For capital partners
Building a national third-party multifamily management company.
An operating platform built around the service, reporting and governance institutional owners expect. We're building a national multifamily management company by acquiring strong regional firms and supporting their local teams with shared services, technology and business development.
The thesis, in four parts.
Operating playbook
One way to onboard, control and report on each operating company, drawn from experience building and running a roughly 8,000-home platform. Integration follows common operating standards, with systems changes sequenced around owner requirements and service continuity.
Platform and technology leverage
Shared services and one data layer are built to carry each additional company at lower marginal cost. Common standards are how control keeps pace as the platform grows.
Acquisition and financial discipline
We price what a firm earns and retains, not what it promises. Each acquisition is structured around continuity of clients and team. Growth comes from retaining clients, winning additional assignments and improving the capacity of local teams. Market concentration is a deliberate choice: depth in each market lowers cost per unit, strengthens local teams and wins the next owner.
Governance and long-term value creation
We establish controls, reporting and governance as part of the first acquisition, to the standard institutional capital expects of an operator it deploys through. The platform is built for the long term, with ownership structures decided by what serves the business.
Who is building it.
Jack Eljarrat started at Morgan Stanley in M&A advisory, then moved to the buy side with the Morgan Stanley Infrastructure fund. At Avalon Properties, an Ares Management multifamily platform in Spain, he was Deputy CEO as the portfolio grew from zero to roughly 8,000 homes in five years. All of them were managed in-house by a property management company Jack built from the ground up, along with asset management and the technology and data stack it ran on.
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