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

Managing Director

Past deals in Predictive Analytics

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.

Cohesity

Series H in 2024
Cohesity develops hyper-converged secondary storage solutions that consolidate, protect, and share non-mission-critical data assets of large organizations. Its platform, Cohesity DataPlatform, converges data protection infrastructure including backup, replication, disaster recovery, and cloud tiering. Additionally, it offers Cohesity Helios, a SaaS-based management solution for monitoring and managing secondary data and applications.

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.

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.

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.

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.

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.

Tesorio

Series B in 2022
Tesorio, Inc. is a technology company based in Burlingame, California, that specializes in cash flow management solutions. Established in 2013, Tesorio has developed a cloud platform that utilizes machine learning to enhance financial operations for businesses. The platform provides comprehensive tools for analyzing accounts receivable and payable, forecasting cash flows, and improving payment processing for suppliers, vendors, and freelancers. By aggregating and structuring real-time data, Tesorio enables finance leaders to gain actionable insights, automate workflows, and optimize cash flow management. Its end-to-end capabilities facilitate better decision-making and cross-functional collaboration, allowing organizations to maintain capital efficiency while driving growth.

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.

Leaf Logistics

Series B in 2022
Leaf Logistics Inc. is a digital supply chain company that operates a freight contracting platform designed to facilitate a multi-party network of shippers, carriers, and logistics service providers. Founded in 2017 and based in New York, the company utilizes predictive analytics and artificial intelligence to enhance the management of transportation logistics. Its offerings include the Leaf Adapt platform, which helps shippers create resilient transportation plans, and Leaf Flex forward contracts that allow both shippers and carriers to secure value. By enabling members of its network to plan, coordinate, and execute logistics more efficiently, Leaf Logistics aims to improve service and cost predictability through binding digital contracts. The company's innovative approach positions it as a key player in modern freight contracting solutions.

Clari

Series F in 2022
Clari Inc. is a revenue operations platform based in Sunnyvale, California, founded in 2012. The company utilizes automation and artificial intelligence to consolidate and analyze activity data from various business systems, such as CRM, email, calendar, and marketing automation. This integration provides sales professionals with improved visibility into their deals and relationships, enabling them to close deals more efficiently and reduce manual reporting efforts. Clari's platform offers features like Activity Analytics, which delivers predictive insights and real-time data analysis, allowing sales teams and managers to optimize their strategies, enhance coaching, and effectively allocate resources. By streamlining revenue operations, Clari assists B2B companies, including notable clients like Qualtrics and Adobe, in forecasting business performance, managing pipelines, and minimizing customer churn.

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.

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.

Datacy

Seed Round in 2021
Datacy is a venture-backed company that specializes in providing a consumer insights data platform aimed at enhancing revenue growth for consumer packaged goods (CPG) in the digital commerce sector. The company empowers consumers by allowing them to control and monetize their personal data while offering businesses a comprehensive understanding of the factors influencing online shopping decisions. Datacy's platform features data collection, secure access, automated organization, and robust privacy measures, enabling clients to efficiently manage and analyze extensive online consumer behavior data. By connecting and interpreting billions of data points, Datacy reveals the intricate patterns and preferences that drive consumer choices, thereby offering valuable insights that facilitate strategic decision-making in digital marketing.

Clari

Series E in 2021
Clari Inc. is a revenue operations platform based in Sunnyvale, California, founded in 2012. The company utilizes automation and artificial intelligence to consolidate and analyze activity data from various business systems, such as CRM, email, calendar, and marketing automation. This integration provides sales professionals with improved visibility into their deals and relationships, enabling them to close deals more efficiently and reduce manual reporting efforts. Clari's platform offers features like Activity Analytics, which delivers predictive insights and real-time data analysis, allowing sales teams and managers to optimize their strategies, enhance coaching, and effectively allocate resources. By streamlining revenue operations, Clari assists B2B companies, including notable clients like Qualtrics and Adobe, in forecasting business performance, managing pipelines, and minimizing customer churn.

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.

Clari

Series D in 2019
Clari Inc. is a revenue operations platform based in Sunnyvale, California, founded in 2012. The company utilizes automation and artificial intelligence to consolidate and analyze activity data from various business systems, such as CRM, email, calendar, and marketing automation. This integration provides sales professionals with improved visibility into their deals and relationships, enabling them to close deals more efficiently and reduce manual reporting efforts. Clari's platform offers features like Activity Analytics, which delivers predictive insights and real-time data analysis, allowing sales teams and managers to optimize their strategies, enhance coaching, and effectively allocate resources. By streamlining revenue operations, Clari assists B2B companies, including notable clients like Qualtrics and Adobe, in forecasting business performance, managing pipelines, and minimizing customer churn.

Tesorio

Series A in 2019
Tesorio, Inc. is a technology company based in Burlingame, California, that specializes in cash flow management solutions. Established in 2013, Tesorio has developed a cloud platform that utilizes machine learning to enhance financial operations for businesses. The platform provides comprehensive tools for analyzing accounts receivable and payable, forecasting cash flows, and improving payment processing for suppliers, vendors, and freelancers. By aggregating and structuring real-time data, Tesorio enables finance leaders to gain actionable insights, automate workflows, and optimize cash flow management. Its end-to-end capabilities facilitate better decision-making and cross-functional collaboration, allowing organizations to maintain capital efficiency while driving growth.

Mobilewalla

Series B in 2018
Founded in 2011, Mobilewalla is a global leader in mobile audience insights. It offers a platform that tracks and interprets consumer behavior on mobile devices, enabling businesses to engage consumers' passions through data-driven marketing strategies. The company's proprietary compression algorithm allows for the storage, access, and analysis of vast amounts of data, providing clients with customized data streams and syndicated audience segments.

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.

Bizible

Venture Round in 2017
Bizible, Inc. is a Seattle-based company founded in 2011 that specializes in marketing attribution and planning software for business-to-business (B2B) organizations. The company provides a software-as-a-service (SaaS) platform that enables businesses to connect their marketing efforts directly to revenue outcomes. Bizible's technology tracks marketing interactions across various channels and unifies data from customer relationship management (CRM) systems, web analytics, and advertising networks. This comprehensive approach allows companies to gain insights into their marketing return on investment (ROI) and customer lifetime value (LTV). Bizible's offerings include revenue attribution tools that leverage machine learning to enhance marketing decisions and revenue planning capabilities for scenario analysis. The company serves a diverse range of industries, including higher education, healthcare, technology, and manufacturing, and has established partnerships to integrate its analytics platform with other tools, notably Salesforce.com, to enhance the alignment of marketing and sales efforts.

Cedexis

Series B in 2016
Cedexis Inc. is a company that specializes in Internet performance control and monitoring solutions. Founded in 2009 by veterans of the web hosting and content delivery market, Cedexis provides a suite of tools designed to optimize web performance across various data centers, delivery networks, and clouds. Its flagship products include Cedexis Radar, a traffic management platform; Cedexis Openmix, a data-driven cloud routing platform that directs traffic based on real-time performance data; and Cedexis Pulse, which allows users to access application-specific information. The company offers adaptive automation to optimize traffic dynamically, ensuring that businesses can select the best-performing clouds for their needs. Cedexis is particularly valuable for media, retail, and consumer brands that depend on high availability and fast load times to enhance user experience and drive revenue. Headquartered in Portland, Oregon, Cedexis also has offices in Paris, San Francisco, and sales representatives across multiple countries including the United Kingdom and Germany.

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.

Bizible

Series B in 2014
Bizible, Inc. is a Seattle-based company founded in 2011 that specializes in marketing attribution and planning software for business-to-business (B2B) organizations. The company provides a software-as-a-service (SaaS) platform that enables businesses to connect their marketing efforts directly to revenue outcomes. Bizible's technology tracks marketing interactions across various channels and unifies data from customer relationship management (CRM) systems, web analytics, and advertising networks. This comprehensive approach allows companies to gain insights into their marketing return on investment (ROI) and customer lifetime value (LTV). Bizible's offerings include revenue attribution tools that leverage machine learning to enhance marketing decisions and revenue planning capabilities for scenario analysis. The company serves a diverse range of industries, including higher education, healthcare, technology, and manufacturing, and has established partnerships to integrate its analytics platform with other tools, notably Salesforce.com, to enhance the alignment of marketing and sales efforts.

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.

Mobilewalla

Series A in 2013
Founded in 2011, Mobilewalla is a global leader in mobile audience insights. It offers a platform that tracks and interprets consumer behavior on mobile devices, enabling businesses to engage consumers' passions through data-driven marketing strategies. The company's proprietary compression algorithm allows for the storage, access, and analysis of vast amounts of data, providing clients with customized data streams and syndicated audience segments.

Bizible

Series A in 2012
Bizible, Inc. is a Seattle-based company founded in 2011 that specializes in marketing attribution and planning software for business-to-business (B2B) organizations. The company provides a software-as-a-service (SaaS) platform that enables businesses to connect their marketing efforts directly to revenue outcomes. Bizible's technology tracks marketing interactions across various channels and unifies data from customer relationship management (CRM) systems, web analytics, and advertising networks. This comprehensive approach allows companies to gain insights into their marketing return on investment (ROI) and customer lifetime value (LTV). Bizible's offerings include revenue attribution tools that leverage machine learning to enhance marketing decisions and revenue planning capabilities for scenario analysis. The company serves a diverse range of industries, including higher education, healthcare, technology, and manufacturing, and has established partnerships to integrate its analytics platform with other tools, notably Salesforce.com, to enhance the alignment of marketing and sales efforts.

Cedexis

Series A in 2011
Cedexis Inc. is a company that specializes in Internet performance control and monitoring solutions. Founded in 2009 by veterans of the web hosting and content delivery market, Cedexis provides a suite of tools designed to optimize web performance across various data centers, delivery networks, and clouds. Its flagship products include Cedexis Radar, a traffic management platform; Cedexis Openmix, a data-driven cloud routing platform that directs traffic based on real-time performance data; and Cedexis Pulse, which allows users to access application-specific information. The company offers adaptive automation to optimize traffic dynamically, ensuring that businesses can select the best-performing clouds for their needs. Cedexis is particularly valuable for media, retail, and consumer brands that depend on high availability and fast load times to enhance user experience and drive revenue. Headquartered in Portland, Oregon, Cedexis also has offices in Paris, San Francisco, and sales representatives across multiple countries including the United Kingdom and Germany.

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.

Yieldex

Series B in 2009
Yieldex is a prominent provider of digital advertising forecasting, analytic pricing, and inventory management tools tailored for online publishers and advertisers. The company offers Yieldex Analytics, which delivers forward-looking insights that enable publishers to optimize their operations, save time, and enhance revenue generation. Additionally, Yieldex operates YieldexDirect, a programmatic marketplace that facilitates the buying and selling of targeted, guaranteed advertising inventory, providing a centralized platform for both advertisers and publishers. The company’s DynamicIQ service supports decision-making by offering insights into inventory availability and revenue forecasts for various products, while BusinessIQ provides analytic reports and dashboards that assist publishers in managing their operations and strategic planning. Yieldex's solutions are utilized by leading media organizations, enhancing their digital advertising strategies and maximizing their advertising value.

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.

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.
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