AI Data Engineers That Complete the Work

We're three months into building Tower Peak as an agentic firm and the productivity gains are already structural, not incremental. The choice to run everything inside Snowflake Cortex with Genesis Computing as our agent platform was deliberate — we wanted agents that live inside our data, not adjacent to it, with no compromise on the compliance posture a PE firm must maintain.

The aha moment was seeing the agents generate a complex model in minutes that would have taken a data architect days to draft and refine. My team was initially skeptical, but when they saw the accuracy of the output against our production standards, that skepticism turned into excitement. We realized right then that we had unlocked a fundamental shift in our delivery velocity.

I brought up my data warehouse concept and started typing to Genesis in natural language: here's the schema I have in mind, here's the GitHub repo, start building this.
Genesis was rolling out commit after commit on that repo. Two hours later I was done. I had the prototype for the data warehouse. I said: this is the tool we're going to use.

Genesis is helping us automate routine work across our core data team while unlocking the hidden data workforce across the business.
For certain workflows, Genesis has helped us complete data tasks up to 40x faster.”

We are dealing with the ramifications of the Iran conflict, which has required ingesting a significant amount of new data — with speed of access being critical. We would not have been able to do it without Genesis. It's brought tangible value during a time of great need.

Over the past year, AI agents have gone from unheard of to one of the key building blocks to increasing AI productivity and unlock insights that deliver real business value. Genesis Computing’s founders have taken advantage of this opportunity by building their autonomous data agents natively on the Snowflake AI Data Cloud, enabling them to accelerate adoption through instant access to thousands of enterprises that depend on the security and governance of the Snowflake platform.

We’re seeing the demand for intelligent automation in enterprise data workflows skyrocket over the past two years. Genesis Computing’s autonomous data agents deliver precisely what these enterprises need: scalable, production-ready AI knowledge workers that boost productivity and ROI. Matt and Justin are incredible entrepreneurs and have their fingers on the pulse of what these large enterprises need having worked at stellar organizations in the past.

The modern data stack unlocked unprecedented scale and efficiency for organizations, but the next step will be making AI a first-class participant in agentic enterprise workflows. By leveraging AI Agents, Genesis is enabling businesses to automate their complex data operations. I believe their approach represents the next big shift in the data space.