Fiveonefour, a Portland-based startup founded in 2023 by former Nike engineers, has raised $17 million to expand its suite of developer tools for building AI-ready data infrastructure. The latest funding round, led by Dimension Capital with participation from Stage 2 Capital, Flybridge Capital Partners, Ridge Ventures, Tokyo Black Venture Capital, and Vermillion Cliffs, will support enterprise adoption, deepen technical partnerships, and grow its open-source community.
The company was started by CEO Tim Delisle, who previously sold his first venture, Datalogue, to Nike in 2021 before leading enterprise data engineering there. He co-founded Fiveonefour with Chris Crane and Nicolas Joseph, both of whom also worked at Nike, with the aim of making it easier for developers to integrate analytics and AI infrastructure into applications without sacrificing performance.
“Modern analytical use cases need more than a classic data warehouse with some dashboards,” Delisle said. “AI agents and custom applications demand flexible, performant infrastructure coupled with developer and AI-friendly software interfaces like APIs and MCPs.”
Building for AI-Ready Workloads
Fiveonefour’s offering is the Moose Stack, an open-source toolkit in TypeScript and Python that abstracts away the complexity of managing databases and pipelines. The stack allows software teams to embed analytics directly into applications. Installations of Moose Stack have been doubling month over month, according to the company, with early adoption across healthcare, manufacturing, and connected fitness.
The broader product line includes Boreal, a managed cloud platform, and Sloan, AI agents and tooling for analytics. Earlier this year, the company introduced Aurora, a suite of AI agents designed to automate data engineering workflows. Aurora has been used by fitness chain F45 Training to scale its LionHeart biometric system. According to F45, the integration accelerated analytics development by 10x, reduced infrastructure costs by half, and increased app engagement by 19 percent.
“Fiveonefour enabled us to rapidly scale LionHeart, bringing powerful analytics directly to our members,” said Greg Solak, Head of Engineering at FIT / F45 Training.
Competing With a Small Team
With just 19 employees and a remote-first structure, the company has so far concentrated on product adoption rather than scaling headcount. The leadership team points to GitLab and Atlassian as models for running distributed organizations effectively.
Investors see the opportunity in Fiveonefour’s developer-first approach. “In a world of AI hype, Fiveonefour is unlocking one of the biggest challenges in the enterprise today: developing and leveraging a solid data foundation to solve real problems with AI,” said Nan Li, founder and managing partner at Dimension Capital.
Rather than competing head-on with incumbents like Snowflake or Databricks, Fiveonefour emphasizes ease of integration with widely used systems such as ClickHouse, Kafka, RedPanda, Temporal, and Redis. Its founders believe this strategy positions the company as complementary to existing data infrastructure while addressing a growing demand for AI-native developer tools.
IDC forecasts global spending on AI-enabling technologies will reach $337 billion in 2025, with most large enterprises expected to adopt high-performance data systems by 2027. Citing Databricks and Snowflake as examples of firms that became indispensable to developers without being consumer-facing brands, Delisle has described the company’s potential as a “platform play.”
