Historical Change Detection in Satellite Imagery - Investor Pitch Deck

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cover

Stellitron: Geospatial Intelligence

Historical Change Detection in Satellite Imagery

$3,000,000

Low-Signal Change DetectionSuperior to Landmark-Biased VLMs10x LTV/CAC for PropTech Monitoring

contact@stellitron.com

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problem

The Problem: The VLM Blind Spot

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

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.

⚠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.

Outperformance needed for generic construction detection.

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

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.

Proprietary Dataset

Curated dataset of low-signal, high-volume change events across diverse global geographies.

Spatio-Temporal Architecture

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

API Integration

Seamless integration into existing GIS, PropTech, and insurance underwriting platforms.

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market

Market Opportunity: Real Estate Monitoring

Targeting the $15B PropTech Monitoring Segment

Total Addressable Market

$300 Trillion (Global Managed Real Estate)

Serviceable Market

$15 Billion (Geospatial PropTech Monitoring)

Obtainable Market

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

“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.”

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competition

Competitive Landscape

Differentiating through Low-Signal, Generic Change Detection

Competitive Landscape

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

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)

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business model

Business Model: High-Value SaaS

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

Enterprise SaaS Subscription

$50k - $300k / yr

Annual contracts for portfolio monitoring, covering defined areas of interest (AOIs) and change alerts.

Historical Data Processing (Usage Based)

$5 - $10 / sq km

One-time fees for deep historical analysis (due diligence, litigation support, forensic monitoring).

API Integration & Volume Licensing

Tiered Volume Discounts

Licensing our VLM inference engine for integration into insurer claims processing or asset management platforms.

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traction

Traction & Milestones (2025-2026)

Achieving 90% precision on critical, generic construction starts.

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

“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

Yearly Revenue Projections

Revenue$0.5M

Revenue$2.0M

Revenue$5.0M

Revenue$12.0M

Revenue$25.0M

Key Performance Indicators

LTV/CAC Ratio

10x

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ask

The Ask: $3 Million Seed Round

Fueling Product Development and Enterprise Pilot Programs

$3,000,000

Seed Round

Runway: 18 Months

Use of Funds

Sales & Marketing (Pilot Program Execution & BD)

20%

$600,000

Operations & Infrastructure (Cloud Compute/Legal)

10%

$300,000

Team Expansion (3 Senior Data Scientists/Engineers)

30%

$900,000

Product Development & R&D (Model Training/Data Curation)

40%

$1,200,000

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exit

Exit Strategy

Strategic Acquisition by Geospatial, Insurance, or Financial Data Providers

Exit Scenarios

Strategic Acquisition (High Probability)

Valuation

$150M

Timeframe

5-7 years

Accelerated Acquisition (Medium Probability)

Valuation

$200M

Timeframe

6-8 years

IPO/Large Acquisition (Low Probability)

Valuation

$300M+

Timeframe

8+ years

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risks

Risk Analysis & Mitigation

Addressing the highest probability, highest impact factors.

Risk Analysis & Mitigation

Market

Intense competition from established incumbents (EagleView) who might quickly replicate features.

Mitigation Strategy

Focus on a niche vertical (specific insurance claims) and establish strong data partnerships for exclusive access to proprietary historical metadata.

Technical

Scalability issues related to processing petabytes of historical satellite imagery data efficiently (cost/latency).

Mitigation Strategy

Develop a highly optimized, cloud-native processing pipeline utilizing specialized hardware (GPUs/TPUs) and implement intelligent data compression/indexing.

Financial

High upfront capital expenditure required for data acquisition and cloud computing resources, leading to rapid cash burn.

Mitigation Strategy

Secure staged funding tied to key technical milestones. Negotiate multi-year, volume-based discounts with key satellite data providers and cloud vendors.

Team

Key person risk associated with the lead geospatial data scientist specializing in time-series analysis.

Mitigation Strategy

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

Generated by

Stellitron AI

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

References

MSCI Real Estate Market Size 2024: An Index Perspective

Market Analysis (TAM)

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Real Estate Property Management Services Market Size, SAM/SOM & TAM Scope 2026-2033

Market Analysis (SAM/SOM)

View →

Aerial Maps for Commercial Real Estate: A Complete Guide | Eagleview US

Competitor Intelligence (EagleView)

View →

Top Change Detection Tools for Earth Observation and Monitoring

Competitor Intelligence (Flypix)

View →

Change Monitoring (CM)

Market/Competitor Context (Maxar)

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Hyperspectral Imaging and Remote Sensing Sector M&A Transactions and Valuations

Funding/Exit Context

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For inquiries, contact:

contact@stellitron.com

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.