Data & Infrastructure
Why we invest
Data and infrastructure that help create, manage, label, and store data are crucial to building applications and making better business decisions. With the rise in Generative AI, applications are being built in new ways that impose new requirements on the underlying infrastructure. Madrona strongly believes that as data proliferates and gets more complex, new requirements will emerge to efficiently store, process, protect, and make decisions with that data. With our extensive experience in this domain, Madrona helps companies find product-market fit, develop go-to-market strategies, and build robust teams to drive sustainable long-term growth.
MotherDuck’s
Joran Tigani
on shaping serverless data with DuckDB 
Unstructured’s
Brian Raymond
on tackling engineering bottlenecks 
Fauna’s
Eric Berg
on building an infrastructure business to scale 
RelationalAI’s
Molham Aref
on finding investors who believe in your passion Data & Infrastructure
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CloudCoreo was a next-generation cloud management platform that enabled DevOps and SecOps teams to scale efficiently within and across cloud providers.Initial Investment2016CloudCoreo was a next-generation cloud management platform that enabled DevOps and SecOps teams to scale efficiently within and across cloud providers.FoundersJason Needham
Paul AllanInvestment JourneyAcquired by VMware 2018Initial Investment2016 -
Codified provides a simple, fast experience for tools and humans to request access to data, delivering customers the ability to access data in accordance with all the rules of the company.
Initial Investment2023Codified provides a simple, fast experience for tools and humans to request access to data, delivering customers the ability to access data in accordance with all the rules of the company.
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EdgeRunner AI is on a mission to build generative AI for the edge that is safe, secure, and transparent. EdgeRunner AI develops small, task-specific ultra-efficient language models (UELMs) that operate without needing internet access, improving data privacy, security, and compliance. By providing generative AI solutions that run locally on any device or hardware, EdgeRunner AI enables enterprises and organizations to leverage AI technology responsibly, without compromising performance or security.Initial Investment2024EdgeRunner AI is on a mission to build generative AI for the edge that is safe, secure, and transparent. EdgeRunner AI develops small, task-specific ultra-efficient language models (UELMs) that operate without needing internet access, improving data privacy, security, and compliance. By providing generative AI solutions that run locally on any device or hardware, EdgeRunner AI enables enterprises and organizations to leverage AI technology responsibly, without compromising performance or security.FoundersTyler Xuan Saltsman
Colton MalkersonInitial Investment2024 -
Integris was a data risk intelligence solution that enables companies to discover, classify and control how they use customer data.Initial Investment2016Integris was a data risk intelligence solution that enables companies to discover, classify and control how they use customer data.FoundersKristina Bergman
Uma Raghavan
Raghuram GollamudiInvestment JourneyAcquired by OneTrust 2020Initial Investment2016 -
Mighty AI delivers the human insights artificial intelligence (AI) engines need to see, hear, talk and “think” like humans. Its Training Data as a ServiceTM platform helps companies get the accurate, high-quality data sets they need to train and scale their computer vision and natural language models. Mighty AI was incubated with Madrona Venture Labs.Initial Investment2014Mighty AI delivers the human insights artificial intelligence (AI) engines need to see, hear, talk and “think” like humans. Its Training Data as a ServiceTM platform helps companies get the accurate, high-quality data sets they need to train and scale their computer vision and natural language models. Mighty AI was incubated with Madrona Venture Labs.FoundersMatthew Bencke
Daryn Nakhuda
Patrick O'Donnell
Matt ShobeInvestment JourneyAcquired by Uber 2019Initial Investment2014 -
MontyCloud is a multi-cloud management and governance company.Initial Investment2019MontyCloud is a multi-cloud management and governance company. -
MotherDuck makes analytics fun, frictionless, and ducking awesome. In partnership with the team building open-source database DuckDB, MotherDuck was founded by former leaders at some of the most innovative companies in data. It is on a mission to combine the elegance and speed of DuckDB with the collaboration and scalability of the cloud to provide a serverless, easy-to-use data analytics platform for data, small and large.Initial Investment2022MotherDuck makes analytics fun, frictionless, and ducking awesome. In partnership with the team building open-source database DuckDB, MotherDuck was founded by former leaders at some of the most innovative companies in data. It is on a mission to combine the elegance and speed of DuckDB with the collaboration and scalability of the cloud to provide a serverless, easy-to-use data analytics platform for data, small and large. -
Spice AI is the fastest, smartest, and easiest way to access web3 data and to build data and AI-driven apps. Spice AI removes the complexity of managing AI infrastructure, providing developers and engineers with the technology and tools to deliver the next generation of apps.Initial Investment2021Spice AI is the fastest, smartest, and easiest way to access web3 data and to build data and AI-driven apps. Spice AI removes the complexity of managing AI infrastructure, providing developers and engineers with the technology and tools to deliver the next generation of apps. -
Visual Layer is a visual asset management platform for the era of generative AI. With Visual Layer you can simplify visual data ops, ingest data from any source, gain insights, and automatically find and fix data quality issues.Initial Investment2023Visual Layer is a visual asset management platform for the era of generative AI. With Visual Layer you can simplify visual data ops, ingest data from any source, gain insights, and automatically find and fix data quality issues.