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SkyReview Satellite Imaging Software

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

Now in Alpha. Free Pilot Access is available for a limited time.

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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_v7.1_Alpha, our first publicly available model, and the world's very first property analytics platform to integrate image enhancement through Super-Resolution.

  • Transformative

    Our property analytics platform is unique because it harnesses breakthroughs in image enhancement, called Super-Resolution.

  • Edge

    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 Coast
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. Scans produce imagery with 13 spectral bands, including infrared that enables our moisture detection feature.

2

Google Cloud Computation Engine

SkyReview's pipeline is entirely powered by Google Cloud Computation Engine & Earth Engine. and uses machine learning to enhance commercial satellite imagery, then analyzes/processes the data with physics-based logic, ephemeris tuning, albedo broadband, learning algorithms, weather patterns, permit data, & geospatial technology 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.

4

Processing/Analysis

SkyReview's geospatial technology processes the data with a reasoning model grounded in physics-based logic and 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.

Deliverables

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Key capabilities

Satellite imagery showing moisture traces beneath a commercial roof

Moisture Detection

SkyReview gives owners the ability to detect probable moisture signatures beneath roof surfaces.

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Change Recognition

We provide monthly reports to monitor your portfolio, track existing conditions, and examine how they change over time.

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 capable of seeing beneath roof surfaces, SkyReview grants Owners the ability to spot emerging risk patterns.
Statistical Likelihood of Issues
Leverage statistical models trained on real inspection experience and permit data to accurately estimate the probability of issues and prioritize resources where they are needed most.
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.
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.
Data protection icon with shield and lock, blue accent Data Protection
With SkyReview, your data is treated with respect. You can be assured that it is secure and will never be transferred or sold.
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

Why SkyReview?

We Improve CapEx/OpEx

Our platform utilizes multispectral satellite sensors + SAR to detect risks and moisture signatures that are invisible to the naked eye. SkyReview's software is powered by Google Earth Engine and uses machine learning to enhance commercial satellite imagery, then analyzes/processes the data with physics-based logic, ephemeris tuning, albedo broadband, learning algorithms, weather patterns, permit data, & geospatial technology to prioritize inspections and improve asset management.

How SkyReview Works

  • Pinpoint which roofs demand attention first across large portfolios—no more guesswork.
  • Identify risk patterns such as potential moisture signatures and degradation before they're reported.
  • Stop unnecessary site visits and inspections by focusing resources where they're actually needed.
  • Support strategic budgeting and capital planning with actionable data, delivered on a monthly basis.
  • Optional escalations such as on-demand high resolution imagery & on-site inspections.
Note:

SkyReview provides predictive analytics to help identify deficiencies and prioritize which roofs to inspect; but we do not replace on-site evaluations or direct condition assessments. Use our insights to detect deficiencies and plan smarter, then confirm findings in the field.

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Property map highlighting high-risk assets for maintenance
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Performance and Technical Capabilities

Operational intelligence built for portfolio-scale decisions

SkyReview combines multispectral and SAR satellite sensing with machine-learning-enhanced imagery to deliver reliable, repeatable insights. The platform is optimized for large property owners and contractors who need actionable, system-wide visibility without unnecessary site visits.

Monthly observation cadence

Consistent capture cycles provide fresh signals across your portfolio for predictable planning windows.

Core technical strengths

Multispectral + SAR sensor fusion
Combines optical and radar data to maintain visibility through weather, seasonal changes, and varying light conditions.
Machine-learning-enhanced imagery
Automated feature detection and change scoring convert raw imagery into prioritized inspection signals.
Geospatial analysis at scale
Spatial analytics identify risk patterns across regions, enabling targeted capital planning and resource allocation.
Portfolio-wide monitoring
Uniform monitoring across thousands of assets supports consistent governance and defensible prioritization.

Decision support outcomes

  • Inspection prioritization based on probabilistic signals and change intensity.
  • Scalable workflows for asset managers overseeing extensive building portfolios.
  • Transparent, repeatable analytics for compliance reporting and stakeholder alignment.
  • Continuous monitoring that reduces unnecessary site visits while accelerating decision cycles.

Scalable by design

Built to support enterprise portfolios, regional contractors, and multi-site operators with consistent data fidelity.

Technical Resources

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About SkyReview

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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 on the planet. 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 would be possible to develop and deploy a technology stack to assist with roof management. Without the means to hire developers, the idea sat idle. It wasn't until listening to & reading work from economists/tech journalists based in San Francisco that it became evident the latest learning models were capable of filling the development gap that was missing. Through well-orchestrated prompts and following similar design processes that are conducted when designing new buildings, it quickly transformed from a pipedream into a planetary-scale building envelope monitoring platform.
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Frequently asked questions