Provenance research is slow, fragmented, and often incomplete.
Documents are scattered across archives, catalogues raisonnés, museums, and private collections. Verifying an artwork's history can take days — sometimes weeks.
Collectors, galleries, and institutions deserve better tools. They need to make confident decisions about acquisitions, sales, and loans. They need to protect themselves from risk.
Maros changes that.
We built an engine that reads documents, reconstructs provenance, and highlights risks automatically. What used to take weeks now takes minutes.
Our extraction engine achieves 90%+ accuracy on provenance data, with near-perfect accuracy on critical fields like artist, title, and chain order. When you see "Maros verified" on a provenance timeline, you know the data has been extracted, cross-referenced, and validated to research-grade standards.
Our mission is simple:
Make provenance transparent, accessible, and verifiable for everyone.
Maros is building the provenance intelligence layer for the global art market — a unified engine that reconstructs, verifies, and protects the history of every artwork.
For collectors, galleries, and institutions worldwide.
Founder
Shiv brings over 15 years of experience building complex, high-scale software systems. As VP of Software Engineering at Capital One, he led teams building enterprise-grade platforms processing millions of transactions. Previously, he held engineering leadership roles at Verizon and technical positions at Microsoft and Intel.
Shiv built Maros to solve a problem he encountered firsthand: the art market lacks the tools to efficiently verify provenance and assess risk. He's applying enterprise software engineering principles to bring transparency and rigor to art provenance research.
LinkedIn Profile