Dublin-based MARC, an AI company focutilized on
real estate asset management, has raised a $1 million pre-seed round from 23
angel investors, with no venture capital participation. Backers include Jack
Pierse (Wayflyer), Tom Kennedy (Hostelworld), Susan Spence (SoftCo), Eoghan
Quigley (the Dublin Chamber of Commerce), and James McGann (Unmind), alongside
institutional real estate investors and US-based multifamily operators.
Large real estate portfolios often involve
thousands of vfinishor contracts covering services, licences, and certifications.
Key information such as renewal dates, escalation clautilizes, termination rights,
and fee structures is frequently scattered across inboxes, shared drives, and
legacy systems, creating budobtaining, audits, asset sales, and invoice reviews slow
and error-prone.
MARC was founded by Aaron Devitt to address
these challenges. After seeing firsthand how fragmented and inefficient contract and
expense management practices affected both renters and asset managers, 22-year-old Devitt
launched building the platform, deferring his studies to focus on
developing a solution for managing asset data at scale.
MARC addresses this problem through
AI-powered contract agents that connect directly to existing document
repositories, including email inboxes and SharePoint. The system automatically
locates contracts, extracts and structures critical terms, and organises them
into a continuously updated source of truth that teams can search and query
instantly. According to the company, this approach significantly reduces the
time required to process contract data.
In addition, MARC compares contract terms
with monthly invoices, allowing operators to identify discrepancies and
potential overbilling before they affect net operating income.
Since launching in 2024, MARC has expanded
from working with Irish property managers to serving institutional owners in
the United States and Canada.
The funding will be utilized to further develop
the product and support expansion into the North American market.
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