Genesis Computing uses agentic AI to automate data pipelines
Genesis Computing leverages agentic AI to simplify data operations with Snowflake-native agents, automating complex pipeline tasks for enterprises.
Former Snowflake executives Matt Glickman and Stefan Williams have launched Genesis Computing, a startup focused on simplifying data operations through agentic AI. The company, backed by $5 million in seed funding from Snowflake Ventures and other investors, aims to automate the labor-intensive process of building and managing data pipelines.
The Genesis of Genesis Computing
- Founders: Matt Glickman (CEO) and Stefan Williams (VP, Snowflake Ventures) left Snowflake to address the high burnout rates among data engineers.
- Mission: Use AI agents to automate complex data pipeline tasks, reducing manual workload and improving efficiency.
Key Highlights
- Agentic AI on Snowflake: Genesis builds its AI agents on Snowflake’s Cortex AI, leveraging the platform’s robust infrastructure to deliver scalable solutions.
- Customer Interest: Early adopters, including a healthcare client, have already seen the potential of Genesis’ agents to outperform traditional systems integrators.
- Snowflake Native App: By deploying as a native app on Snowflake, Genesis bypasses lengthy procurement cycles, gaining faster access to enterprise customers.
Why It Matters
- Data Pipeline Challenges: Data engineers often face overwhelming workloads, making automation a critical need.
- Snowflake’s Ecosystem: Genesis benefits from Snowflake’s existing customer base, including Fortune 500 companies like Apple, Walmart, and Amazon.
Quotes
- Matt Glickman: "I’ve never met a data engineer who said, ‘Please don’t help me take away the workload I have.’"
- Stefan Williams: "When you’re containerizing your application and deploying it in the customer Snowflake environment, you don’t have to go through all the data governance and security hurdles."
Watch the Interview
For more details, visit Genesis Computing.
Photo: SiliconANGLE
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About the Author
Alex Thompson
AI Technology Editor
Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.