Find distressed properties and motivated sellers before they hit the MLS. AI-powered valuation and analysis built for house flippers.
Results from White Space client engagements. Individual results vary.
Stop competing on the MLS. Find deals others miss with AI.
AI identifies pre-foreclosures, code violations, vacant homes, and properties needing major repairs.
Get to sellers before properties hit the MLS. Off-market deals mean better margins.
Automated campaigns and analysis mean consistent deal flow without all-day marketing.
Motivated sellers from AI-sourced leads typically accept 10 to 20% below market value.
AI identifies motivated sellers filtered by your exact criteria.
Homeowners behind on payments
Properties with city citations
Homes sitting empty
Out-of-state property owners
Owners with significant equity
Inherited properties
Behind on property taxes
Long-term rental owners ready to exit
From deal sourcing to exit strategy, AI optimizes every step.
AI monitors foreclosure filings, code violations, and property conditions to find deals first.
Instant ARV estimates using comparable sales, market trends, and property characteristics.
AI analyzes property photos and data to estimate repair costs before you visit.
Real-time analysis of neighborhood trends, price movements, and optimal flip timing.
AI matches your projects with vetted contractors based on specialty, availability, and reviews.
Calculate purchase price, rehab costs, holding costs, and projected profit instantly.
The typical flip made $60,526 gross in Q2 2026, before rehab and holding costs, per ATTOM. Every week cut from the timeline and every bad deal avoided comes out of costs, not profit.
$60,526
Typical gross flip profit
21.5%
Typical gross flip ROI
161 days
Median purchase to resale
Choose the AI tools that fit your flipping business.
Automated ARV estimates and comp analysis for every property in your pipeline.
AI identifies distressed properties from market data and public records.
AI analyzes property photos to generate rehab scopes and cost estimates.
Real-time market analysis, trend monitoring, and opportunity alerts.
Flippers usually come to us with one bottleneck rather than a whole stack to replace. If the pipeline is held together by manual handoffs between your lead source, your underwriting sheet and your CRM, that is AI workflow automation. If the constraint is headcount, and you are hiring another VA to do the same task every week, an AI employee does that work instead. When it is not obvious which one applies, AI consulting starts by mapping what you run today. The rest of what we build is on the services page.
Our AI achieves 90 to 95% accuracy on ARV estimates by analyzing hundreds of comparable sales, adjusting for property conditions, and incorporating real-time market data. It is designed to be conservative to protect your margins.
Yes, our AI analyzes property photos to identify repair needs including roof condition, foundation issues, interior updates needed, and more. It provides a preliminary estimate to help you decide whether to pursue a property before a site visit.
The AI monitors multiple data sources, foreclosure filings, code violations, tax delinquencies, probate records, and property condition indicators, to identify motivated sellers before they list on the MLS.
Most flippers see 5 to 10x return on their AI investment. With average flip profits of $30K to $50K, finding even one additional deal per month through AI easily covers the cost and generates significant profit.
The AI continuously analyzes neighborhood trends, days on market, price per square foot changes, and seasonal patterns to help you identify optimal buying and selling windows for maximum profit.
Deep dives on the tools and workflows flippers ask us about most.
Pricing, who each tool fits, and where each one falls short.
How AI tools handle comps, ARV and rehab estimates before you make an offer.
Seven places to put AI to work on a flip, from sourcing to exit.
A match-rate test of six AI skip tracing tools, with cost per hit.
Start sourcing off-market deals with AI-powered property intelligence.