while ensuring compliance and streamlining the machine learning development process.

Deepgram

Series B in 2022
Deepgram designs and develops artificial intelligence-based automatic speech recognition solutions. Its platform enables enterprises to label, train, and deploy speech recognition models for converting audio data into insights and automating actions. Deepgram serves individual developers and Fortune 500 companies.

MotherDuck

Seed Round in 2022
MotherDuck is a company that specializes in data infrastructure and analytics, providing a serverless platform designed for both small and large datasets. By integrating the efficiency of DuckDB with cloud capabilities, MotherDuck delivers a user-friendly analytics solution that supports hybrid execution. Its platform utilizes an embedded database to facilitate the analysis of big data, enabling businesses to prototype with both local and remote data seamlessly. This integrated environment allows organizations to effectively analyze their data, enhancing collaboration and maximizing profitability.

MotherDuck

Series A in 2022
MotherDuck is a company that specializes in data infrastructure and analytics, providing a serverless platform designed for both small and large datasets. By integrating the efficiency of DuckDB with cloud capabilities, MotherDuck delivers a user-friendly analytics solution that supports hybrid execution. Its platform utilizes an embedded database to facilitate the analysis of big data, enabling businesses to prototype with both local and remote data seamlessly. This integrated environment allows organizations to effectively analyze their data, enhancing collaboration and maximizing profitability.

Spice AI

Seed Round in 2022
Founded in 2021, Spice AI is a Seattle-based startup developing an AI and data infrastructure platform. This platform provides composable building blocks such as SQL query acceleration, vector search, model serving, and an AI gateway, enabling developers to create intelligent applications efficiently.

Yoodli

Seed Round in 2022
Yoodli is a platform that uses AI to provide real-time feedback on users' communication skills. It helps individuals improve their public speaking abilities by recording video presentations, identifying areas for improvement in word selection, eye contact, and gestures.

Ozette Technologies

Series A in 2022
Ozette Technologies specializes in digitizing biological data using machine learning to provide a comprehensive view of an individual's immune system. This enables accelerated discovery and development of therapies and diagnostics.

Uplevel

Series A in 2022
Founded in 2018, Uplevel is a software company based in Seattle, Washington. It designs and develops an engineering intelligence platform that transforms unstructured data from software development tools into dynamic, actionable metrics. Using machine learning and organizational science, Uplevel helps enterprises identify hidden bottlenecks to improve productivity, track progress, allocate resources effectively, and meet commitments.

RelationalAI

Series B in 2022
RelationalAI is a company that specializes in creating a relational knowledge graph system aimed at addressing complex business challenges. By focusing on the intricate interdependencies and structures present in organizations, RelationalAI enhances the capabilities of the modern data stack. This innovation accelerates the development of intelligent applications by enabling entrepreneurs to build data-centric solutions with integrated semantic layers. The company's approach seeks to simplify the process of codifying and leveraging knowledge, thereby lowering barriers for businesses to create and utilize intelligent applications effectively.

Statsig

Series B in 2022
Statsig is a modern product experimentation platform that enables businesses to optimize their decision-making through comprehensive digital product testing. Unlike traditional A/B testing tools, Statsig tracks the impact of every feature release, allowing teams to quantify the effects of their efforts. Its Product Observability feature helps teams identify metric drops shortly after launching new features, facilitating quick adjustments to improve performance. This capability empowers product developers to conduct numerous high-quality experiments and analyze user responses to new functionalities daily. Founded by a team with a background at Facebook, Statsig aims to enhance product velocity and efficiency by providing advanced data tools and infrastructure that promote informed decision-making in product development.

CommerceIQ

Series D in 2022
CommerceIQ specializes in Ecommerce Channel Optimization (ECO), using machine learning and automation to optimize e-commerce operations for leading consumer brands. Its platform drives a 40% increase in incremental sales, a 20% improvement in profitability, and reduces out-of-stock rates by 32%.

Terray Therapeutics

Series A in 2022
Founded in 2018, Terray Therapeutics is a biotechnology company based in Pasadena, California. It integrates experimentation and computation to enhance small molecule drug discovery, focusing on intractable diseases. The company's platform generates precise data through a rapid design-make-test-analyze cycle, enabling efficient exploration of chemical space.

SeekOut

Series C in 2022
SeekOut is an advanced AI-powered recruitment management platform that specializes in identifying and engaging hard-to-find and diverse talent. The company's unique capabilities allow recruiters to access a vast pool of over 80 million profiles, particularly in engineering and life sciences, by utilizing data from patents and research publications. SeekOut provides recruiters with tools to discover untapped deep tech talent through its proprietary sourcing solution for GitHub. It also offers best-in-class AI search functionality over 500 million profiles, ensuring that recruiters can efficiently match candidates to job vacancies. With features like one-click access to diverse candidates, automated messaging campaigns, and custom search engines across 37 social networks and websites, SeekOut enhances the recruiting process, allowing teams to focus on strategic tasks while improving overall return on investment.

Pendulum Intelligence

Seed Round in 2022
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

Series A in 2021
WhyLabs provides an AI observability platform that enables teams to monitor real-time predictive and generative AI applications. It surfaces issues such as bad actors, bias, performance decay, data drift, and data quality problems, helping teams reduce manual operations by over 80% and expedite incident resolution.

OctoML

Series C in 2021
OctoML provides a SaaS platform for machine learning engineers to automate model optimization using Apache TVM. Its flagship product, Octomizer, enables users to upload models, optimize them for various hardware environments, and benchmark performance. Incorporated in 2019, the company is headquartered in Seattle, Washington.

Magnify

Seed Round in 2021
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

Pre Seed Round in 2021
Founded in 2021, Spice AI is a Seattle-based startup developing an AI and data infrastructure platform. This platform provides composable building blocks such as SQL query acceleration, vector search, model serving, and an AI gateway, enabling developers to create intelligent applications efficiently.

Yoodli

Pre Seed Round in 2021
Yoodli is a platform that uses AI to provide real-time feedback on users' communication skills. It helps individuals improve their public speaking abilities by recording video presentations, identifying areas for improvement in word selection, eye contact, and gestures.

Envisagenics

Series A in 2021
Envisagenics is a Huntington, New York-based company that develops a predictive analytics and bioinformatics platform to accelerate RNA therapeutics discovery. The cloud-based SpliceCore platform analyzes RNA sequencing data with artificial intelligence to identify splicing errors linked to disease, predict drug targets, and guide the design of RNA-based therapies. By translating transcriptomic insights into actionable targets, Envisagenics aims to reduce the time, cost, and risk of pharmaceutical development and to support partnerships with biopharma organizations. The firm focuses on uncovering RNA splicing alterations and translating them into therapeutic candidates, enabling researchers to validate targets and biomarkers more efficiently. The company originated as a spinout from Cold Spring Harbor Laboratory and emphasizes the use of AI and machine learning to simplify complex biomedical data for therapeutic discovery.

Statsig

Series A in 2021
Statsig is a modern product experimentation platform that enables businesses to optimize their decision-making through comprehensive digital product testing. Unlike traditional A/B testing tools, Statsig tracks the impact of every feature release, allowing teams to quantify the effects of their efforts. Its Product Observability feature helps teams identify metric drops shortly after launching new features, facilitating quick adjustments to improve performance. This capability empowers product developers to conduct numerous high-quality experiments and analyze user responses to new functionalities daily. Founded by a team with a background at Facebook, Statsig aims to enhance product velocity and efficiency by providing advanced data tools and infrastructure that promote informed decision-making in product development.

Modulus Therapeutics

Seed Round in 2021
Modulus Therapeutics is a biotechnology company that develops immune cell therapies for treating solid tumors. It uses artificial intelligence and machine learning to optimize cell designs, aiming to provide effective treatments for various cancers.

Amperity

Series D in 2021
Amperity is a company dedicated to helping businesses leverage data to enhance customer service. It specializes in creating a comprehensive Customer 360 view by using artificial intelligence to integrate and standardize raw data from various sources such as e-commerce, email, and loyalty programs. This platform enables companies to connect with, identify, and understand their customers more effectively, thereby improving marketing performance and driving growth. By providing technical teams with streamlined data management and business teams with direct access to comprehensive customer data, Amperity aims to build long-term customer loyalty and deliver exceptional customer experiences for some of the world's most recognized brands.

Zeitworks

Venture Round in 2021
Zeitworks Technologies, Inc., established in 2020 and headquartered in Seattle, Washington, with an additional office in Los Angeles, California, specializes in developing a SaaS platform for business process improvement. The platform employs machine learning to analyze and enhance customers' business processes, measuring execution step-by-step through the paths workers naturally take. It operates without disrupting users or requiring system integrations, making it currently available to select pilot customers.

CommerceIQ

Series C in 2021
CommerceIQ specializes in Ecommerce Channel Optimization (ECO), using machine learning and automation to optimize e-commerce operations for leading consumer brands. Its platform drives a 40% increase in incremental sales, a 20% improvement in profitability, and reduces out-of-stock rates by 32%.

TerraClear

Series A in 2021
TerraClear is an agricultural technology company that designs and deploys automated rock-picking solutions to reduce farm costs and labor while automating field maintenance. Its system integrates smart sensing, machine learning, aerial sensing, high-accuracy GPS, and robotics to identify rocks and remove them, enabling farmers to focus on production and management. Founded in 2017 and based in Bellevue, Washington.

OctoML

Series B in 2021
OctoML provides a SaaS platform for machine learning engineers to automate model optimization using Apache TVM. Its flagship product, Octomizer, enables users to upload models, optimize them for various hardware environments, and benchmark performance. Incorporated in 2019, the company is headquartered in Seattle, Washington.

SeekOut

Series B in 2021
SeekOut is an advanced AI-powered recruitment management platform that specializes in identifying and engaging hard-to-find and diverse talent. The company's unique capabilities allow recruiters to access a vast pool of over 80 million profiles, particularly in engineering and life sciences, by utilizing data from patents and research publications. SeekOut provides recruiters with tools to discover untapped deep tech talent through its proprietary sourcing solution for GitHub. It also offers best-in-class AI search functionality over 500 million profiles, ensuring that recruiters can efficiently match candidates to job vacancies. With features like one-click access to diverse candidates, automated messaging campaigns, and custom search engines across 37 social networks and websites, SeekOut enhances the recruiting process, allowing teams to focus on strategic tasks while improving overall return on investment.

Ozette Technologies

Seed Round in 2021
Ozette Technologies specializes in digitizing biological data using machine learning to provide a comprehensive view of an individual's immune system. This enables accelerated discovery and development of therapies and diagnostics.

RelationalAI

Series A in 2021
RelationalAI is a company that specializes in creating a relational knowledge graph system aimed at addressing complex business challenges. By focusing on the intricate interdependencies and structures present in organizations, RelationalAI enhances the capabilities of the modern data stack. This innovation accelerates the development of intelligent applications by enabling entrepreneurs to build data-centric solutions with integrated semantic layers. The company's approach seeks to simplify the process of codifying and leveraging knowledge, thereby lowering barriers for businesses to create and utilize intelligent applications effectively.

Lattice

Seed Round in 2020
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

Seed Round in 2020
WhyLabs provides an AI observability platform that enables teams to monitor real-time predictive and generative AI applications. It surfaces issues such as bad actors, bias, performance decay, data drift, and data quality problems, helping teams reduce manual operations by over 80% and expedite incident resolution.

Stratify

Seed Round in 2020
Stratify Technologies specializes in providing a real-time, collaborative budgeting and forecasting solution that enhances financial planning processes. By utilizing machine learning, the company's platform identifies performance gaps, quantifies financial impacts, and generates revised forecast scenarios. This innovative approach delivers a comprehensive view for key stakeholders, allowing them to align, plan, and monitor actual financial and operational performance against budget assumptions. Stratify's tools aim to redefine traditional budgeting practices and enable organizations to adopt a continuous planning model, ultimately facilitating improved strategic decision-making.

Zeitworks

Seed Round in 2020
Zeitworks Technologies, Inc., established in 2020 and headquartered in Seattle, Washington, with an additional office in Los Angeles, California, specializes in developing a SaaS platform for business process improvement. The platform employs machine learning to analyze and enhance customers' business processes, measuring execution step-by-step through the paths workers naturally take. It operates without disrupting users or requiring system integrations, making it currently available to select pilot customers.

OctoML

Series A in 2020
OctoML provides a SaaS platform for machine learning engineers to automate model optimization using Apache TVM. Its flagship product, Octomizer, enables users to upload models, optimize them for various hardware environments, and benchmark performance. Incorporated in 2019, the company is headquartered in Seattle, Washington.

Kitt.ai

Venture Round in 2020
Kitt.ai is a technology company based in Seattle, Washington, specializing in natural language understanding technologies. The company develops solutions that enable conversational understanding, focusing on multi-turn dialogue and offering a range of applications such as enterprise intelligence and home automation. Kitt.ai's product portfolio includes Parsetron, which parses natural language commands into executable API calls; Semantic Lighting, for controlling smart lighting systems; Answertron, a technology for answering factual questions to enhance web and knowledge base searches; and Snowboy, a real-time hot word detection system. These technologies facilitate the integration of natural language processing capabilities into various hardware and software platforms, making it easier for developers to implement advanced speech and language functionalities. As of 2017, Kitt.ai operates as a subsidiary of Baidu, Inc.

OctoML

Seed Round in 2019
OctoML provides a SaaS platform for machine learning engineers to automate model optimization using Apache TVM. Its flagship product, Octomizer, enables users to upload models, optimize them for various hardware environments, and benchmark performance. Incorporated in 2019, the company is headquartered in Seattle, Washington.

Suplari

Series A in 2019
Suplari, Inc. is a Seattle-based company founded in 2016 that specializes in developing systems for spend accountability and financial performance in enterprise procurement and finance. By leveraging machine learning, Suplari transforms the management of suppliers and costs for businesses. The company aggregates data from various internal sources, such as contracts, invoices, and usage records, into a unified datastore. This integration allows Suplari to provide applications that offer customers a comprehensive view of their supplier relationships. Their cloud-based system is designed to enhance operational intelligence and effectiveness, helping organizations manage spending, mitigate supplier risk, and streamline procurement processes. Ultimately, Suplari aims to empower companies to invest more effectively in growth and innovation.

Amperity

Series C in 2019
Amperity is a company dedicated to helping businesses leverage data to enhance customer service. It specializes in creating a comprehensive Customer 360 view by using artificial intelligence to integrate and standardize raw data from various sources such as e-commerce, email, and loyalty programs. This platform enables companies to connect with, identify, and understand their customers more effectively, thereby improving marketing performance and driving growth. By providing technical teams with streamlined data management and business teams with direct access to comprehensive customer data, Amperity aims to build long-term customer loyalty and deliver exceptional customer experiences for some of the world's most recognized brands.

SeekOut

Series A in 2019
SeekOut is an advanced AI-powered recruitment management platform that specializes in identifying and engaging hard-to-find and diverse talent. The company's unique capabilities allow recruiters to access a vast pool of over 80 million profiles, particularly in engineering and life sciences, by utilizing data from patents and research publications. SeekOut provides recruiters with tools to discover untapped deep tech talent through its proprietary sourcing solution for GitHub. It also offers best-in-class AI search functionality over 500 million profiles, ensuring that recruiters can efficiently match candidates to job vacancies. With features like one-click access to diverse candidates, automated messaging campaigns, and custom search engines across 37 social networks and websites, SeekOut enhances the recruiting process, allowing teams to focus on strategic tasks while improving overall return on investment.

Algorithmia

Series B in 2019
Founded in 2013, Algorithmia provides a platform for deploying and managing machine learning models at scale. It enables algorithm developers to explore, create, and share algorithms as Web services, supporting popular frameworks like TensorFlow, PyTorch, and Scikit-learn. The company automates MLOps, empowering data scientists and developers while powering mission-critical workloads for its enterprise customers.

TerraClear

Seed Round in 2019
TerraClear is an agricultural technology company that designs and deploys automated rock-picking solutions to reduce farm costs and labor while automating field maintenance. Its system integrates smart sensing, machine learning, aerial sensing, high-accuracy GPS, and robotics to identify rocks and remove them, enabling farmers to focus on production and management. Founded in 2017 and based in Bellevue, Washington.

Uplevel

Seed Round in 2019
Founded in 2018, Uplevel is a software company based in Seattle, Washington. It designs and develops an engineering intelligence platform that transforms unstructured data from software development tools into dynamic, actionable metrics. Using machine learning and organizational science, Uplevel helps enterprises identify hidden bottlenecks to improve productivity, track progress, allocate resources effectively, and meet commitments.

Clusterone

Seed Round in 2019
Clusterone, formerly known as Good AI Lab, Inc., is a Seattle-based company that specializes in developing a cloud platform designed to aggregate computational resources and facilitate machine learning processes. Founded in 2016, Clusterone offers a distributed machine learning platform that optimizes the training of models using the TensorFlow framework. The company provides a serverless AI operating system that alleviates the burden of infrastructure management from IT teams, allowing them to concentrate on developing AI models instead of handling operational tasks. By enabling data scientists to run machine learning and deep learning workloads efficiently across various infrastructures, Clusterone enhances automation and optimization in deploying AI systems.

Saykara

Seed Round in 2018
Saykara, Inc. is a healthcare technology company based in Seattle, Washington, founded in 2015. It addresses physician burnout and enhances productivity through its innovative ambient and autonomous AI assistant, known as Kara. This voice-enabled mobile application 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 minimizing reliance on keyboards and computer screens, Kara allows physicians to focus more on patient interactions, resulting in more personalized and less rushed visits. The technology is specialty agnostic, scalable for enterprise use, and offered through a software-as-a-service subscription model. Saykara's solutions leverage advanced voice recognition and machine learning to streamline clinical workflows, ultimately improving patient care and the overall quality of life for healthcare providers.

Uplevel

Seed Round in 2018
Founded in 2018, Uplevel is a software company based in Seattle, Washington. It designs and develops an engineering intelligence platform that transforms unstructured data from software development tools into dynamic, actionable metrics. Using machine learning and organizational science, Uplevel helps enterprises identify hidden bottlenecks to improve productivity, track progress, allocate resources effectively, and meet commitments.

Xnor.ai

Series A in 2018
Xnor.ai, founded in 2016 and based in Seattle, Washington, specializes in developing machine learning software that enables deep learning algorithms to be executed locally on various devices, including mobile phones, drones, and wearables. The company's platform allows for sophisticated applications across multiple sectors, such as aerospace, automotive, retail, photography, and consumer electronics. By facilitating high-performance, low-power machine learning models, Xnor.ai ensures that data privacy is maintained, connectivity is not required, and resource demands are minimized, all while maintaining accuracy and performance. This innovative technology allows for advanced functionalities like machine vision and speech recognition to be performed directly on edge devices, making it a valuable asset for enterprises looking to leverage artificial intelligence more effectively. As of January 2020, Xnor.ai operates as a subsidiary of Apple Inc.

Envisagenics

Seed Round in 2018
Envisagenics is a Huntington, New York-based company that develops a predictive analytics and bioinformatics platform to accelerate RNA therapeutics discovery. The cloud-based SpliceCore platform analyzes RNA sequencing data with artificial intelligence to identify splicing errors linked to disease, predict drug targets, and guide the design of RNA-based therapies. By translating transcriptomic insights into actionable targets, Envisagenics aims to reduce the time, cost, and risk of pharmaceutical development and to support partnerships with biopharma organizations. The firm focuses on uncovering RNA splicing alterations and translating them into therapeutic candidates, enabling researchers to validate targets and biomarkers more efficiently. The company originated as a spinout from Cold Spring Harbor Laboratory and emphasizes the use of AI and machine learning to simplify complex biomedical data for therapeutic discovery.

Suplari

Series A in 2018
Suplari, Inc. is a Seattle-based company founded in 2016 that specializes in developing systems for spend accountability and financial performance in enterprise procurement and finance. By leveraging machine learning, Suplari transforms the management of suppliers and costs for businesses. The company aggregates data from various internal sources, such as contracts, invoices, and usage records, into a unified datastore. This integration allows Suplari to provide applications that offer customers a comprehensive view of their supplier relationships. Their cloud-based system is designed to enhance operational intelligence and effectiveness, helping organizations manage spending, mitigate supplier risk, and streamline procurement processes. Ultimately, Suplari aims to empower companies to invest more effectively in growth and innovation.

Amperity

Series B in 2017
Amperity is a company dedicated to helping businesses leverage data to enhance customer service. It specializes in creating a comprehensive Customer 360 view by using artificial intelligence to integrate and standardize raw data from various sources such as e-commerce, email, and loyalty programs. This platform enables companies to connect with, identify, and understand their customers more effectively, thereby improving marketing performance and driving growth. By providing technical teams with streamlined data management and business teams with direct access to comprehensive customer data, Amperity aims to build long-term customer loyalty and deliver exceptional customer experiences for some of the world's most recognized brands.

Algorithmia

Series A in 2017
Founded in 2013, Algorithmia provides a platform for deploying and managing machine learning models at scale. It enables algorithm developers to explore, create, and share algorithms as Web services, supporting popular frameworks like TensorFlow, PyTorch, and Scikit-learn. The company automates MLOps, empowering data scientists and developers while powering mission-critical workloads for its enterprise customers.

Suplari

Seed Round in 2017
Suplari, Inc. is a Seattle-based company founded in 2016 that specializes in developing systems for spend accountability and financial performance in enterprise procurement and finance. By leveraging machine learning, Suplari transforms the management of suppliers and costs for businesses. The company aggregates data from various internal sources, such as contracts, invoices, and usage records, into a unified datastore. This integration allows Suplari to provide applications that offer customers a comprehensive view of their supplier relationships. Their cloud-based system is designed to enhance operational intelligence and effectiveness, helping organizations manage spending, mitigate supplier risk, and streamline procurement processes. Ultimately, Suplari aims to empower companies to invest more effectively in growth and innovation.

Xnor.ai

Seed Round in 2017
Xnor.ai, founded in 2016 and based in Seattle, Washington, specializes in developing machine learning software that enables deep learning algorithms to be executed locally on various devices, including mobile phones, drones, and wearables. The company's platform allows for sophisticated applications across multiple sectors, such as aerospace, automotive, retail, photography, and consumer electronics. By facilitating high-performance, low-power machine learning models, Xnor.ai ensures that data privacy is maintained, connectivity is not required, and resource demands are minimized, all while maintaining accuracy and performance. This innovative technology allows for advanced functionalities like machine vision and speech recognition to be performed directly on edge devices, making it a valuable asset for enterprises looking to leverage artificial intelligence more effectively. As of January 2020, Xnor.ai operates as a subsidiary of Apple Inc.

Mighty AI

Series B in 2017
Mighty AI, Inc. is a provider of Training Data as a Service, specializing in delivering high-quality datasets for businesses developing computer vision and natural language processing models. Established in 2014 and headquartered in Seattle, Washington, with an additional office in Detroit, Michigan, the company operates a platform that connects a global community of individuals who perform micro tasks, such as object identification in images and sentiment analysis of text. This community enhances the accuracy and scalability of the data provided, as Mighty AI combines its proprietary machine learning technology with a suite of annotation software and managed services. The company primarily serves clients in sectors like autonomous vehicles, leveraging its expertise and resources to meet the evolving needs of its customers worldwide. In January 2017, the company rebranded from Spare5 Inc. to Mighty AI, and it is currently a subsidiary of Uber Technologies, Inc.

Saykara

Seed Round in 2016
Saykara, Inc. is a healthcare technology company based in Seattle, Washington, founded in 2015. It addresses physician burnout and enhances productivity through its innovative ambient and autonomous AI assistant, known as Kara. This voice-enabled mobile application 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 minimizing reliance on keyboards and computer screens, Kara allows physicians to focus more on patient interactions, resulting in more personalized and less rushed visits. The technology is specialty agnostic, scalable for enterprise use, and offered through a software-as-a-service subscription model. Saykara's solutions leverage advanced voice recognition and machine learning to streamline clinical workflows, ultimately improving patient care and the overall quality of life for healthcare providers.

Amperity

Series A in 2016
Amperity is a company dedicated to helping businesses leverage data to enhance customer service. It specializes in creating a comprehensive Customer 360 view by using artificial intelligence to integrate and standardize raw data from various sources such as e-commerce, email, and loyalty programs. This platform enables companies to connect with, identify, and understand their customers more effectively, thereby improving marketing performance and driving growth. By providing technical teams with streamlined data management and business teams with direct access to comprehensive customer data, Amperity aims to build long-term customer loyalty and deliver exceptional customer experiences for some of the world's most recognized brands.

CommerceIQ

Series B in 2016
CommerceIQ specializes in Ecommerce Channel Optimization (ECO), using machine learning and automation to optimize e-commerce operations for leading consumer brands. Its platform drives a 40% increase in incremental sales, a 20% improvement in profitability, and reduces out-of-stock rates by 32%.

Mighty AI

Series A in 2015
Mighty AI, Inc. is a provider of Training Data as a Service, specializing in delivering high-quality datasets for businesses developing computer vision and natural language processing models. Established in 2014 and headquartered in Seattle, Washington, with an additional office in Detroit, Michigan, the company operates a platform that connects a global community of individuals who perform micro tasks, such as object identification in images and sentiment analysis of text. This community enhances the accuracy and scalability of the data provided, as Mighty AI combines its proprietary machine learning technology with a suite of annotation software and managed services. The company primarily serves clients in sectors like autonomous vehicles, leveraging its expertise and resources to meet the evolving needs of its customers worldwide. In January 2017, the company rebranded from Spare5 Inc. to Mighty AI, and it is currently a subsidiary of Uber Technologies, Inc.

Turi

Series B in 2015
Turi is a machine learning platform based in Seattle, Washington, specializing in the development of big data analytics products. Originally launched as Dato in 2013 by a team including Danny Bickson, Haijie Gu, Yucheng Low, Joseph Gonzalez, and Carlos Guestrin, Turi has evolved from its initial focus on graph analysis to encompass a wide range of functionalities, including handling tables, text, and images. Its platform is widely utilized for various applications such as recommendation systems, fraud detection, and customer sentiment analysis. Turi's technology is employed by numerous notable clients, including e-tailers, service providers, and Fortune 5000 companies like Zillow, ExxonMobil, and Adobe, enabling them to build predictive applications and leverage data for enhanced decision-making.

Mighty AI

Seed Round in 2014
Mighty AI, Inc. is a provider of Training Data as a Service, specializing in delivering high-quality datasets for businesses developing computer vision and natural language processing models. Established in 2014 and headquartered in Seattle, Washington, with an additional office in Detroit, Michigan, the company operates a platform that connects a global community of individuals who perform micro tasks, such as object identification in images and sentiment analysis of text. This community enhances the accuracy and scalability of the data provided, as Mighty AI combines its proprietary machine learning technology with a suite of annotation software and managed services. The company primarily serves clients in sectors like autonomous vehicles, leveraging its expertise and resources to meet the evolving needs of its customers worldwide. In January 2017, the company rebranded from Spare5 Inc. to Mighty AI, and it is currently a subsidiary of Uber Technologies, Inc.

Algorithmia

Seed Round in 2014
Founded in 2013, Algorithmia provides a platform for deploying and managing machine learning models at scale. It enables algorithm developers to explore, create, and share algorithms as Web services, supporting popular frameworks like TensorFlow, PyTorch, and Scikit-learn. The company automates MLOps, empowering data scientists and developers while powering mission-critical workloads for its enterprise customers.

CommerceIQ

Series A in 2014
CommerceIQ specializes in Ecommerce Channel Optimization (ECO), using machine learning and automation to optimize e-commerce operations for leading consumer brands. Its platform drives a 40% increase in incremental sales, a 20% improvement in profitability, and reduces out-of-stock rates by 32%.

Turi

Series A in 2013
Turi is a machine learning platform based in Seattle, Washington, specializing in the development of big data analytics products. Originally launched as Dato in 2013 by a team including Danny Bickson, Haijie Gu, Yucheng Low, Joseph Gonzalez, and Carlos Guestrin, Turi has evolved from its initial focus on graph analysis to encompass a wide range of functionalities, including handling tables, text, and images. Its platform is widely utilized for various applications such as recommendation systems, fraud detection, and customer sentiment analysis. Turi's technology is employed by numerous notable clients, including e-tailers, service providers, and Fortune 5000 companies like Zillow, ExxonMobil, and Adobe, enabling them to build predictive applications and leverage data for enhanced decision-making.

Decide

Series C in 2013
Decide is a Seattle-based company that specializes in online shopping and price-information services. Founded by Prof. Oren Etzioni, a pioneer in internet search technology, the company utilizes advanced data mining techniques to analyze billions of data points from across the web. This allows Decide to assist consumers in identifying the highest-rated products and the optimal times to make purchases. With a track record of 80 percent accuracy in price predictions, Decide has facilitated approximately $200 million in consumer savings. The company's innovative approach combines insights on price drops, new product releases, and product ratings to enhance the shopping experience for its users. Backed by notable early investors from major tech companies, Decide continues to leverage its expertise to empower consumers in making informed purchasing decisions.

Decide

Series B in 2011
Decide is a Seattle-based company that specializes in online shopping and price-information services. Founded by Prof. Oren Etzioni, a pioneer in internet search technology, the company utilizes advanced data mining techniques to analyze billions of data points from across the web. This allows Decide to assist consumers in identifying the highest-rated products and the optimal times to make purchases. With a track record of 80 percent accuracy in price predictions, Decide has facilitated approximately $200 million in consumer savings. The company's innovative approach combines insights on price drops, new product releases, and product ratings to enhance the shopping experience for its users. Backed by notable early investors from major tech companies, Decide continues to leverage its expertise to empower consumers in making informed purchasing decisions.

Decide

Series A in 2010
Decide is a Seattle-based company that specializes in online shopping and price-information services. Founded by Prof. Oren Etzioni, a pioneer in internet search technology, the company utilizes advanced data mining techniques to analyze billions of data points from across the web. This allows Decide to assist consumers in identifying the highest-rated products and the optimal times to make purchases. With a track record of 80 percent accuracy in price predictions, Decide has facilitated approximately $200 million in consumer savings. The company's innovative approach combines insights on price drops, new product releases, and product ratings to enhance the shopping experience for its users. Backed by notable early investors from major tech companies, Decide continues to leverage its expertise to empower consumers in making informed purchasing decisions.

Farecast

Series C in 2007
Farecast is a fare-prediction service founded in 2003 that helps travelers determine the optimal time to purchase airline tickets. By analyzing 175 billion points of historical airfare data, Farecast predicts whether ticket prices will rise or fall up to a week in advance, boasting a success rate of 70-75%. This innovative approach distinguishes Farecast from other travel companies, as it is the only platform that offers such predictive capabilities. In addition to airfare predictions, Farecast has expanded its services to include hotel price comparisons, displaying results from various travel search sites on an interactive map. This feature helps users identify whether a hotel is overpriced or attractively priced, using color coding to highlight deals. Overall, Farecast aims to assist travelers in making informed decisions to save on travel costs.

Farecast

Series B in 2005
Farecast is a fare-prediction service founded in 2003 that helps travelers determine the optimal time to purchase airline tickets. By analyzing 175 billion points of historical airfare data, Farecast predicts whether ticket prices will rise or fall up to a week in advance, boasting a success rate of 70-75%. This innovative approach distinguishes Farecast from other travel companies, as it is the only platform that offers such predictive capabilities. In addition to airfare predictions, Farecast has expanded its services to include hotel price comparisons, displaying results from various travel search sites on an interactive map. This feature helps users identify whether a hotel is overpriced or attractively priced, using color coding to highlight deals. Overall, Farecast aims to assist travelers in making informed decisions to save on travel costs.

Farecast

Series A in 2004
Farecast is a fare-prediction service founded in 2003 that helps travelers determine the optimal time to purchase airline tickets. By analyzing 175 billion points of historical airfare data, Farecast predicts whether ticket prices will rise or fall up to a week in advance, boasting a success rate of 70-75%. This innovative approach distinguishes Farecast from other travel companies, as it is the only platform that offers such predictive capabilities. In addition to airfare predictions, Farecast has expanded its services to include hotel price comparisons, displaying results from various travel search sites on an interactive map. This feature helps users identify whether a hotel is overpriced or attractively priced, using color coding to highlight deals. Overall, Farecast aims to assist travelers in making informed decisions to save on travel costs.

Recraft

Recraft is a creative AI tool.

Yoodli

Yoodli is a platform that uses AI to provide real-time feedback on users' communication skills. It helps individuals improve their public speaking abilities by recording video presentations, identifying areas for improvement in word selection, eye contact, and gestures.

Statsig

Statsig is a modern product experimentation platform that enables businesses to optimize their decision-making through comprehensive digital product testing. Unlike traditional A/B testing tools, Statsig tracks the impact of every feature release, allowing teams to quantify the effects of their efforts. Its Product Observability feature helps teams identify metric drops shortly after launching new features, facilitating quick adjustments to improve performance. This capability empowers product developers to conduct numerous high-quality experiments and analyze user responses to new functionalities daily. Founded by a team with a background at Facebook, Statsig aims to enhance product velocity and efficiency by providing advanced data tools and infrastructure that promote informed decision-making in product development.

Wisdom AI

Wisdom AI is a data analytics company that provides AI services for data analysis.
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