RED leads the full early lifecycle of a middle-housing project: finding the site, proving the economics, and shaping what gets built. Execution runs through RED's operating ventures, but the intelligence that drives every decision starts here.
- AI-driven site sourcing and screening
- Zoning analysis and compliant rubric generation
- Feasibility analysis and full-stack underwriting
- Project structuring and investor-ready packaging
- Development oversight through operating ventures
A repeatable framework, adapted to each site's constraints.
An autonomous data engine flags viable parcels from listings, assessor records, and GIS portals, filtering large candidate sets down to real opportunities without manual overhead.
AI-assisted research extracts applicable rules from local code and middle-housing regulations, producing a compliant zoning rubric that maximizes yield and marketability.
A single underwriting engine models acquisition, soft and hard costs, contingencies, financing, sales, investor economics, and sensitivity scenarios, delivering a defensible go or no-go in roughly a day.
Because the underwriting model is also the investor model, projects move from feasibility to investor-ready materials seamlessly, a structured investment case rather than a loose idea.
RED carries the project through its operating ventures, ensuring what gets built matches what was underwritten.
RED's framework is already deployed on active projects.
A single-family lot being redeveloped into 8 units that include side-by-side duplex structures and ADUs. Underwriting moved from start to submitted offer in roughly one day.
An active middle-housing infill project of 8 units (2 cottages, 3 main units, 3 attached ADUs) in South Park. RED's underwriting modeled the full development of roughly $4M from end to end.
RED's current focus is Washington State and the broader West Coast, among the most supply-constrained regions in the country, with a framework designed to extend to additional U.S. markets over time. Deep local knowledge compounds; a region-agnostic engine lets that knowledge scale.
RED is a real estate firm built around technology, not a software company dabbling in real estate. We engineered an AI-driven system because traditional development leaves too much on the table: slow site screening, inconsistent underwriting, and decisions made without enough information. The tools do not replace judgment. They make judgment faster, more consistent, and better informed.
An autonomous property data engine pulls from listing platforms, county assessor records, jurisdictional GIS portals, and live listing data, flagging viable parcels the moment they reach target pricing. A continuous pipeline replaces labor-intensive manual screening.
A full-stack underwriting application models acquisition price, closing costs, soft and hard costs, construction costs, contingencies, financing fees, interest, draw timing, gross and net sales, brokerage, investor equity, preferred returns, profit splits, project-level profit, investor returns, and sensitivity scenarios, compiling a structured investment case in a fraction of the usual time.
A market-analysis layer compares each site against relevant contemporary developments, grounding pricing assumptions and keeping underwriting honest.
Zoning in the U.S. is governed locally and varies enormously between jurisdictions, a primary source of delay and complexity. RED's framework uses AI-assisted research to extract applicable rules from local code and middle-housing regulations directly, then produces a structured zoning rubric that complies with regulation while maximizing land efficiency. When project goals conflict with local constraints, the system finds the configuration that maximizes yield and marketability within the rules.
The difference is not only speed, it is the quality of information at every decision point.
Compressed to roughly one day per site, down from the historical multi-day manual timeline.
On active projects, RED has moved from underwriting start to submitted offer in about half the historical timeline.
Consistent, grounded in explicit assumptions, and ready for lenders and investors from day one.
More opportunities evaluated, without proportional overhead. A method that travels across fragmented local markets.
RED Property Investments is a technology-driven real estate firm that finds, underwrites, and manages middle-housing infill projects across the Pacific Northwest. We replace slow, manual development workflows with AI-driven analysis, turning underused parcels into attainable housing, faster and with more discipline.