PropChain Business Plan
Predictive intelligence and transaction-enablement platform for real estate. Redefining how real estate moves through AI-powered discovery, valuation, and workflow automation.
Executive Summary
PropChain is a PropTech 3.0, AI-first, mobile-centric platform that unifies discovery, valuation, and closing into one guided workflow. We ingest fragmented data—MLS, municipal, LiDAR, aerial, curb-level imagery, ESG signals—into our AI stack to tell buyers, sellers, and professionals what to do next, not just what's on the market.
Seed Round Structure
YC-style post-money SAFE at $15M cap with 20% discount, MFN, and pro-rata rights for checks ≥$100k
Raise Target
$1.0M–$1.6M band, $1.4M target (minimum $1.0M, hard cap $1.6M)
Runway
≈22–24 months at base burn, up to 31 months in low-burn scenario
Historical capital efficiency: ≈$47,055 of founder-funded spend in 2023–2024, with ≈92% in R&D and product/design. This business plan supersedes all prior raise scenarios and reflects the updated capital plan v1.1.
Mission & Vision
Redefining How Real Estate Moves
PropChain's mission is to collapse search, valuation, and closing into a predictive, mobile-native platform that makes buying, selling, and investing as simple as tapping "Buy Now."
We position ourselves as "Bloomberg Terminal meets AI-powered real estate concierge"—leveraging predictive analytics to surface high-potential properties and automate transactions.
"Discover, analyze, and close on property in one place—turning opaque, slow real estate workflows into a real-time, AI-guided experience."
Core Products & Capabilities
Seed scope centers on intelligence and workflow, not full marketplace/escrow. Our platform delivers predictive power through integrated AI tools and data infrastructure.
Terra Engine / PropPredict
Predictive models that forecast property value, timing, and risk at high resolution using advanced ML and computer vision
Property Oracle
"What's next?" discovery: neighborhoods, blocks, and properties ranked by appreciation potential and fit to the user
CurbValue & CurbScan
Real-time curb appeal scoring and improvement recommendations based on curb-level imagery, sensor data, and Terra Net ingestion
Visual Transaction Pipeline
Pre-Seed/Seed buildout of B2B transaction workflow model that evolves into full automation post-Seed
Mobile App
iOS-first (Android planned) consumer and pro interface for predictive search, property comparisons, and integrated workflows
Learn More:
Market Opportunity
TAM / SAM / SOM Breakdown
Real estate is the largest global asset class (~$277T), and the U.S. residential market alone represents trillions in annual transaction value. The predictive analytics market in real estate was valued around $12.1B in 2022 and is projected to grow at ~24%+ CAGR through 2038.
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2
3
1
SOM
~$33.8B segment of transaction and analytics spend. Target single-digit percentage penetration with low- to mid-seven-figure ARR at Seed + Series A scale
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SAM
U.S. and select ORI-2 markets for predictive analytics, pro-grade dashboards, and data/API licensing linked to MLS and curb-level data
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TAM
Predictive analytics and transaction software spend in residential/commercial real estate globally, including subscriptions, APIs/data, and transaction software—$12B+ and expanding
Venture capital has poured $8.9B+ into PropTech in 2023, reflecting strong appetite for data- and AI-driven solutions in this massive market.
The Problem We're Solving
Backward-Looking Tools
Buyers and sellers make the largest financial decision of their lives with static listing portals, outdated comps, and anecdotal advice
Fragmented Data
MLS data is monopolized and fragmented; curb-level and ESG factors rarely make it into decision workflows
Broken Workflows
Transaction workflows remain paper-heavy, slow, and fraud-prone, with broken handoffs across agents, lenders, and title professionals
PropChain's Solution
Predictive-First
Surface what's likely to hit the market, where values are going, and how risk is evolving—so stakeholders act before the market does
Curb-to-Cloud Data
Terra Net fuses CurbScan curb imagery and telemetry with MLS and public data into an ML-ready layer
Phone-First Workflows
Mobile app and future VTP features migrate more of the decision and closing journey into a single, guided experience
Technology Architecture
Data Strategy & Infrastructure
PropChain's data platform is built on a NAS-first, Azure-when-needed architecture that maximizes cost efficiency while maintaining ML readiness.
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Synology NAS
Primary store for raw, structured, and historical datasets including web-scraped MLS-adjacent data, curb imagery, and model snapshots
2
Azure Data Lake
Active workloads only: training, inference, mobile/API queries with automated NAS→Azure syncs
3
Terra Engine
ML-ready and auditable predictive models with incremental updates and integrity checks
This model limits cloud spend to the $40k infra budget over 24 months while keeping Terra Engine and Terra Net ML-ready and auditable.
CurbScan & Terra Net
Proprietary Curb-Level Data Capture
$14K
CapEx per Rig
Jetson AGX Orin, sensors, enclosure, install
$5.9K
OpEx per Month
Driver, vehicle, fuel, connectivity, misc
1,050
Scanned Miles/Month
Per rig coverage capacity
$5.60
Cost per Scanned Mile
OpEx only, conservative estimate
Seed plan contemplates phased ramp: Phase A (1 rig) in NJ + NY metro comfortable at $1.4M; Phase B (2 rigs) adds FL or TX; Phase C (3 rigs) adds third ORI-2 market. Each phase is carefully gated to preserve runway and validate unit economics.
CurbScan Deployment Phases
1
Phase A (Months 1-9)
1 rig: NJ (Summit/Union County) + limited NY metro
Coverage: 9,450 scanned miles
Focus: debug + dense NJ data moat
2
Phase B (Months 10-18)
2 rigs: Add FL or TX (high-ORI-2 cluster)
Coverage: 18,900 miles in Phase B
Combined A+B: 28,350 scanned miles
3
Phase C (Months 19-24)
3 rigs: Add CA, WA, or GA based on traction
Coverage: 18,900 miles
Total A+B+C: 47,250 scanned miles
4
Phase D (Post-Seed)
5-10+ rigs: Across ORI-2 top-15 cluster
Funded post-Series A based on performance
Not required for Seed economics
Business Model & Revenue Streams
PropChain generates revenue through four complementary streams, each designed to capture value at different points in the real estate decision journey.
Subscriptions (B2C/B2Pro)
Freemium → paid funnel for homeowners, buyers, renovators, and pros. Standard tier ≈$99/mo, Pro ≈$299/mo
SaaS for B2B / Teams
Seats and org licenses for brokerages, lenders, investors, title firms using PropChain dashboards and VTP
Data & APIs (DaaS)
Predictive scores, risk overlays, and curb-level data exposed via APIs. Pricing by usage, geography, and data richness
Transaction Revenue
Marketplace & closing fees from Visual Transaction Pipeline, escrow, and embedded finance (explicitly post-Seed / Series A)
Revenue Projections
Conservative, Milestone-Driven Growth
Our revenue model is aligned to capital plan and FP&A assumptions, with clear gates tied to product maturity and market validation.
Year 1 (Post-Close)
$0 revenue — Full attention to product, infra, CurbScan/Terra Net ingestion, and pilots
Year 2
≈$200k revenue — Midpoint of $150–250k ARR range driven by subscriptions and early B2B/API deals
Q4 2026 Target
$1M+ ARR — Base/high scenarios under GTM and runway assumptions, positioning for Series A
Extended plan is non-binding and illustrative, but demonstrates clear path to meaningful scale with disciplined execution.
Go-To-Market Strategy
Initial Focus Markets (ORI-2)
Anchor Market
New Jersey: Summit/Union County, Hoboken, Montclair with live pilot deployments and municipal/zoning overlays
Expansion Markets
  • NY metro (immediate)
  • Florida or Texas via rigs 2-3
  • Potential third ORI-2 state (CA/WA/GA) based on signal
Freemium Funnel
Launch mobile-first with freemium predictive tools targeting ~15% long-term freemium→paid conversion
Smart Targeting
Use PropChain's own predictive capabilities to guide GTM spend and user segmentation for highest conversion potential
GTM Channels & Tactics
01
Content & Thought Leadership
Predictive market reports, local "next neighborhood" insights, technical content around Terra Net and CurbScan
02
Paid Digital Ads
KPI-gated tranches within $50k budget: $15k at Beta launch, $20k after 50 SQLs + 10 customers, $15k at $150k ARR
03
Partnerships
MLS-adjacent distribution, broker/lender/channel partnerships, civic/ESG-aligned collaborations
04
Founders-Led Sales
Early pilots and B2B/API relationships driven directly by founding team until KPI gates are met
KPI-Gated Hiring & Spend
Disciplined Capital Deployment
All major hiring and marketing spend decisions are tied to observable traction metrics, protecting runway and ensuring capital efficiency.
Digital Marketing Lead
Cash activation gated on:
  • 2+ live Alpha/Beta pilots with consistent weekly activity
  • 1,000+ monthly active free users
  • 3+ validated trigger events tied to conversion
Sales & CS Hire
Gated on:
  • 10+ paying accounts or 25+ seats
  • ≥$200k ACV pipeline with 3+ qualified opportunities
  • Healthy retention (NRR ≥100%)
Traction & Validation
761
Hatcher Score
Strong external assessment of problem/solution fit
50+
Pilot Evaluations
Property assessments across Tri-State area
92%
R&D Focus
Of historical spend in product/engineering
Founder-led outreach has generated dozens of pilots and conversations across MLSs, brokers, and institutional stakeholders. Internal product and UX briefs define a wide range of user personas, demonstrating robust problem discovery and product thinking.
Competitive Landscape
Differentiation Through Data & Intelligence
Competitive Set
  • Listing portals: Zillow, Redfin, Realtor.com — backward-looking search and media
  • iBuyers: Opendoor, Redfin — transaction plays
  • Point solutions: Analytics overlays, marketing platforms lacking curb-level data
PropChain's Moat
  • Proprietary curb-level data: Terra Net & CurbScan provide sensor-level data competitors lack
  • Secure transaction rails: Visual Transaction Pipeline with blockchain-backed workflows (post-Seed)
  • Explainable AI: Feedback loops and transparency in predictive models build trust with regulators and users
Historical Financials
Capital Efficiency Track Record
$47K
Total Spend 2023-2024
Founder-funded development
92%
R&D/Product Share
Engineering, tools, early hardware
$500
Pre-Seed Cash
Starting balance sheet position
$0
Net Cash Pre-Seed
After short-term obligations
This exceptional capital efficiency demonstrates the team's ability to build significant technical infrastructure and validate product-market fit with minimal capital.
Seed Use of Funds at $1.4M
Runway Across Raise Sizes
Flexible Capital Strategy
At base burn (~$58k/month), pre-scanning overlay, PropChain achieves the following runway scenarios:
SAFE dilution at the $15M post-money cap: $1.0M ≈ 6.7%, $1.4M ≈ 9.3%, $1.6M ≈ 10.7%. Pre-money holders retain roughly 90-93%.
Funding Requirements
Current Seed Round Structure
Instrument
YC-style post-money SAFE
Valuation Cap
$15M post-money
Discount
20% with MFN
Pro-Rata Rights
For checks ≥$100k
The Seed funds 24 months of product, infra, and data foundation (predictive MVP + Terra Net/CurbScan rig(s)), GTM validation, early ARR, and path to $1M+ ARR by Q4 2026—sufficient proof points to support a Series A focused on full transaction automation and broader geographic expansion.
Superseding Prior Scenarios

Important Notice: Previous internal documents referenced larger raise scenarios including a $2.4M Seed concept and multi-year $8.4M funding path. These are now treated as historical planning artifacts only.
The binding funding strategy for investors is the Seed SAFE band of $1.0–$1.6M with $1.4M target, $15M post cap, and the use-of-funds & runway described in Capital Plan v1.1.
Future rounds (e.g., Series A) will be timed based on ARR milestones, product maturity (Terra Engine + VTP), CurbScan/Terra Net coverage, and GTM performance in target markets.
Regulatory Positioning
Software & Data Company
PropChain is primarily a software and data company, not a brokerage. Our activities map to NAICS codes including 511210 (Software Publishers) and 541511 (Custom Computer Programming), with supporting roles in data processing and real estate-related services.
MLS/IDX compliance, data licensing, privacy, and security are covered in separate regulatory and InfoSec documents in the data room. This positioning allows us to operate with regulatory clarity while maintaining flexibility for future transaction features.
Roadmap & Milestones
24-Month Seed Journey
Pre-Alpha / Alpha
Core infra, Terra Net pipelines, internal tools, and first predictive models integrated in mobile app
Beta
MLS-backed pilots across NJ/NY + one ORI-2 expansion state; early ARR from subscriptions and B2B contracts
GTM
KPI-gated marketing ramp, expanded freemium funnel, and initial Sales/CS hire
Pre-Series A
Demonstrated ARR trajectory toward $1M+, validated unit economics, clear roadmap for transaction automation
Pricing Strategy
Subscription Tiers
PropChain adopts a freemium → Standard → Pro model, anchored to a 15% long-term freemium-to-paid conversion target.
API & Data Revenue
DaaS for B2B Partners
Usage-Based API Pricing
Tiered by API calls, properties scanned, and geographies accessed. Entry packages $500–2,000/mo for limited markets and basic endpoints, with expansion pricing for broader coverage.
Data Extracts / DaaS
Project-based licenses for curb-level + MLS + public data exports for analytics, underwriting or custom ML. Priced per geography, record count, and refresh frequency.
These lines are modeled as minority contributors during Seed (part of the $150–400k+ ARR scenarios) but become material contributors to the $1M+ ARR by Q4 2026 target.
Freemium Funnel & Growth Model
Path to Scale
The GTM plan is anchored on a freemium app with a long-term 15% free→paid conversion target, backed by Standard and Pro tiers.
25-35K
Cumulative Sign-ups
In focus markets by end of Seed runway
7-10K
Active Freemium Users
Monthly active free users
1,050-1,500
Paid Users
Standard + Pro seats at 15% conversion
$140-170
Blended ARPU
Per paying seat/month
At 1,200 paying seats × $150 blended ARPU, subscription ARR ≈ $216k; adding B2B/API/Data moves ARR into the $250–400k range by runway end.
Conversion Triggers
Driving Freemium to Paid
Product and GTM work together to instrument specific "aha" moments that correlate with willingness to pay:
Report Exports
Exporting or sharing detailed property or portfolio reports
Scenario Simulations
Running multiple renovation/scenario simulations for the same property or neighborhood
Curb-Level Access
Accessing curb-level overlays from CurbScan/Terra Net layers
Team Collaboration
Adding additional team members or collaborating on property lists
These triggers are gated behind Standard or Pro tiers, with time-boxed trials and usage-based upsell prompts to drive upgrades.
Path to $1M+ ARR by Q4 2026
Beyond Conservative Seed FP&A
The Q4 2026 $1M+ ARR goal is positioned as a base/high planning target beyond the conservative 24-month FP&A, assuming product and GTM hit the mid/high end of ARR by month 24.
6-9 Months Post-Close
Alpha/Beta in 2+ MLS/markets, 500+ MAU, first paid pilots
ARR: $0-50k
12-15 Months
10+ paying accounts / 25+ paid seats, B2B pilot(s)
ARR: $50-150k
18-24 Months
50-100+ paying accounts or 300-600 seats, 1-3 B2B/API deals
ARR: $150-400k
Q4 2026
Expanded markets, scaled self-serve & B2B
ARR: $1.0-1.2M (base/high)
$1M ARR Composition
Diversified Revenue Mix
At Q4 2026, a representative composition of $1M ARR demonstrates balanced growth across all revenue streams:
Subscriptions driven by 2,500–3,000 paying seats at blended ARPU $200–$220. APIs/DaaS from small portfolio of recurring B2B contracts. VTP/transaction from light-weight features within Seed scope.
GTM Budget Allocation
$90k Over 24 Months
All spending is KPI-gated and deployed in tranches based on observable traction. Paid ads released only when CAC/LTV and pipeline thresholds are met.
Content & SEO Strategy
Building Organic Demand
Goals
  • Become go-to resource for "where and what to renovate/invest" in target ORI-2 markets
  • Generate evergreen inbound demand that compounds over time
Tactics
  • Deep-dive content on local curb appeal, streetscape, and neighborhood dynamics
  • MLS/partner co-marketing content and case studies
  • Technical content around Terra Net, CurbScan, and predictive modeling
Spend primarily within the $20k PR/content/events bucket, plus founder time and low-cost tools. Focus on quality over quantity to build authority and trust.
Paid Digital Acquisition
Three-Tranche Deployment
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Tranche 1: $15k
Gate: Beta launch with 3-5 pilots live and positive NPS/product signals
Initial testing across Google Search, Meta, LinkedIn for pro and B2B buyers
2
Tranche 2: $20k
Gate: ≥50 SQLs and ≥10 paying customers with sustainable CAC/LTV
Scale top-performing campaigns and channels
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Tranche 3: $15k
Gate: ARR ≥ $150k with clear path to next priced round
Pre-Series A push and market expansion
CAC targets: B2C/small pros payback ≤9 months on Standard tier; Teams/B2B payback ≤12 months with strong expansion potential.
Partnerships & Distribution
MLS-Adjacent Force Multipliers
Strategic partnerships serve as force multipliers for user acquisition and data rights, working within MLS/IDX/VOW and licensing rules.
Co-Branded Pilots
Work with MLSs in ORI-2 states to validate product and gain distribution
Partner Enablement
Incentives and support within $20k partner enablement line
API Integrations
Connect with existing proptech and SaaS products used by agents and investors
Case Study Growth
Amplify pilot wins across channels to drive word-of-mouth
Sales Pipeline Snapshot
Current Commercial Opportunities
PropChain has 3-4 near-term brokerage/MLS-adjacent opportunities concentrated in OneKey (Westchester, NY), Northern New Jersey (NJMLS region), and a second-state candidate (FL or TX).
$120-150K
Modeled 1st-Year ACV
Unweighted across commercial pipeline
$70-90K
Weighted ACV
Probability-adjusted pipeline value
3-4
Qualified Opportunities
Near-term brokerage/MLS prospects
$0
Current Revenue
Pre-revenue, consistent with FP&A
All ACV figures are modeled, not booked. No signed LOIs or pilot term sheets yet. This pipeline provides credible path to Year 2 revenue range via 3-4 core brokerage relationships.
Commercial Pipeline Detail
Brokerage & MLS-Adjacent Prospects
Design Partners & Historical Pilots
Strategic Validation (Non-Commercial)
Historic pilots in Summit, Hoboken, Montclair, NJ and other Tri-State municipalities focused on permitting, zoning, and climate risk overlays. These have de-risked CurbScan/Terra Net and municipal workflows but are not yet tied to monetized products.
Municipal Zoning - Summit, NJ
Early proof-of-concept for Terra Engine's zoning, permitting, and infrastructure overlays on 50+ pilot properties
Municipal Zoning - Hoboken, NJ
Pilot work on zoning, density, and curb/infrastructure mapping for climate-aware development
Municipal Zoning - Montclair, NJ
Historic POC to refine architecture/style taxonomies and curb-level features
Strong qualitative endorsements demonstrate value for municipal and ESG workflows but not part of near-term Seed revenue model.
CIREG Advisory Relationship

Important Clarification: Christie's International Real Estate Group (CIREG) is confirmed as advisory-only. No pilot, no MLS feeds, no vendor slot. Strict brand/legal guardrails apply.
CIREG has validated security posture and pointed PropChain toward RESO/MLS Grid/Trestle and aggregator paths. Guidance to pursue pilot sponsorship via boutique brokerage participants and/or MLS aggregators (ListHub, MLS Grid, CoreLogic Trestle).
Maintain quarterly milestone-only updates and invite to non-MLS demos. Cannot be described as pilot sponsor, data source, or customer.
Pipeline Connection to Seed KPIs
Disciplined Path to Scale
The current pipeline provides a credible path to Year 2 revenue range via 3-4 core brokerage relationships with modeled ACVs of $30-50k each, aligning with GTM gating requirements.
Sales & CS Hiring Gate
≥10 paying accounts or ≥25 paying seats
Rolling pipeline ≥$200k ACV with ≥3 qualified B2B opportunities
Early cohorts with NRR ≥100%
Current Status
Multiple qualified opportunities in brokerage & MLS-adjacent channels
Modeled 1st-year ACV trending toward KPI gate
No signed LOIs or term sheets yet
Pipeline is intentionally pre-scaling: big enough to validate Seed plan and justify future investments once product and data rails are proven, but conservative enough to keep hiring and spend gated on observable traction.
Marketing Experiments & Metrics
Pre-Seed Through Early Seed
Direct cash spend on brand, website, and early marketing tests is in the low single-digit thousands (~$3k), including WordPress business plans, Unbounce trial, Fiverr contractors, and social media tools.
Brand & Narrative Foundation
Logo, app-shell, landing-page design. Basic analytics & UTM conventions. Early email captures via embedded forms.
Landing Page A/B Tests
Unbounce trial to test headline and hero copy. Predictive analytics messaging performed better than generic search copy.
Social Media Experiments
LinkedIn and X/Twitter presence. Long-form insight posts generated better engagement. MLS professionals showed interest in analytics positioning.
Micro-Budget Paid Tests
Small Twitter/social tests confirm interest in "renovation intelligence" themes. Professional audiences more efficient via organic + direct outreach.
Marketing Metrics Framework
Funnel Stages & KPIs
PropChain tracks performance across a standard B2C/B2B hybrid funnel with clear metrics at each stage:
1
Reach & Attention
Impressions, profile views, video views, site sessions
2
Interest & Intent
Clicks, time on page, scroll depth, key events
3
Lead Capture
Email signups, waitlist joins, pilot requests, demo requests
4
Qualification & Sales
SQLs, pilot/opportunity creation
5
Activation & Engagement
First-session completion, weekly active users
6
Retention & Monetization
30/90-day retention, free→paid conversion, ARPU, NRR
Early Marketing Learnings
Directional Insights
Top-of-Funnel
  • "Predictive home intelligence" and "curb-level data" clearly differentiate from generic portals
  • Professional audiences most efficiently reached through founder-led LinkedIn outreach and targeted content
Mid-Funnel
  • Focused landing pages with one primary CTA reduce friction and increase form completion
  • MLS/broker leads prefer clear explanation of data sources, compliance, and pilot structure
Current metrics are directional due to small budgets and sample sizes. FP&A model uses conservative CAC assumptions and designs GTM tranches to ensure payback discipline once meaningful data accumulates.
Forward-Looking Experiments
Aligned with Seed Plan
Tranche 1: Beta Launch (Months 6-10)
Structured A/B tests on pricing pages and product-led signup flows. Paid search/social tests with larger budgets to refine CPL. Content experiments targeted at renovators and investor-pros.
Tranche 2: Early Revenue (Months 12-18)
Scale top-performing paid campaigns. Sophisticated retargeting of visitors and email subscribers. Multi-step nurture sequences.
Tranche 3: Toward $150k+ ARR (Months 18-24)
Partner and affiliate experiments with MLS-adjacent providers. Co-marketing with early B2B partners. Geo-targeted campaigns in ORI-2 focus states.
User Segment Benefits
Plain-Language Value Stories
Terra Engine and Terra Net translate into concrete value for each key user segment:
Homeowners & Sellers
Project-level recommendations with predicted uplift ranges. Avoid over-improving in low-ROI areas, highlight high-ROI projects that increase sale price or speed time-to-contract.
Renovators & Flippers
Predictive search filters universe to "shovel-ready" candidates. Fewer dead-end properties underwritten, better deal-per-hour productivity, reduction in costly mis-priced flips.
Agents & Brokerages
Data-backed upgrade plans and curb-level context differentiate in listing presentations. Higher win-rate, improved client trust, more efficient use of time.
MLSs & Institutions
Predictive and curb-level intelligence surfaces hidden inventory and renovation opportunities. Increased professional engagement, new revenue opportunities, better risk oversight.
Equity Structure & Ownership
SAFE Terms & Dilution
YC-style post-money SAFE with standard mechanics and no unusual side letters that materially alter economics.
6.7%
At $1.0M Raise
Of fully diluted equity at $15M cap
9.3%
At $1.4M Raise
Target raise dilution
10.7%
At $1.6M Raise
Maximum dilution at hard cap
90-93%
Pre-Money Holders
Founder + contractors/advisors + pool
Founder retains 80-90% of pre-money fully diluted equity. Contractor/advisor warrants (DS/MLE, FSMAD, Digital Marketing Lead, others) represent 5-10% combined.
Product Scope: In vs Out
Clear Boundaries for Seed
In-Scope for Seed
  • Predictive MVP / Terra Engine (PropPredict, Property Oracle, core recommendation/valuation)
  • CurbScan / Terra Net ingestion to support pilots
  • MLS-backed pilots in ORI-2 markets
  • Freemium app and early B2C/B2B traction
Out-of-Scope (Post-Seed / Series A)
  • Crowdfunding/investment marketplace
  • Full transaction pipeline / escrow / embedded finance
  • Broad multi-sided marketplace features
  • Fleet expansion to 5-10+ rigs beyond Seed justification
Investors understand these as future upside, not funded out of Seed. Clear scope management protects runway and ensures focus on core validation.
ORI-2 Market Selection
Strategic Geographic Focus
Strategic focus on top-15 ORI-2 states: CA, NY, FL, TX, WA, NJ, MD, VA, CO, GA, NC, OR, MA, AZ, NV. ORI-2 ranking is a good proxy for "Adoption & Engagement Potential."
01
Start: NJ (Summit/Union County)
Anchor market with live pilot deployments and municipal/zoning overlays
02
Extend: NY Metro
Lighthouse partners and OneKey MLS territory
03
Add: FL or TX
Second- and third-state targets based on ORI-2 ranking
04
Phase C: CA/WA/GA
Third state selected based on early signal and traction
Red Flags & Watch-Points
Honest Assessment for Diligence
Pre-Revenue Status
No signed LOIs or pilot term sheets yet. All ACV figures are modeled, not booked. Consistent with Seed FP&A base case (Year 1 = $0 revenue).
Pipeline Concentration
Near-term pipeline concentrated in small number of boutique brokerages in OneKey and NJMLS territories. Loss or delay would push out revenue timelines.
Scanning Program Aggressiveness
3-rig A+B+C scenario is stress-test at $1.4M, only fully comfortable at $1.6M. Any marketing promising aggressive multi-market coverage at lower raise should be caveated.
Early-Stage Marketing Data
Paid and organic experiments conducted with very small budgets. CPL and conversion metrics are directional only, not statistically robust.
Execution Discipline Required
Plan relies on not spending GTM dollars or hiring ahead of signal. If discipline wavers, runway could compress toward high-burn 17-18 month scenario.
Why PropChain Wins
Competitive Advantages
Proprietary Data Moat
Terra Net & CurbScan provide sensor-level curb data competitors lack. NAS-first architecture enables cost-efficient ML at scale.
Explainable AI
Feedback loops and transparency in predictive models build trust with regulators and users. Shows why properties rank and what drives value.
Mobile-First Experience
Phone-first workflows migrate decision and closing journey into single guided experience. Responsive design for modern users.
Capital Efficiency
$47k founder-funded spend with 92% in R&D demonstrates ability to build with minimal capital. Equity-first hiring model extends runway.
Investment Opportunity
Join Us in Redefining Real Estate
PropChain represents a unique opportunity to invest in the future of real estate intelligence. We're building the predictive layer that transforms how properties are discovered, valued, and transacted.
Proven Team
Exceptional capital efficiency and technical execution demonstrated through $47k of founder-funded development
Massive Market
$12B+ predictive analytics TAM in real estate, growing at 24%+ CAGR with strong VC appetite ($8.9B+ in 2023)
Clear Path to Scale
Disciplined roadmap from $0 to $1M+ ARR with KPI-gated spending and validated unit economics
Proprietary Advantage
Terra Net & CurbScan create defensible data moat that competitors cannot easily replicate