Company Profile: Fiveonefour

Background

Overview

Founded in October 2023 and headquartered in Portland, Oregon, Fiveonefour is a privately held company specializing in data engineering solutions. The company focuses on providing frameworks, tools, and infrastructure that enable development teams to build data-intensive features, products, and solutions without the need to expand headcount or hire specialized data engineers.

Mission and Vision

Fiveonefour's mission is to enhance the developer experience within the data and analytics domain by offering modern, AI-native tools that simplify the complexities of data engineering. The company envisions a future where data engineers are seamlessly integrated into the broader engineering ecosystem, utilizing standardized frameworks and best practices to deliver high-quality data products efficiently.

Industry Significance

In an era where data-driven decision-making is paramount, Fiveonefour addresses the critical need for efficient and scalable data engineering solutions. By automating complex workflows and providing developer-friendly tools, the company empowers organizations to harness the full potential of their data assets, thereby driving innovation and competitive advantage.

Key Strategic Focus

Core Objectives

Accelerate Development: Enable rapid prototyping and deployment of data-intensive applications.

Simplify Data Engineering: Provide tools that reduce the complexity of building and managing data pipelines.

Enhance Developer Experience: Offer frameworks that integrate seamlessly into existing development workflows.

Areas of Specialization

AI-Driven Automation: Utilizing artificial intelligence to automate data engineering tasks.

Open-Source Frameworks: Developing and maintaining open-source tools like Moose for data pipeline development.

Managed Infrastructure: Offering Boreal, a hosting platform for deploying Moose applications.

Key Technologies Utilized

Moose: An open-source analytical framework that provides standardized, composable backend components for data applications.

Boreal: A managed infrastructure platform that hosts Moose applications while allowing clients to retain ownership of their data infrastructure.

Aurora: A suite of AI agents designed to automate complex data engineering workflows, including API generation and data transformation.

Primary Markets Targeted

Technology Companies: Organizations seeking to build data-intensive features without expanding their engineering teams.

Enterprises: Large organizations aiming to modernize their data infrastructure and improve analytics capabilities.

Startups: Emerging companies looking for scalable and cost-effective data engineering solutions.

Financials and Funding

Funding History

Seed Round: On October 11, 2023, Fiveonefour raised $6.11 million in a seed funding round.

Venture Round: On July 9, 2025, the company secured additional funding in a venture round.

Notable Investors

Flybridge Capital Partners: Participated in the seed funding round.

Dimension Capital: Also invested during the seed round.

Other Investors: Including Ridge Ventures, Clever, Levy, Chime, Metaphor, Google Play, and Stripe.

Utilization of Capital

The funds raised are intended to support product development, expand the engineering team, and enhance the company's AI-driven data engineering solutions.

Pipeline Development

Key Products

Aurora AI Agents: Launched publicly on April 3, 2025, Aurora is a suite of AI agents that automate engineering workflows, enabling rapid productization and operationalization of proprietary data.

Moose Framework: An open-source analytical framework that provides standardized, composable backend components for data applications.

Boreal Platform: A managed infrastructure platform that hosts Moose applications while allowing clients to retain ownership of their data infrastructure.

Target Conditions

These products are designed to address challenges in data engineering, such as:

Automating repetitive tasks.

Accelerating development cycles.

Reducing infrastructure costs.

Timelines for Milestones

Aurora AI Agents: Public launch in April 2025, with plans to expand capabilities in future releases.

Moose Framework: Ongoing development with continuous updates and community contributions.

Boreal Platform: Available for deployment, with enhancements planned based on user feedback.

Technological Platform and Innovation

Proprietary Technologies

Aurora AI Agents: Automate complex data engineering workflows by interacting directly with code, data systems, frontend visualizations, and infrastructure to generate production-ready APIs and execute transformations.

Significant Scientific Methods

Machine Learning Algorithms: Utilized within Aurora to automate data engineering tasks and optimize analytics.

Data Pipelines: Standardized and composable components provided by Moose for efficient data processing.

Leadership Team

Executive Profiles

Tim Delisle: CEO and Co-founder. Formerly led global data engineering at Nike, bringing extensive experience in data infrastructure and analytics.

Chris Crane: CPO and Co-founder. Previously held roles in enterprise data and analytics at Nike, contributing deep expertise in data strategy and product development.

Nicolas Joseph: CTO and Co-founder. Brings a strong technical background in data engineering and software development.

Key Contributions

The leadership team has been instrumental in developing Fiveonefour's core products, securing funding, and establishing strategic partnerships to drive the company's growth.

Leadership Changes

As of July 17, 2025, there have been no significant changes or appointments within the company's leadership team.

Competitor Profile

Market Insights and Dynamics

The data engineering solutions market is experiencing rapid growth, driven by the increasing demand for data-driven decision-making and the proliferation of data-intensive applications. Organizations are seeking efficient, scalable, and cost-effective solutions to manage complex data workflows.

Competitor Analysis

Key competitors in the data engineering space include:

Databricks: Offers a unified analytics platform that combines data engineering, data science, and machine learning.

Snowflake: Provides a cloud-based data warehousing solution with scalable storage and compute resources.

Airflow: An open-source platform for orchestrating complex computational workflows.

These competitors focus on various aspects of data engineering, such as data storage, processing, and workflow orchestration.

Strategic Collaborations and Partnerships

Significant Collaborations

F45 Training: Partnered with Fiveonefour to enhance the LionHeart heart rate tracking system, resulting in a 10x acceleration in analytics development and a 50% reduction in data infrastructure costs.

Impact on Market Position

Such collaborations demonstrate Fiveonefour's ability to deliver tangible business outcomes and strengthen its position in the data engineering solutions market.

Operational Insights

Strategic Considerations

Competitive Advantages: Fiveonefour's AI-driven automation and developer-friendly tools differentiate it from competitors by enabling faster development cycles and reducing the need for specialized data engineering talent.

Market Position: The company's focus on simplifying data engineering positions it as a valuable partner for organizations seeking to leverage data without significant resource investments.

Strategic Opportunities and Future Directions

Strategic Roadmap

Product Expansion: Continue enhancing Aurora's capabilities and expanding the suite of AI agents to cover a broader range of data engineering tasks.

Market Penetration: Target additional industries such as healthcare, aerospace, and manufacturing to diversify the client base.

Partnerships: Establish strategic alliances with cloud service providers and technology companies to integrate Fiveonefour's solutions into broader ecosystems.

Future Business Directions

By leveraging its strengths in AI-driven automation and developer-centric tools, Fiveonefour aims to become a leading provider of data engineering solutions, enabling organizations to build and scale data-intensive applications efficiently.