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Matt Rothberg is the founder of MarginArc, a boutique AI consultancy that automates the back-office of legacy, owner-operated businesses — wholesale distributors first — and stands behind the result. At World Wide Technology he discovered and stood up a custom AI consulting practice; a Columbia MBA, Honors, he built MarginArc's prior machine-learning pricing product solo.

Matt Rothberg is the founder of MarginArc, a boutique AI consultancy that automates the back-office of legacy, owner-operated businesses — wholesale distributors first, independent insurance agencies second — and stands behind the result. He has stood up an AI practice before: at World Wide Technology, a ~$20B IT solutions provider, he led enterprise sales into the largest financial institutions and discovered, built, and won the first client for a custom AI consulting offering that spread to other Fortune 500 accounts. On that account he re-engineered gut-feel deal pricing into a data-driven method — the origin of MarginArc's thesis that gut-feel pricing leaves money on the table. As a Cisco systems engineer, he built the business case behind a ~$1B product decision. He bootstrapped and sold a B2B IT-services firm, holds a Lehigh BS in Computer Science & Business and a Columbia MBA, Honors, and built MarginArc's prior machine-learning pricing product solo. Through Montrose Legacy Partners he backs entrepreneurs acquiring and scaling legacy services businesses — the same owner-operated world MarginArc serves.

Matt Rothberg is the founder of MarginArc, a boutique AI consultancy that automates the manual back-office work legacy businesses retype all day — and stands behind the savings with real numbers, not a demo. MarginArc serves wholesale distributors first and independent insurance agencies second, reselling proven automation engines and owning the high-value layer: the data-readiness diagnostic, the financial model, the ERP and agency-system integration, and the change management.

Matt has done each piece of that before. He has stood up an AI services practice: at World Wide Technology, a ~$20B IT solutions provider, he led enterprise sales into the largest financial institutions, scaled the book to roughly $100M, and discovered, built, and won the first client for a custom AI consulting offering later adopted across other Fortune 500 accounts. On that account he re-engineered gut-feel deal pricing into a data-driven method, won a deal at the account's highest-ever margin, and an outside review confirmed inconsistent pricing was leaving real profitability on the table every year — MarginArc's founding thesis. As a Cisco systems engineer he built the cross-customer business case for ultra-low-latency switching that drove a ~$1B product decision; his first company was a B2B IT-services firm he bootstrapped from high school through college and sold. He holds a Lehigh BS in Computer Science & Business, where he was student body president, and a Columbia MBA, Honors, and built MarginArc's prior machine-learning pricing product solo, patent-pending, before making the disciplined call to focus the work here. Through Montrose Legacy Partners he backs and advises entrepreneurs acquiring and scaling legacy services businesses — the same owner-operated world MarginArc serves — so he measures technology the way an owner and an investor do: in cash, in labor you can't hire, in payback, not in features.