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Deepblocks

AI-powered real estate site selection and development feasibility analysis

Artificial intelligence platform for real estate development that analyzes city-wide parcel data, zoning rules, construction costs, market trends, and demographics to identify optimal development opportunities and conduct financial feasibility analysis across 300+ US cities.

$4.53M raised Growth Stage
Founded 2017 · Case study evidence from Miami, Brooklyn, and other major markets; 6+ institutional investors; $1.6M revenue in 2024 with 12-person team (per Latka)

Why This Tool Exists

The Problem

Real estate professionals spend weeks or months manually reviewing thousands of properties, researching zoning requirements, construction costs, and market data to identify viable development opportunities. This tedious manual research process delays investment decisions and introduces inconsistencies, preventing investors from exploring market-wide patterns or comparing alternative sites at scale.

The Solution

AI-powered platform integrates fragmented real estate data (zoning codes, construction costs, demographics, market trends, ownership records) into unified city-wide intelligence. Instantly scans thousands of properties against user-defined investment criteria and generates detailed financial and feasibility analysis. Case studies show the platform identifies optimal sites in seconds that would take manual analysts weeks to find.

How You Use It

Delivery Method
SaaSWeb Application
Integrations
Custom API integration available (contact vendor)
Disciplines
Real Estate Development, Architecture, Construction
Project Phases
Pre-Design, Site Selection, Feasibility Analysis
Project Types
Commercial, Residential, Mixed-Use, Multifamily

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required: City/location selection, Investment criteria (use type, unit count, price range), Development preferences
Optional: Historical project data, Custom zoning requirements, Market benchmarks
Formats: Web form inputs, Geographic/parcel data, Custom filter specifications
Output
What you get
Format: Interactive dashboard with property reports and feasibility analysis
Fields: Ranked property opportunities matching criteria, Zoning analysis and development potential, Financial projections and pro forma models, 3D massing visualization (Dev product), Market demographics and trends, Construction cost estimates, Comparative site analysis
Algorithm
How it works
Model: Proprietary AI ensemble (multiple models trained on zoning, market, and financial concepts per company description)
Accuracy: Not publicly specified (claims 90% time/cost savings vs manual analysis)
Privacy
How your data is protected
Retention: Project-based retention; specific duration not publicly specified
Training: Not publicly specified whether production data used for model training
Compliance: Terms of Service reference data handling; SOC 2 status not publicly confirmed
API
Integration
Endpoint: Contact vendor for API access
Method: Not publicly documented

Use Cases

  • · Real estate investment opportunity sourcing at city scale
  • · Site selection and acquisition research for developers and funds
  • · Feasibility analysis and pro forma modeling for new construction
  • · Zoning analysis and development potential evaluation
  • · Market trend analysis for investment strategy
  • · Rapid property filtering from thousands to top contenders (case study: 1000 properties → 2 optimal sites in <1 minute)

Pricing

Free
No free tier available
Pro
Starts at $2,000/month (exact tiers not publicly detailed)
Enterprise
Custom pricing available (contact vendor)
Website →
Research Sources & Data Quality Last verified: 2026-04-04
Verified Data (16)
problem, solution, deliveryMethod, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, fundingTotal, customerBase, input-required, output-fields, output-structure, algorithm-approach, useCases, pricing-pro
Not Found (8)
api-documentation, privacy-policy-specific, soc2-certification, iso27001, integrations-detailed, algorithm-accuracy-percentage, data-training-practices, compliance-certifications-specific
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.