About Us

Accelerating
the Enterprise Data
Workforce

AI-Powered. Customer-Driven.

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// SCALE_DATA_ENGINEERING

> Assign specialized AI engineers

> Build components in parallel

> Merge into production pipeline

Result: Delivery Accelerated

Why we exist

Scale Data
Engineering Faster

Enterprise data teams are asked to migrate legacy systems, build pipelines, and keep complex environments running while demand for new work keeps growing. Hiring alone cannot keep pace. Teams need a way to take on more work without losing the expertise, context, and oversight that enterprise data requires.

// AI_DATA_ENGINEERS

> Analyze enterprise context

> Monitor production telemetry

> Deliver production solutions

Result: Enterprise Optimized

What we’ve built

Your AI Data
Engineering Team

Genesis brings together AI data agents, the Context Graph, and verification through Prover. Our agents run inside your environment and use your tools, standards, and permissions to carry out data engineering work. Your team guides the work, reviews the results, and stays in control.

// LIVING_INTELLIGENCE

> Observe business signals

> Generate new insights

> Continuously evolve systems

Result: Intelligence Evolved

Where we’re going

Living Enterprise
Intelligence

Every project reveals more about how your data, systems, and rules fit together. That knowledge doesn’t disappear when the work is done. It compounds, so each project starts smarter than the last, and agents can take on more of the business over time.

Customer Zero

Genesis Runs on Genesis

We rely on Genesis for every feature, testing it daily before it reaches our customers.

Finance

Finance reporting pipelines automated end-to-end, no manual spreadsheet extracts

Marketing

Marketing attribution powered by Genesis Enterprise Context Graph

Sales

Sales pipeline enriched and maintained by Genesis agents

Operations

Engineering deployments monitored by agentic operations

Engineering

Pipeline failures diagnosed automatically with root-cause analysis

Our Story

Decades of Experience. Engineered to Last.

Genesis was founded in 2024 by Matt Glickman and Justin Langseth. Their experience, together with that of the team they’ve assembled, spans enterprise data systems, engineering, product development, and customer delivery. They built Genesis around a problem they knew firsthand: even with modern data platforms, getting complex data work done still takes too much time and manual effort.

Before Genesis
Learning Where Data Work Gets Stuck
Matt was a Managing Director at Goldman Sachs, where he spent 24 years overseeing fixed income, equities, and asset management platforms. Justin founded several data and software companies, including Clarabridge, later acquired by Qualtrics for $1.1B. Both saw that demand for data kept growing, and how complex it was to build systems that could put enterprise data to work reliably.
At Snowflake
Building for a New Generation of Data Teams
Matt and Justin helped build Snowflake’s product and marketplace capabilities. They saw what a modern data platform made possible and the work customers still faced in understanding legacy systems, building pipelines, and carrying knowledge from one project to the next.
2024
Genesis Is Founded
After winning their fifth straight Snowflake hackathon with an AI assistant they built for the platform, Matt and Justin saw that AI could finally do real enterprise data work. They set out to build agents that work inside an enterprise’s data environment and use its own context to get the job done. Within weeks, Genesis had its first agents live on Snowflake Marketplace, in time for Snowflake Summit 2024.
2025
The Team Grows. Agents Go to Work.
Genesis brought together deep experience in data engineering, enterprise software, and customer delivery. Anton Gorshkov joined to lead engineering, bringing more than two decades of experience at Goldman Sachs. Vince Trotta joined to lead sales after a decade at Snowflake. Genesis agents moved into production use across regulated industries such as financial services, healthcare, pharmaceuticals, and telecommunications.
Enterprise Security, Built In
The Genesis platform operates within each customer’s existing security perimeter. Jonathan Sander joined from Snowflake, bringing decades of experience across software, data, identity, and cybersecurity to guide our security strategy and build it into every part of the platform.
2026
Context at the Core
Genesis’s Context Graph is a digital twin of your data landscape, connecting every codebase, pipeline, database, and SaaS tool at the level of data and intent. It captures not just what changed but why. That gives our agents full context, with no ramp-up and no lost tribal knowledge, and the graph grows with each interaction.
Prover to Trust the Work
As agents take on more complex work, they need to do more than understand enterprise systems and how their data connects. They need to show the results are right. Prover by Genesis independently checks outcomes and flags discrepancies for correction and review, so you can trust the completed work.

See Genesis in Action

Try It Now

The Team

The Minds Behind the Machine

Leadership

Matt Glickman

Chief Executive Officer

Enterprise data platform leader. Led analytics at Goldman Sachs for 20+ years, ran Product Management at Snowflake, launched the Data Marketplace, and now builds AI workers for enterprises.

Leadership

Justin Langseth

Chief Technology Officer

Serial founder with three successful exits: Claraview (sold to Teradata), Clarabridge (sold to Qualtrics for $1.125B), and Zoomdata (sold to Logi Analytics). 51 technology patents. MIT graduate.