Genesis Computing

Genesis Computing delivers autonomous AI Data Agents built for enterprise data engineering teams. The agents research source systems to understand schemas and business logic, design field mappings from bronze source data to gold analytics targets, write and test dbt models and data pipelines, create comprehensive documentation, commit code to Git with pull requests, monitor pipeline execution, and automatically fix errors while continuously learning from your environment.

Founded in 2024 and built by early Snowflake employees Matt Glickman and Justin Langseth, with decades of experience building enterprise data platforms at Snowflake and Goldman Sachs, Genesis helps data engineering teams accelerate work that used to take months down to hours.

Genesis Data Agents start by building a digital twin of your data infrastructure to understand every table, pipeline, dependency, and integration, and then use that context to execute complete workflows from discovery through deployment. Organizations across financial services, healthcare and life sciences, media, retail, manufacturing, and technology rely on Genesis to reduce pipeline development cycles by up to 95%, cut manual work by 60-70%, and free hundreds of engineering hours from repetitive tasks.

Genesis runs as a Snowflake Native Application or deploys in AWS, Azure, Databricks, or Docker environments, ensuring your data never leaves your control while working seamlessly with dbt, Airflow, and your existing data stack. Genesis follows proven Blueprint methodologies with built-in quality gates and validation steps to ensure reliable, production-grade outcomes every time.

Join data leaders already multiplying their team's capacity with intelligent agents that understand enterprise data complexity and deliver measurable results from day one.