Part of the Integral Mass ecosystem

Three Distinct Market Segments

Our captive serves three uncorrelated housing markets, providing true risk distribution and diversification.

Market Overview

Each market segment has unique characteristics, risk profiles, and revenue models. This diversification is key to the captive's stability.

๐ŸŽ“ Student Housing

Target: Accessory Dwelling Units (ADUs) near university campuses

$120K
Avg Unit Cost
30 days
Installation Time
$1,000
Monthly Rent
High
Turnover Rate

Key Characteristics:

  • Short-term leases (9-12 months)
  • High demand near ASU, U of A, NAU
  • Standardized unit designs
  • Rapid installation required

Primary Risks:

  • Schedule delays (academic calendar pressure)
  • Utility connection in dense areas
  • Code compliance in residential zones

๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘งโ€๐Ÿ‘ฆ Multi-Generational

Target: Rent-to-equity ADUs for family wealth transfer

$150K
Avg Unit Cost
45 days
Installation Time
$1,200
Monthly Payment
Low
Turnover Rate

Key Characteristics:

  • Long-term financial instrument (10-15 years)
  • Wheelchair accessible design
  • Residence swap capability
  • Interest accumulation on payments

Innovation: The Equity Instrument

Parents invest in an ADU. Children pay rent that accumulates with interest. Over time, equity transfers to the child. When parents age, they can swap residences, moving into the accessible ADU.

Primary Risks:

  • Payment continuity (mitigated by family structure)
  • Accessibility feature installation
  • Long-term structural integrity

๐ŸŒพ Rural Development

Target: Remote properties with utility infrastructure challenges

$135K
Avg Unit Cost
60 days
Installation Time
$900
Monthly Rent
Medium
Turnover Rate

Key Characteristics:

  • Off-grid or limited utility access
  • Septic system installation
  • Well water or cistern systems
  • Solar power integration

Primary Risks:

  • Utility integration failures (septic, water, power)
  • Remote location logistics
  • Weather-related delays
  • Specialized GC expertise required

Risk Independence Analysis

The three markets demonstrate low correlation, providing natural diversification for the captive.

Geographic Distribution

Student housing concentrates near urban campuses, multi-generational in suburban areas, and rural in remote locations. Geographic separation reduces correlated weather and economic risks.

Temporal Patterns

Student housing peaks before academic terms, multi-generational follows family planning cycles, and rural development is weather-dependent. Staggered demand smooths GC utilization.

Risk Profiles

Student housing risks schedule delays, multi-generational risks payment continuity, and rural risks utility integration. Different risk types prevent systemic failures.

See the Data

Our queuing simulation demonstrates how these three markets interact with our 12 General Contractors.