PropChain Seed Capital Plan
Confidential - For Diligence Review Only
Version: Master v1.1 (Aligned to Capital Plan, Investor Terms, Appendix A)
Version: Master v1.1 (Aligned to Capital Plan, Investor Terms, Appendix A)
PropChain is a PropTech 3.0, AI-first, mobile-centric real estate platform that unifies discovery, valuation, and eventually closing into one guided workflow. Instead of static listings, PropChain adds a real-time predictive layer powered by Terra Engine and proprietary curb-level data from CurbScan, enabling users to discover, analyze, and act in one place.
PropChain Seed Capital Plan
Investor & Advisory Diligence
This document is PropChain's authoritative Seed planning, financing, product, technical, predictive, compliance, scanning, GTM, hiring, and financial execution plan for the full 24-month Seed cycle.
It consolidates:
- Seed Round Terms & SAFE mechanics
- FP&A and runway mathematics
- Predictive engine architecture
- Terra Net ingestion & scanning program
- Mobile app & dashboard design
- Hiring and KPI-gated GTM sequencing
- MLS/IDX compliance
- Market landscape & execution roadmap
This is the source of truth. The accompanying Summary provides an abbreviated high-level version and links back to this master for details.
Executive Summary
1.1 Purpose of This Document
This Master Seed Capital Plan serves as PropChain's comprehensive internal + external diligence package for prospective Seed investors, advisors, and strategic partners. It establishes:
Capital Deployment
Full clarity on how PropChain will deploy between $1.0M and $1.6M of Seed capital.
Financial Constraints
The exact financial constraints, burn ceilings, and runway targets.
Technical Blueprint
The technical and product blueprint behind Terra Engine, Terra Net, CurbScan, and the predictive mobile experience.
GTM Integration
How these pieces integrate into a coherent GTM and early revenue strategy.
Cross-Functional Sequencing
The cross-functional sequencing required to deliver a predictive-first real estate experience.
This document supersedes all earlier planning memos, prior FP&A drafts, and the legacy $2.4M planning scenario. Capital Plan (v1.1) + Appendix A modeling assumptions are binding.
1.2 Seed Objectives: What the Seed Round Must Deliver
PropChain's Seed round funds the milestone path that gets the company from zero cash to a validated, deployable, revenue-generating predictive intelligence product with MLS-backed pilots. The objectives:
01
Ship the predictive MVP (Terra Engine)
Deliver valuation, price trajectory, curb/reno intelligence, and block-level predictive signals integrated into a responsive app experience.
02
Deploy Terra Net & CurbScan ingestion
Power Terra Engine with curb-level proprietary data, GPS alignment, telemetry, and MLS-timestamp fusion.
03
Complete the freemium mobile app + partner dashboards
Give consumers and professionals predictive insights not available in the market today.
04
Operate Alpha → Beta → GTM pilots
Execute MLS-backed pilots in NJ + 1–2 ORI-2 states with curb and MLS fusion.
05
Maintain 22–24 months runway at $1.4M
Stay within the financial envelope strictly defined by the capital plan.
1.3 Seed Round Structure
Investment Terms
- Instrument: YC-style Post-Money SAFE
- Valuation Cap: $15,000,000 post-money
- Discount: 20%
- MFN: Included
- Pro-rata rights: For checks ≥ $100k
Raise Band
- Minimum close: $1.0M
- Target: $1.4M
- Hard cap: $1.6M
Investor Framing
"Target is $1.4M, will close between $1.0M and $1.6M."
"Closing at $1.2M is operationally acceptable but reduces runway by ~3–4 months."
1.4 Seed Round Snapshot
Use-of-Funds at $1.4M:
Runway Expectations:
- Base burn ~$58k/mo → ~22–24 months runway
- Low burn → up to 31 months
- High burn → 17–18 months
Seed Deliverables: Predictive MVP, ingestion MVP, mobile app, dashboards, MLS pilots, initial ARR.
1.5 Non-Negotiable Constraints
These constraints govern all execution:
Must remain within $1.4M envelope (if target reached).
Must protect ~$180k reserve (unless using for upside acceleration).
Must maintain NAS-first + Azure-when-needed infra to control data cost.
Must follow MLS/IDX compliant data boundaries.
Must keep marketplace/transactional features strictly Post-Seed.
Must gate hiring + GTM spend by objective KPI triggers.
Must retain ~90–93% founder + service provider equity ownership pre-conversion.
1.6 Document Map & Navigation
This master version contains:
Legal & Corporate Foundations
2.1 Governance & Authority
PropChain LLC authorized the Seed round through Manager/Member consents:
- Approval of the Seed SAFE raise with cap/discount/MFN/pro-rata terms exactly as stated.
- Authorization to issue SAFEs up to $1.6M.
- Confirmation of service provider warrants (FSMAD, DS/MLE).
- Ratification of IP assignment and ownership structure.
- Delegation of authority to execute SAFEs and related documents.
2.2 Prior Capital Contributions
PropChain has no prior outside investors and no debt, notes, SAFEs, or preferred equity instruments.
Founder contributions:
- $47,055 total spend (2023–2024):
- ≈92% in R&D, product, hardware, infra, and design.
- Pre-raise cash balance ≈ $500.
- Short-term obligations ≈ $4,000 (cleared post-raise).
PropChain begins the Seed round with clean capitalization and full IP ownership.
Capitalization & Investment Terms
3.1 SAFE Economics (YC Post-Money)
Mechanics
- Fixed post-money SAFE mechanics.
- Discount (20%) and cap ($15M) apply at next equity financing.
- Each SAFE investor's ownership % is determined immediately at signing: Investment ÷ $15M.
Examples
3.2 Raise Scenarios & Dilution Bands
Pre-money (founder + service providers + future pool) retains ~90–93% pre-conversion.
3.3 Cap Table (Pre-Seed)
Founder
Controlling majority
FSMAD warrant
Aligned to product + ML milestones
DS/MLE warrant
Aligned to predictive training + data alignment milestones
Marketing & ETL warrant placeholders
Up to 2,000 units each
ESOP
Created at priced round (not at SAFE stage)
3.4 Series A Conversion Example
If Series A = $40M pre / $10M raise → post = $50M
1
SAFE investors convert
At the better of cap discount vs $40M pre
2
Pro-rata investors
(≥$100k) have the right to maintain ownership % in round
Financial Plan & Use of Funds
4.1 FP&A Overview
24-month model, base-case burn:
$40.4k
Y1 Monthly Burn
Average monthly burn rate in Year 1
$61.2k
Y2 Monthly Burn
Average monthly burn rate in Year 2
$50.8k
Average Burn
24-month average (excluding contingency)
4.2 Use of Funds Table (canonical)
4.3 Runway Matrix
4.4 Revenue Expectations
Year 1
$0
Focus on product development and pilot deployment
Year 2
~$200k
Midpoint ARR from subscriptions + API/data + early B2B partners
Conservative by design; upside mapped but not committed
Product & Technology
5.1 Terra Engine — Predictive Layer
Overview
Terra Engine is PropChain's predictive intelligence stack providing:
Valuation
Real-time property valuations with curb-level augmentation
Price Trajectory
Forward-looking pricing predictions
Block-Level Desirability
Micro-neighborhood intelligence and scoring
Renovation ROI
Project scoring and expected uplift analysis
Market Momentum
Real-time market cycle detection
MLS + Curb Fusion
Proprietary data integration layer
All outputs flow into predictive cards in the mobile app and dashboards.
Core Models
AVM++
Valuation with curb-level augmentation
Trajectory Model
Forward-looking pricing
Trend-Phase Detection
Local cycle classification
Reno-ROI Engine
Project scoring and expected uplift
Micro-Block Predictive Layer
Parcel/block environment inference
Data & Feature Architecture
MLS-safe cores
Compliant data foundations
Curb-level imagery & signals
Proprietary CurbScan data
Temporal features
Time-series analysis
Geospatial embeddings
Location intelligence
Normalized neighborhood identifiers
Consistent geographic taxonomy
Feature partitioning for compliance
Training-safe vs display-safe separation
Training & Inference Pipeline
Infrastructure
- NAS-first
- Azure-when-needed burst jobs
- Sub-5s inference requirement
Governance
- Model lineage tracking
- Automated audits for MLS compliance
Integration
1
Predictive card API
RESTful endpoints
2
Mobile/Dashboard schemas
Unified data contracts
3
Versioned outputs
Backward compatibility
4
Error handling + fallback values
Graceful degradation
5.2 Terra Net — Ingestion & CurbScan Layer
Overview
Terra Net captures curb-level signals using on-vehicle scanning, GPS alignment, telemetry, and MLS timestamp fusion.
Terra Net is PropChain's proprietary data advantage: curb-level intelligence that no other platform possesses, powering unique predictive insights through CurbValue, CurbCraft, and ArchiSpect tools.
Rig Architecture (Jetson AGX Orin)
GoPro
High-resolution curb imagery capture
LIDAR
3D spatial mapping
Sensors
Environmental telemetry
Stabilization mounts
Vibration dampening
SSD + LTE modem
Local storage and connectivity
Telemetry firmware
Real-time data processing
Ingestion Pipeline
1
GoPro → Jetson
On-device capture and initial processing
2
Jetson → NAS
Local network transfer
3
NAS → Azure
Cloud sync for processing
4
ETL normalization
Data cleaning and standardization
5
Parcel matching via GPS + reverse geo
Property identification
6
MLS timestamp pairing
Temporal alignment
7
Feature extraction
ML-ready data products
Proprietary Data Products
Curb-condition
Exterior maintenance scoring
Parking/frontage
Access and visibility metrics
Exterior maintenance index
Property upkeep signals
Microblock ROI signatures
Renovation opportunity detection
Neighborhood desirability
Block-level appeal scoring
Compliance Boundary
MLS display rules observed
IDX rules fully respected
Training-safe vs display-safe fields partitioned
CurbScan data is proprietary and does not rely on MLS restricted elements
5.3 Mobile App & Dashboards
Mobile Experience
PropChain's iOS/Android apps deliver a unified on/off-market search experience with real-time predictive intelligence:
Predictive home search
AI-guided discovery with Property Oracle / PropPredict pricing and risk analysis
Map/list toggle
Flexible viewing with curb- and neighborhood-level overlays
Personalized insights
Explanatory AI showing why properties rank and what drives valuation changes
Saved searches & alerts
Real-time notifications on market shifts and opportunities
Predictive cards
Integrated CurbValue, CurbCraft, and ArchiSpect insights
Predictive Card System
Each card includes:
Core Intelligence
- Valuation
- Trajectory
- Curb intelligence
Actionable Insights
- Renovation ROI
- Market context
Pro & Partner Dashboards
Client insights
Deep analytics on buyer/seller behavior and preferences
Lead conversion intelligence
Predictive scoring and engagement tracking
Portfolio view
Multi-property management and analysis
Market shifts & alerts
Real-time notifications on opportunity clusters
Routing Tree & Component System
Global navigation shell
Consistent cross-platform UX
Predictive feed
Personalized property stream
Map engine
Interactive geospatial interface
Card components
Modular predictive insights
Modal architecture
Deep-dive detail views
Offline caching layer
Resilient data access
Scanning Economics & Deployment
Program Economics
Per rig:
$14k
CapEx
One-time hardware investment per CurbScan rig
$5.9k
OpEx/month
Monthly operating cost per rig
1,050
Miles/month
Scanned curb-miles per rig per month
$5.60
Cost/mile
Fully-loaded cost per scanned curb-mile
Phased Deployment (24 months)
1
Phase A (Months 1–9)
1 rig (NJ + NY Metro)
2
Phase B (Months 10–18)
2 rigs (NJ/NY + FL or TX)
3
Phase C (Months 19–24)
3 rigs (add CA/WA/GA depending on GTM signal)
47,250 scanned curb miles
Total coverage in 24 months
Feasibility by Raise Size
7 — GTM & Commercial Strategy
Value Proposition
"Discover, analyze, and close on property in one place—turning opaque, slow real estate workflows into a real-time, AI-guided experience for every stakeholder."
Predictive-first experience
AI-powered insights not available elsewhere
Transparent neighborhood intelligence
Block-level context and desirability
Ground truth curb-level signals
Proprietary CurbScan data advantage
Renovation ROI insights
CurbCraft project scoring and uplift
Market-phase context
Trend detection and cycle classification
Pricing (Seed-Stage)
Freemium tier
Basic search and limited predictive cards
Standard: ~$99/mo
Full predictive intelligence for consumers
Pro: ~$299/mo
Professional tools and dashboards
API/B2B
Contracted pricing for enterprise partners
Marketplace & transactional revenue = post-Seed
GTM Plan
Content engine
Educational content on predictive intelligence
Paid ads in 3 KPI-gated tranches
Performance-driven acquisition
Pilot-driven distribution via MLS partners
Strategic channel partnerships
Professional channels
Agent and broker networks
Team, Hiring & Equity
Current Team
Core Team
- Founder (CEO, Product, Technical Architect)
- FSMAD (mobile & FE systems)
- DS/MLE (predictive modeling)
- Advisors & part-time contributors
Equity-first hiring model: Service provider warrants aligned to milestone delivery, preserving cash runway while attracting top talent.
KPI-Gated Hiring Plan
Business Ops/PM
Gate: Alpha pilot launch
2nd Engineer
Gate: Mobile app beta deployment
Digital Marketing Lead
Gate: 500 MAU + positive unit economics
Sales/CS
Gate: 10 qualified B2B leads
ETL Data Engineer
Gate: 2-rig deployment + ingestion backlog
Each with specific KPI gates before cash activation.
Equity Architecture
1
2
3
4
1
Founder retains majority
2
FSMAD + DS/MLE warrants
3
Marketing + ETL warrants (optional activation)
4
ESOP created at priced round
Security, Privacy & Compliance
Security Plan
Layered access control
Role-based permissions and least-privilege principles
Encryption in transit + at rest
TLS 1.3 and AES-256 standards
Incident response
Documented procedures and escalation paths
Threat model for ingestion
CurbScan data pipeline security
Privacy & Data Governance
CCPA/CPRA compliant
California privacy law adherence
MLS/IDX compliant
Real estate data display rules
Data retention windows
Defined lifecycle policies
PII protection
Anonymization and access controls
10 — Market & Competitive Landscape
TAM/SAM/SOM Summary
Predictive intelligence market
Emerging AI-powered real estate analytics
Agent tools + proptech enterprise market
Professional software and data services
Renovation ROI + curb data emerging markets
New category creation opportunity
Competitive Positioning
PropChain differentiates through:
Predictive-first foundation
AI-guided experience vs. static listings
Curb-level proprietary data
CurbScan competitive moat
Real-time valuation + ROI cards
Instant, actionable intelligence
Block-level micro-signal intelligence
Neighborhood context no one else has
Appendices
Detailed financial modeling assumptions, burn rate scenarios, and sensitivity analysis available in the full FP&A model. All projections are conservative and stress-tested across multiple raise scenarios.
24-month model with raise-size scenarios.
24
Months
Full planning horizon
4
Scenarios
$1.0M / $1.2M / $1.4M / $1.6M
3
Burn Profiles
Low / Base / High
Comprehensive financial model available for qualified investors under NDA.