REgenesis Discovery Engine — Distressed Asset Conversion Intelligence

REgenesis is an AI-powered property scoring platform that identifies distressed commercial real estate — dead malls, shuttered big-box stores, vacant office parks, brownfield sites — and evaluates each site's potential for conversion into a Data Center or Senior Living facility. A full feasibility analysis that previously took a team of analysts 6 weeks is completed in under 10 seconds.

What REgenesis Does

REgenesis is the only platform that combines 49+ registered services, 8 GIS data sources, 7 scoring engines, and 5 orchestrator engines into a real-data decision layer for commercial real estate conversion. Enter a property address. REgenesis runs it through every engine in parallel and returns feasibility scores across 5 conversion pathways, a Trinity Score with power/fiber/water breakdown, stacked incentive value in dollars, a 2050 climate resilience rating, solar potential analysis, and an IRR projection — all in under 10 seconds.

REgenesis never fabricates, interpolates where not defensible, or displays placeholder values in production. Every score traces back to a verified data source. Users can audit every number from top-level grade to raw source. This is the "Real Data or No Data" principle that governs every feature shipped.

Who Uses REgenesis

• Institutional buyers screening large portfolios of distressed assets
• Family offices seeking above-market yields through value-add conversion
• REITs expanding into data center or senior living asset classes
• Developers evaluating adaptive reuse feasibility before LOI
• Municipalities modeling revenue resurrection from vacant commercial stock

The 7 Scoring Engines

1. DCSS — Data Center Site Suitability Score: Evaluates power grid capacity (EIA grid data, substation proximity), fiber access (OSM infrastructure, FCC broadband), cooling infrastructure availability, and zoning compatibility for hyperscale and edge data center development.
2. DCFS — Data Center Feasibility Score: Extends DCSS with market demand analysis for co-location services, proximity to existing hyperscaler campuses (AWS, Azure, Google), latency characteristics for the target metro, and floor load / ceiling height / column spacing assessments of existing structures.
3. SLFS — Senior Living Feasibility Score: Analyzes 65+ cohort size and growth rate (Census ACS), proximity to hospitals and medical specialists (Google Places), state regulatory environment for assisted living licensure, and competitive supply saturation in the trade area.
4. SFS — Solar Feasibility Score: Combines Google Solar API data, EIA electricity rate data, roof area and condition, net metering availability, and federal ITC eligibility to project solar potential and grid-arbitrage yield.
5. CFS — Community Feasibility Score: Measures local government receptivity (recent comparable approvals), underserved population size, transit accessibility, ADA compliance, and nonprofit partner availability.
6. ADI G-Score — Area Desirability Index: A 6-layer composite of socioeconomic indicators (Census median income, poverty rate, unemployment), market growth trajectory (population change, permit activity), environmental quality (EPA Envirofacts), and infrastructure access (OSM, USGS).
7. Trinity Score — Power-Fiber-Water Fusion: REgenesis's most novel metric. Fuses Power Headroom (EIA grid capacity), Fiber Redundancy (OSM + FCC broadband), and Water Stress (EPA + USGS) into a single infrastructure readiness signal. A property must clear the Trinity threshold before advancing to full data-center scoring.

The 5 QantmOrchstrtr AI Engines

• Genome — Generates a property DNA profile combining all scored attributes into a structured knowledge representation.
• Arbitrage — Scans for conversion pathway opportunities where the gap between current asset value and conversion upside is widest.
• Cascade — Models network effects: how one converted anchor property affects surrounding parcels (Stranded Asset Contagion Radius).
• Grants — Determines eligibility and stacks federal and state grant programs (QOZ, NMTC, HUBZone, Historic Tax Credit, LIHTC, state programs).
• Convergence — Multi-factor synthesis engine that produces the final Conversion Pathway Arbitrage Matrix across all viable use cases simultaneously.

Data Sources

REgenesis integrates 15+ external data sources: EIA Energy API v2 (power grid), 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), Google Maps/Places/Routes (geocoding, proximity, travel time), EPA Envirofacts (environmental), ATTOM Data API (property records), Regrid Parcel API (parcels), NOAA (climate/storm), OpenStreetMap Overpass (power and fiber infrastructure), FCC Broadband Data Collection (fiber coverage), and state GIS portals (51 portals, 37 API-queryable).

Frequently Asked Questions

What is REgenesis?

REgenesis is an AI-powered commercial real estate intelligence platform built by QANTM AI. It analyzes distressed properties — dead malls, shuttered big-box retail, vacant office parks, brownfield sites — for conversion potential into Data Centers or Senior Living facilities. The platform integrates 49+ data services, 8 GIS sources, 7 scoring engines, and 5 AI orchestrator engines to produce a full feasibility report in under 10 seconds. What used to take a team of analysts 6 weeks takes one person 6 minutes on REgenesis.

Who uses REgenesis?

REgenesis serves institutional real estate buyers, family offices, REITs, developers evaluating adaptive reuse projects, and municipalities modeling revenue recovery from vacant commercial stock. It is an invitation-only platform accessible at regenesis.qantm.ai. Access requires a signed subscription agreement with QANTM AI.

How does REgenesis score a property?

Enter a property address. REgenesis geocodes it, pulls real-time data from 15+ external APIs, runs it through 7 scoring engines in parallel (DCSS, DCFS, SLFS, SFS, CFS, ADI G-Score, Trinity Score), and then applies 5 AI orchestrator engines (Genome, Arbitrage, Cascade, Grants, Convergence) to produce a Conversion Pathway Arbitrage Matrix showing IRR across every viable use case. The EvalAgent runs regression tests every 15 minutes to catch any score drift, and the CalibrationAgent recalibrates all weights daily against actual closed-transaction outcomes.

What data does REgenesis analyze?

REgenesis integrates 15+ external APIs including EIA (power grid capacity), U.S. Census Bureau ACS (demographics, 65+ population), FEMA NFHL (flood zones), USGS 3DEP (terrain, elevation), HUD (Qualified Opportunity Zones), Google Solar API (solar potential), EPA Envirofacts (environmental contamination history), ATTOM Data API (property records, valuations), Regrid Parcel API (parcel boundaries), NOAA (climate and storm risk), OpenStreetMap (power substations, fiber routes), FCC Broadband Data Collection (fiber coverage), and 51 state GIS portals (37 queryable via API).

What is the Trinity Score?

The Power-Fiber-Water Trinity Score is REgenesis's most novel metric. It fuses three critical infrastructure signals — Power Headroom (grid capacity headroom from EIA data), Fiber Redundancy (multi-provider fiber coverage from OSM and FCC data), and Water Stress (water utility capacity from EPA and USGS data) — into a single data-center site readiness score. Properties that do not achieve a positive Trinity Score are filtered out before full data-center feasibility analysis begins.

What federal incentive programs does REgenesis track?

REgenesis automatically determines eligibility for and stacks: Qualified Opportunity Zones (QOZ, sourced from HUD), New Markets Tax Credit (NMTC, sourced from CDFI Fund), HUBZone designation, Historic Tax Credit, Low-Income Housing Tax Credit (LIHTC), and state-level economic development programs. The Incentive Stacking engine outputs the maximum legally combinable incentive value in dollars per project, turning a complex regulatory landscape into a clear financial underwriting input.

Access

REgenesis is an invitation-only platform. To request access, contact info@qantm.ai.