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SkyReview Satellite Imaging Software

We globally offer the world's first property analytics platform with integrated image enhancement and persistence induced fidelity.

Now in Beta. Limited access now available.

Request Beta Access

Fill out this form and we’ll get in touch to schedule your SkyReview demo.

introduction

What is SkyReview?

SkyReview's satellite imaging software was born out of a curiosity for discovering the unknown. We are pleased to introduce SkyReview Beta, the world's very first property analytics platform with integrated image enhancement through Super-Resolution and sub-surface spectral tracking.

  • Innovation

    Our platform is unique because it harnesses novel methodologies for assessing satellite imagery and breakthroughs in image enhancement called Super-Resolution.

  • Efficiency

    Unlike competitors with expensive overhead, we utilize public satellite imagery & spatially enhance it to provide greater clarity.

  • Expertise

    Our model combines acquired domain knowledge across architecture, building envelope, & roofing industries to calculate property data into valuable analytics to help guide portfolio management.

How does it work?

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Sentinel-2 Satellite, European Space Agency
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SEN2SR Super-Resolution, Miami Coastline
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SEN2SR Hypercube, Miami Coastline
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Monthly Scan - Temporal Spectral Trajectory Analysis, Miami Coastline (see the Advanced Literature Survey in the Technical Resources below for more information on TSTA)
1

Sentinel Satellite Constellation Imagery

The European Space Agency's Sentinel-1A/B & Sentinel-2A/B satellites harvest spatial imagery while in low earth orbit, on 5-6 day cycles, producing multiple scans per month. Scans produce imagery with 13 spectral bands, including infrared that enables our moisture detection feature.

2

Google Cloud Computation Engine

SkyReview's geospatial technology is powered by Google Cloud Computation Engine & Earth Engine. The pipeline uses machine learning to enhance commercial satellite imagery, then analyzes/processes the data with physics-based logic, TSTA (Temporal Spectral Trajectory Analysis), albedo broadband, learning algorithms, weather patterns, & permit data to prioritize inspections and improve asset management.

3

Super-Resolution Image Enhancement

Satellite imagery is enhanced using European Space Agency validated convolutional neural networks, SEN2SR and Real-ERSGAN, creating a "hypercube" stack of enhanced spectral data.

4

Processing/Analysis

First, hypercube stacks from the whole month are unmixed and assessed with TSTA to detect changes in condition. Then, SkyReview processes the photons & data with a reasoning model trained on 100+ commercial roof inspections & thousands of roof permits. Our scans are archived to account for previous context, permit data, and weather patterns. 

5

Reporting 

Finally, the model outputs a report. The data provides urgency rankings, actionable metrics, and recommendations to assist with portfolio management.

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The assessed data is outputted via monthly reports to easily communicate portfolio conditions and trajectories

DESIGNED TO IMPROVE OVER TIME

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As monthly reports accrue and the library expands, model performance improves. As hypercubes stack over time, they begin to form an "astralcube" of concentrated spectral data. By tracking spectral data and producing astralcubes - anomalies get confirmed, deficiencies are tracked, damage spread is measured, transient moisture is identified, tree overhang + vegetation are registered, and hallucinations are reduced. Through persistence, you achieve fidelity.

report samples (full size)

View Report Samples (Full Size)
Note: Some of the information in our Reporting Sample has been obfuscated, such as specific metrics and client information.
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Why SkyReview?

We Improve CapEx/OpEx

Fulfilling an Industry Need

Building Engines, a JLL Company, recently surveyed CRE professionals and 90% reported that improved data analytics for building operations would provide the greatest benefit to the industry. - The State of Commercial Property Management Technology, 2025

Asset Management

Centralize your roof portfolio and monitor assets at scale, with global coverage. Our monthly deliverables provide actionable data & recommendations to improve capital management.

Risk Pattern Identification

With multiple scans per month and satellite bands + SAR (Synthetic Aperture Radar) capable of seeing beneath roof surfaces, SkyReview grants Owners the ability to spot emerging risk patterns.

Statistical Risk Modeling

Leverage statistical models trained on real inspection experience and permit data to accurately estimate the probability of issues, enabling resources to be prioritized to where they're most needed.

Improved Analytics for Optimal Resource Allocation

By receiving early signals for inspection urgency, reducing unnecessary site visits, & increasing the probability you find costly leaks before they fully breach roof systems; we can deliver Owners the valuable data they need to optimize their budgets, and at one the most rapid orbital frequencies in the industry.

Maintenance Prioritization Score

Roofs are ranked by inspection urgency with a portfolio-wide prioritization score, helping teams easily digest information and focus their attention effectively.

Asset Life Extension

Monitoring platform capable of deferring capital & extending roof lifespans.

Data protection icon with shield and lock, blue accent Data Protection

With SkyReview, your data is treated with respect. You rest assured that it is secure and will never be transferred or sold.

Technical Resources

View Technical Capabilities
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View Advanced Literature Survey
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SUSTAINABILITY
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View Sustainability Study
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About skyreview

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Skyreview

Origin

SkyReview was founded in the Pacific Northwest by an architectural professional on the licensure track; who specializes in roofing, waterproofing, building envelope assessments, thermographic analysis, and forensic testing in one of the most moisture intensive climates in the world. When performing whole portfolio assessments for clients, often many roofs either didn't need inspection or had invisible leaks where water hadn't fully breached the roof assembly. The challenges surrounding building operations were ubiquitous. The dots connected while monitoring the existing conditions of mountaineering routes with contemporary satellite imagery, it could be possible to develop technology to assist with roof management. Without the means to hire developers, the idea sat idle. It wasn't until December 2025, when reading work from economists/tech journalists based in Silicon Valley, that it became apparent the latest learning models were capable of filling the missing development gap. Through prompt-orchestrated code development and following similar processes used for designing buildings, the project quickly transformed from Science Fiction into a planetary-scale property analytics platform.

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Nicholas Page, Founder

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Frequently asked questions

We are offering limited, free Beta Access through Q4 of 2026. To schedule a personalized pilot, contact our team through the website’s contact form. We’ll reach out with more information on what you can expect from your first deliverable.