Developing data-intensive applications requires stitching together complex, expensive, and often insecure infrastructure and tools, demanding specialized data teams and increasing development time. Teams face challenges with boilerplate configuration, long iteration cycles due to clunky local development workflows, and fragmented tooling that leads to communication overhead.

Fiveonefour offers a developer framework, Moose, and a hosting platform, Boréal, designed to streamline the creation and management of data-intensive applications. Moose is an open-source framework that enables developers to quickly build data products and APIs using familiar languages like TypeScript and Python on OLAP and streaming infrastructure. Boréal provides a platform to securely deploy and scale analytical workloads into production with one-click deployment, integrating with existing CI/CD pipelines. Fiveonefour abstracts away build-time and infrastructure complexity, allowing development teams to focus on building scalable features and enterprise-grade data products without the need for specialized data teams.

Moose: An open-source developer framework for building analytical backends with TypeScript and Python.

Boréal: A cloud hosting platform for deploying and scaling analytical workloads with one-click deployment.

Aurora AI: AI agents for extracting insights from data and generating production data products and APIs.

Local-first development: Run the full production stack locally for rapid iteration and validation.

Framework abstractions: Focus on business logic while the framework handles boilerplate code.

Data APIs and data products: Translate queries and views into secure, parameterized API endpoints.

AI copilots: Integrate AI agents with IDEs and LLM chat apps for enhanced productivity.

Enterprise-grade architecture: SOC2 certified, HIPAA ready, with BYOC (Bring Your Own Cloud) options.

Managed ClickHouse & Redpanda: Out-of-the-box, high-performance analytical infrastructure.

Fiveonefour targets development teams building data-intensive features, products, and solutions, including real-time leaderboards, personalized recommendations, customer 360 views, and industry 4.0 applications.