Platform uses AI agents that plug directly into document stores to manage contracts and accounts payable functions for landlords
Trade
Aaron Devitt, Marc
Proptech platform Marc, developed by 22-year-old Dubliner Aaron Devitt has raised a $1 million pre-seed round.
Backed by investors including: Jack Pierse (Wayflyer), Susan Spence (SoftCo), Tom Kennedy (Hostelworld), and more, founder Aaron Devitt built Marc to reinvent how critical asset management data is managed at scale.
Since launching in 2024, Marc has grown from serving local Irish property managers to working with institutional owners managing 5,000-35,000 units across the US and Canada. Its customers now represent more than $80 billion in assets under management.
After securing some of Ireland’s largest property managers as customers, including Sherry Fitzgerald Lettings and DNG Lettings, in 2025, the MARC team began to serve institutional real estate owners across North America.
The company now works with multiple operators managing between 5,000 and 30,000 residential units across more than 20 US states.
Devitt deferred from college to build Marc after seeing how poor property management practices affected renters and asset managers.
“The relationship between the accounts payable systems and contract management systems have been historically disconnected, causing marginal and continuous overbilling at scale. To the tune of many millions of dollars for larger residential portfolios,” said Devitt.
Marc’s AI agents turn buried vendor contracts into structured, live operational data, cutting work that typically takes up to three months down to a matter of seconds.
Large property portfolios can involve thousands of vendor contracts covering services, licences, and certifications. Critical details such as renewal dates, termination rights, escalation clauses, and fee
structures are often scattered across inboxes, shared drives, and legacy systems, making budgeting, routine audits, asset sales and invoice comparison reviews slow and error-prone.
Marc addresses this by deploying AI agents that plug directly into existing document stores, including email inboxes and SharePoint.
The system automatically locates contracts, extracts key terms, and organises them into a live source of truth that teams can query instantly, enabling asset management teams to operate 200 times faster than humans. It also compares historically buried contract terms against monthly invoices, helping institutional operators identify discrepancies and overbillings before they impact net operating income.
Patryk Goron