About us

Two co-founders who met in their first week at the University of Virginia, building the data-cleaning work of a data engineer for organizations that don't have one.

Zackary Holt

Zackary
Holt

Co-Founder, CEO & CTO

Zack founded Karg on the belief that the next generation of intelligent software should do more than analyze data, it should be capable of fixing it. What began in January 2026 as his research into machine learning for data preparation evolved into Karg's agentic data infrastructure, combining specialized ML models with autonomous AI agents to resolve the inconsistencies that make enterprise data unreliable. He leads the architecture and development of Karg's core technology, drawing on his experience at IBM's Data & AI Expert Labs, where he engineered AI-powered systems to consolidate, standardize, and reconcile enterprise information across disconnected platforms. A fourth-year student at the University of Virginia's McIntire School of Commerce, he studies Finance and Information Technology, specializing in AI Analytics and Data Science.

Antranig Kasbarian

Antranig
Kasbarian

Co-Founder, COO & CFO

Ant leads Karg's commercial strategy, customer relationships, and operations, focused on turning sophisticated technology into solutions businesses can depend on. His entrepreneurial experience began with building Trillionaire Estates, a real estate media brand he grew to more than 360,000 Instagram followers, developing a firsthand understanding of how to identify opportunities, build audiences, and scale a business. During his time in Goldman Sachs's Global Markets division, he witnessed a striking contradiction: even the world's most sophisticated financial institutions still relied on fragmented legacy systems and manual data reconciliation. That experience reinforced the opportunity behind Karg, to bring intelligent automation to the operational problems that traditional enterprise software has left unresolved. He is a fourth-year student at the University of Virginia's McIntire School of Commerce.

Why we built Karg

In data science coursework and in university research labs, we watched people spend most of their hours cleaning data before anyone could analyze it. In January 2026 that became a research thesis: could machine learning and AI agents do that preparation reliably, and show their work?

Then we asked businesses. Organizations without a data team described the same problem again and again: records fixed by hand in spreadsheets, or left messy because no one had the time. Karg is built for them, as software their team can run or as a service where we do the work.

Karg gives any organization the clean, analysis-ready data that once took a dedicated data team to produce. And for teams that already have analysts, it gives back the hours lost to tedious data preparation, so they can spend them on analysis and execution.

Work with us

Let our team do the work, or run the platform yourself. Both use the same cleaning engine.

Karg Applied

Have Karg handle it

Send us your files and tell us what you need. Our team runs them through the same engine, checks the uncertain cases, and sends the data back clean.

  • No new software to learn
  • No data hire required
  • Scoped and priced per project

Karg Platform

Use Karg yourself

Upload or connect your data, answer a few questions, and review what Karg is unsure of. Your team stays in control of every change.

  • Self-serve cleaning for your own team
  • Confidence-scored fixes and a review queue
  • Plans from $30 a month, invite-only today