Genesis

Genesis Computing develops what it calls Genesis Data Agents: pre-trained, autonomous AI agents intended to perform data engineering work inside a customer's own enterprise environment, using the customer's existing tools and methods. The system is positioned as an agentic data engineering layer that runs in customer-managed environments and operates alongside data platforms such as Snowflake, AWS and Databricks, rather than replacing them.

The product workflow described by the company has three stages: agents are onboarded by connecting to repositories, databases and tools to map data flows and capture team knowledge in a "Context Graph"; users then select or author "Blueprints" that define a data workflow with steps, conditions and early exits; and "Missions" coordinate agents and human staff around a defined goal, scope and success criteria, with tasks used to verify each step. Genesis states that its agents connect to and orchestrate data across any data warehouse, ETL framework, application or API, listing Snowflake, BigQuery, Redshift, Azure Fabric, Databricks, dbt, Airflow, Jira and GitHub among integrations. Earlier product work is referenced as the Genesis Bots Snowflake Native App and the GenBots/BotOS platform.

The company targets enterprises and digital-first companies with complex data pipelines and long-lived systems, citing financial services, healthcare, media and retail as focus industries. Published customer stories cover a digital bank, a telecommunications operator, a private equity technology firm, a technology company and hedge funds.

Founding story

According to the company, Genesis Computing was founded in April 2024 by Matt Glickman and Justin Langseth, both early Snowflake employees whose collaboration began at Snowflake in 2018, where they worked on the Snowflake Data Marketplace. Glickman previously led development of business-critical analytics at Goldman Sachs for over 20 years before joining Snowflake to run product management; Langseth worked on Snowflake's data marketplace launch and AI strategy, previously co-founded Zoomdata and Clarabridge, holds 51 technology patents and studied Management of Information Technology at MIT. The founders describe the company as built by data engineers to accelerate enterprise data engineering and preserve institutional knowledge.

Business model

Genesis sells an agentic data engineering system to enterprises, deployed inside customer-managed environments and integrated with the customer's existing data platforms and tooling. Distribution includes a Snowflake Native App, giving access to enterprises already using the Snowflake AI Data Cloud, and the site offers a self-serve trial alongside demo requests.

Traction

Company-published case studies report outcomes including GXS Bank compressing a data delivery cycle from about three months to five hours with 95% reduced SDLC friction and 400+ hours of manual work freed; Globe Telecom citing 10x faster pipeline delivery, 43% productivity improvement and 70% faster engineer onboarding; GrowthZone reporting a 3-5x migration capacity increase and avoidance of a $300,000-$450,000 hiring plan; a New York hedge fund reporting a 60-70% reduction in human-written code and roughly $200,000 in annual headcount avoidance; Tower Peak Partners building core data foundations in four months and avoiding 5-10 hires; and a Fortune 100 pharmaceutical company reporting certain data tasks completed up to 40x faster.

Latest developments

The company website features a customer story dated August 17, 2026 about Tower Peak Partners building a compliant private markets data platform, a June 23, 2026 story on Globe Telecom, and a February 27, 2026 story on GrowthZone, alongside a CEO podcast appearance on Super Data Science dated April 7, 2026.