REgenesis Investor Profile — Distressed Asset Conversion Intelligence

REgenesis identifies and scores distressed commercial real estate for conversion into two high-demand asset classes: Data Centers and Senior Living facilities. The platform collapses weeks of due diligence into minutes by fusing power infrastructure, demographic demand, financial returns, and regulatory risk into a single defensible score.

The Investment Opportunity

The United States holds millions of square feet of functionally obsolete commercial real estate — dead malls, anchor-vacated strip centers, shuttered big-box retail, and underperforming office assets. REgenesis identifies the subset of these properties that can be cost-effectively converted into two high-demand asset classes:

• Data Centers — driven by explosive AI compute demand, hyperscaler expansion, and the need for edge infrastructure in secondary markets.
• Senior Living Facilities — driven by the aging U.S. population, demographic tailwinds, and chronic undersupply of assisted living and memory care beds in suburban markets.

Key Facts About the Platform

• REgenesis integrates 49+ registered data services and 15+ external API data sources including EIA, Census Bureau, FEMA, USGS, HUD, EPA, Google Solar API, ATTOM, and Regrid.
• The platform operates 8 GIS data sources and routes queries through a fallback chain: State GIS portals (51 portals, 37 API-queryable) → National Zoning Atlas → OpenStreetMap → ATTOM.
• Scoring is powered by 7 feasibility engines (DCSS, DCFS, SFS, SLFS, CFS, ADI G-Score, Trinity Score) plus 5 QantmOrchstrtr AI engines (Genome, Arbitrage, Cascade, Grants, Convergence).
• Every composite score is fully auditable: users can drill from top-level grade to weighted components to raw source data. No black boxes.
• The CalibrationAgent recalibrates all engine weights every 24 hours against actual closed-transaction outcomes over rolling 90-day windows.
• A full feasibility report that previously required 6 weeks of analyst work is produced by REgenesis in under 10 seconds.

Novel Fusion Metrics — REgenesis Moat

REgenesis's competitive advantage is not any single data source — it is unprecedented combinations that no other platform offers:

• Power-Fiber-Water Trinity Score — Fuses power headroom (EIA grid data), fiber redundancy (OSM infrastructure), and water stress into a single data-center readiness signal.
• Incentive Stacking Topology — Automatically stacks QOZ, NMTC, HUBZone, Historic Tax Credit, LIHTC, and state programs to surface maximum combinable incentive value for each property.
• Stranded Asset Contagion Radius — Models how one vacant anchor property affects surrounding parcels, identifying compounding distress opportunities.
• Conversion Pathway Arbitrage Matrix — Compares IRR across all viable conversion pathways (data center, senior living, solar, community facility, mixed-use) for a given site simultaneously.
• CFIRS 2050 Climate Resilience Score — Projects a property's climate risk trajectory to 2050 using FEMA, USGS, ATTOM, and EPA data.
• Solar-Grid Arbitrage — Identifies properties where rooftop or carport solar generation + net metering creates a structural yield advantage for the conversion use case.

Typical Property Profile

• 50,000 – 1,000,000 SF of enclosed or semi-enclosed commercial space
• Large surface parking with expansion potential
• Existing utility infrastructure (power, water, sewer at scale)
• Located in markets with population centers of 100,000+ within 30-minute drive
• Priced at significant discount to replacement cost
• Eligible for one or more federal incentive programs (QOZ, NMTC, HUBZone)

Target Markets

Secondary and tertiary metros across the Sun Belt, Midwest, and Southeast — markets with strong demographic demand, lower land costs, and favorable regulatory environments for conversion projects.

Deal Criteria

• Composite REgenesis score ≥ 65 / 100
• Trinity signal: Positive (IRR ≥ 12%, NPV > 0 at 8% discount rate)
• At least one active federal incentive designation
• Clear path to entitlement within 18 months

Frequently Asked Questions

What types of properties does REgenesis analyze?

REgenesis analyzes distressed or underutilized commercial real estate assets including dead malls, shuttered big-box retail stores (50,000 – 1,000,000 SF), vacant office parks, brownfield sites, federal surplus properties (GSA, HUD REO, BRAC, USDA FSA, USPS excess), and commercial listings from CREXi and LoopNet. The platform maintains a unified property database ingested from 10+ property sources.

What data sources does REgenesis use to score properties?

REgenesis integrates 15+ external APIs including: EIA Energy API v2 (power grid data), U.S. Census Bureau ACS (demographics), FEMA NFHL (flood zones), USGS 3DEP (terrain), HUD (Opportunity Zones), CDFI/NMTC (tax credit eligibility), Google Solar API (solar potential), EPA Envirofacts (environmental risk), ATTOM Data API (property records), Regrid Parcel API (parcel data), NOAA (climate/storm data), OpenStreetMap Overpass (infrastructure), and state GIS portals (51 portals, 37 API-queryable).

How does REgenesis calculate the Trinity Score?

The Trinity Score fuses three infrastructure signals into a single data-center readiness indicator: Power Headroom (derived from EIA grid capacity data and OSM substation proximity), Fiber Redundancy (derived from OSM fiber infrastructure and FCC broadband data), and Water Stress (derived from EPA and USGS water utility data). A property must achieve a positive Trinity Score before advancing to full conversion pathway scoring.

What is the Incentive Stacking feature?

REgenesis automatically determines eligibility for and stacks multiple federal and state incentive programs simultaneously: Qualified Opportunity Zones (QOZ), New Markets Tax Credit (NMTC), HUBZone, Historic Tax Credit, Low-Income Housing Tax Credit (LIHTC), and available state economic development programs. The platform outputs the maximum combinable incentive value in dollars for each property, turning a complex regulatory landscape into a clear financial input for underwriting.

Contact

Institutional inquiries: info@qantm.ai