Our strategy
km² utilizes AI to identify undervalued commercial real estate. By analyzing proprietary and public historical and real-time property, economic, and demographic data, km² leverages Machine Learning strategies to target assets with high potential.
Data Driven Freehold Realty
Value Add Acquisitions
Utilizing Technology to Optimize Leasing
Land Consolidation & Space Reclamation
Strategic Conversions & Redevelopment
SHDH (Super Higher Density Housing)
Who We Are
km² combines expertise in AI, real estate, and entrepreneurship to strategically enhance property values, identifying opportunities overlooked by traditional firms.
Select Projects
KM² leverages AI and technology to identify value-add opportunities and collaborates with top-tier, segment-specific partners to pursue them. Examples of such opportunities include:
Lancaster Auto Row
Lancaster, CA
25,400 SF
Palmdale Central Storage
Palmdale, CA
13,627 SF
Industrial Technologies Building, Palmdale
Palmdale, CA
16,000 SF
The Shops at Pacific View
Ventura, CA
164,433 SF
Pacific View Automotive
Ventura, CA
14,130 SF
The Kauai Post
Lihue, HI
10,620 SF
Oxnard Auto Row
Oxnard, CA
7,104 SF
Industrial Technologies Building, Port of LA
San Pedro, CA
25,710 SF
Briarmont Executive Suites, Downtown San Bernadino
San Bernardino, CA
23,235 SF
Briarmont Executive Suites, Bakersfield
Bakersfield, CA
557,687 SF
Stott Building
Detroit, MI
202,194 SF
The United Staffing Building
Ventura, CA
32,825 SF
Industrial Technologies Building, Middle Village
Queens, NY
Container City
In Development
Briarmont Estates
In Development
Yuma Industrial Center
Yuma, AZ
124,500 SF
Bakersfield Industrial Technologies Center
61,118 SF
Acquisitions
km² primarily acquires value-add and opportunistic deals. We like to see a clear path to profitability within 2-3 years and to significantly beat the market over a 5-10 year hold period.
Our preferred asset classes include industrial, office, retail and medical; but we also consider self-storage, laboratory and hospitality.
Our preferred asset classes include industrial, office, retail and medical; but we also like self-storage, laboratory, and automotive.
Things we like:
- Properties close to our existing holdings
- High-growth or University areas
- High-tech, innovative or entrepreneurial areas
- Diverse economies not tied to a single industry or employer
- The top markets in each state
- Logistics hubs, ports, major airports, and significant infrastructure
- Urban and Suburban areas in Top 200 MSA
- Significant markets within two hours of a Top 30 MSA
- Adjacent to National Parks, UNESCO sites, or other major attractions
- Multi-generational assets with positive long-term outlook
- Single tenant or multi-tenant; portfolios or individual properties
