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Historical Change Detection in Satellite Imagery

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cover

Stellitron: Geospatial Intelligence

Historical Change Detection in Satellite Imagery

Contact listed in the concept

contact@stellitron.com

Tagline

Proposed funding ask

$3,000,000

Proposed value

Low-Signal Change Detection
Superior to Landmark-Biased VLMs
10x LTV/CAC for PropTech Monitoring

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problem

The Problem: The VLM Blind Spot

Generic changes drive real estate value, but existing models only see landmarks.

The challenge

Existing Vision-Language Models (VLMs) used in geospatial intelligence are heavily biased toward recognized landmarks. They fail to accurately monitor generic, widespread construction or demolition events crucial for detailed urban development tracking and risk assessment.

Pain points

High Risk: Failure to detect non-permitted construction or demolition (low-signal events).
Bias: VLMs are trained on landmarks, ignoring 95% of critical, subtle change data.
Financial Loss: Unacceptable risk for insurance, infrastructure monitoring, and valuation.

Research claim

Label: Outperformance needed for generic construction detection.
Value: 25%
Source: Stellitron Internal Benchmarking (Q3 2025 Goal)

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solution

The Stellitron Solution

A Spatio-Temporal Neural Network for Ubiquitous Change Detection

Steps

Desc: Curated dataset of low-signal, high-volume change events across diverse global geographies.
Title: Proprietary Dataset

Desc: Model designed for rapid, low-latency processing of multi-temporal satellite data (10 years of history in <1 hour).
Title: Spatio-Temporal Architecture

Desc: Seamless integration into existing GIS, PropTech, and insurance underwriting platforms.
Title: API Integration

Description

We are building a spatio-temporal neural network specifically optimized for low-signal change detection. Our VLM is trained on 'negative change' and subtle structural alterations, prioritizing temporal coherence over semantic recognition to achieve superior generalization for real estate monitoring.

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market

Market Opportunity: Real Estate Monitoring

Targeting the $15B PropTech Monitoring Segment

Serviceable market

$15 Billion (Geospatial PropTech Monitoring)

Obtainable market

$750 Million (5% of SAM within 5 years)

Total addressable market

$300 Trillion (Global Managed Real Estate)

Quote

The global professionally managed real estate market is estimated to be in the hundreds of trillions of dollars globally, encompassing commercial, residential, and investment properties.

Source

MSCI Real Estate Market Size 2024 Index Perspective

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competition

Competitive Landscape

Differentiating through Low-Signal, Generic Change Detection

Features

Generated feature comparison · unverified
Feature	EagleView (Aerial)	OnGeo (Geospatial)	Flypix (General AI)	Stellitron (AI-Powered Change Detection)
High-Resolution Data Acquisition	High (Proprietary Aerial)	Medium (Third-Party Satellite)	Medium (Third-Party Satellite)	Medium (Third-Party Satellite)
Landmark/Object Recognition	High	Medium	High	Medium
Generic/Low-Signal Change Detection	Low (Focus on Measurement)	Medium (Early Stage)	Medium (Generalist)	High (Core Focus)
Spatio-Temporal Optimization	Low (Slow Refresh)	Medium	Medium	High (Proprietary Architecture)

Competitors

EagleView (Aerial)
OnGeo (Geospatial)
Flypix (General AI)
Stellitron (AI-Powered Change Detection)

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business model

Business Model: High-Value SaaS

Targeting institutional clients with high LTV/CAC (10x)

Projected indicators

Cac: $8,000
Ltv: $80,000
Ltv cac ratio: 10x

Streams

Desc: Annual contracts for portfolio monitoring, covering defined areas of interest (AOIs) and change alerts.
Title: Enterprise SaaS Subscription
Value: $50k - $300k / yr

Desc: One-time fees for deep historical analysis (due diligence, litigation support, forensic monitoring).
Title: Historical Data Processing (Usage Based)
Value: $5 - $10 / sq km

Desc: Licensing our VLM inference engine for integration into insurer claims processing or asset management platforms.
Title: API Integration & Volume Licensing
Value: Tiered Volume Discounts

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traction

Traction & Milestones (2025-2026)

Achieving 90% precision on critical, generic construction starts.

Metrics

Generated metric claims · unverified
Label	Value
Precision Goal (Q3 2025)	90% on Generic Construction Starts
Commercial Outperformance	25% over Leading Alternatives
Pilot Contracts Target (Q4 2025)	2-3 Tier 1 Reinsurers/Global Funds

Client name

Prospective Institutional Investor

Unverified testimonial

Our ability to automatically track subtle changes in property valuation across our portfolio is critical for managing risk and optimizing returns. Stellitron's focus on non-landmark changes fills a major gap.

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financials

Financial Projections

Targeting $25M in Annual Recurring Revenue by Y5

Projected indicators

LTV / CAC: 10x
Som target: $750M
Cagr projection: 28%

Revenue projections

Generated revenue projections by year · unverified
Year	Revenue
Y1	$0.5M
Y2	$2.0M
Y3	$5.0M
Y4	$12.0M
Y5	$25.0M

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ask

The Ask: $3 Million Seed Round

Fueling Product Development and Enterprise Pilot Programs

Round

Seed Round

Amount

$3,000,000

Runway

18 Months

Allocation

Sales & Marketing (Pilot Program Execution & BD): 20%
Operations & Infrastructure (Cloud Compute/Legal): 10%
Team Expansion (3 Senior Data Scientists/Engineers): 30%
Product Development & R&D (Model Training/Data Curation): 40%

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exit

Exit Strategy

Strategic Acquisition by Geospatial, Insurance, or Financial Data Providers

Scenarios

Type: Strategic Acquisition (High Probability)
Timeframe: 5-7 years
Valuation: $150M
Description: Acquisition by a major GIS platform (e.g., Maxar/ESRI), large insurer (e.g., FM Global), or financial data provider needing high-fidelity temporal data.

Type: Accelerated Acquisition (Medium Probability)
Timeframe: 6-8 years
Valuation: $200M
Description: Strong growth and market dominance leading to acquisition by a large PropTech data aggregator.

Type: IPO/Large Acquisition (Low Probability)
Timeframe: 8+ years
Valuation: $300M+
Description: Achieving scale and significant market share, requiring accelerated growth and successful expansion into adjacent verticals (defense/infrastructure).

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risks

Risk Analysis & Mitigation

Addressing the highest probability, highest impact factors.

Risks

Risk: Intense competition from established incumbents (EagleView) who might quickly replicate features.
Category: Market
Mitigation: Focus on a niche vertical (specific insurance claims) and establish strong data partnerships for exclusive access to proprietary historical metadata.

Risk: Scalability issues related to processing petabytes of historical satellite imagery data efficiently (cost/latency).
Category: Technical
Mitigation: Develop a highly optimized, cloud-native processing pipeline utilizing specialized hardware (GPUs/TPUs) and implement intelligent data compression/indexing.

Risk: High upfront capital expenditure required for data acquisition and cloud computing resources, leading to rapid cash burn.
Category: Financial
Mitigation: Secure staged funding tied to key technical milestones. Negotiate multi-year, volume-based discounts with key satellite data providers and cloud vendors.

Risk: Key person risk associated with the lead geospatial data scientist specializing in time-series analysis.
Category: Team
Mitigation: Implement strong knowledge transfer protocols and cross-train junior team members. Offer competitive compensation and equity packages to retain top talent.

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sources

Sources & References

Contact listed in the concept

contact@stellitron.com

Sources

Source link: https://msci.com/research-and-insights/paper/msci-real-estate-market-s
Type: Market Analysis (TAM)
Title: MSCI Real Estate Market Size 2024: An Index Perspective

Source link: N/A (LinkedIn Snippet)
Type: Market Analysis (SAM/SOM)
Title: Real Estate Property Management Services Market Size, SAM/SOM & TAM Scope 2026-2033

Source link: https://www.eagleview.com/eagleview/aerial-maps-for-commercial-real-estate/
Type: Competitor Intelligence (EagleView)
Title: Aerial Maps for Commercial Real Estate: A Complete Guide | Eagleview US

Source link: https://flypix.ai/blog/change-detection-tools/
Type: Competitor Intelligence (Flypix)
Title: Top Change Detection Tools for Earth Observation and Monitoring

Source link: https://pro-docs.maxar.com/en-us/Analytics/Analytics_change.htm
Type: Market/Competitor Context (Maxar)
Title: Change Monitoring (CM)

Source link: N/A (Snippet)
Type: Funding/Exit Context
Title: Hyperspectral Imaging and Remote Sensing Sector M&A Transactions and Valuations

Disclaimer

This pitch deck is AI-generated for illustrative purposes. All financial projections, valuations, and market data are estimates and should be validated with professional advisors.

Data sources

Stellitron AI Pitch Deck Generation Engine
Exa AI Web Search Data (December 25, 2025)
MSCI 2024 Index Perspective
Internal Stellitron Financial Modeling & Unit Economics

Generated by

Stellitron AI

The PDF includes a contact slide and a clickable link to reach us on every page.

stellitron.com/contact