Satelytics uses artificial intelligence to analyze multispectral and hyperspectral data from a variety of third-party sources including enterprise satellite data providers, aerial imagery, and persistent camera platforms, and to produce actionable alerts on operational issues in near real-time.

Visible light and other portions of the electromagnetic spectrum from the sun are reflected off objects and materials on Earth to an aerial or spaceborne sensor. The sensor detects a limited number of bands of the electromagnetic spectrum, then collates them into data layers that Satelytics can process. Analyzing multiple bands can reveal data values pertaining to the specific phenomena for which we analyze, thus producing millions or billions of point samples.

Following analysis aided by secure cloud computing and storage via Amazon Web Services, Satelytics algorithms produce prioritized alerts, allowing the end user to efficiently direct limited company resources to resolve the issue. The alerts are delivered by text message, email, via the satelytics.io web interface, and via the satelytics.io mobile application. The mobile application has been refined for use by field personnel in low cellular communications coverage areas.

All cloud, satelytics.io software, and algorithm analytics are included in the Software as a Service (SaaS) fee. Frequency of analysis will determine whether payments are due monthly or quarterly throughout the term(s). Contract lengths are commonly three or five-year terms.

Satelytics typically contracts directly with a customer, but also offers the service through customer-trusted vendors when applicable. Satelytics offers two pricing models:

• A subscription-based business model with pricing determined by size of areas of interest, frequency of inspection and analysis (from weekly to annually), number of analyses to be performed, and types of analyses.
• Discrete engagements, typically around a historical review and analysis of imagery data for a specific location.

Maximum benefit is often realized via the subscription model, which offers history functions that assist in proving responsible stewardship.

Implementation: Customer typically reach full implementation and on-boarding within 2 months, but Satelytics is prepared to consult during weekly meetings for as long as is needed achieve that goal. Their goal is to help users not only in initial proficient use within the primary group, but to offer support and allow for penetration to other groups and departments across the organization.

More than mere snapshots, Satelytics harnesses artificial intelligence to analyze the spectral signatures within every pixel, every time. This effectively provides billions of sample points during each sensor overpass. Satelytics then provides users with immediate actionable alerts that direct company resources to address specific problems, only when problems exist.

Only recently has this approach become possible with the infinite processing power and storage afforded by cloud computing. The approach relies upon machine learning algorithms and convolutional neural net algorithms to process massive amounts of data.

Oil and Gas

• Monitor facilities for oil and natural gas leaks.
• Methane detection via satellite imaging
• Monitor remediation programs for regulatory compliance.
• Identify contamination risks.

Pipelines

• Identify high consequence areas.
• Identify hydrocarbon leaks.
• Monitor thousands of miles of pipeline for potential threats and to facilitate vegetation management.

Power and Utilities

• Visualize thermal plumes near power stations.
• Monitor post-combustion waste sites.
• Monitor thousands of miles of right-of-way for vegetation management.

Water & Wastewater

• Sample entire bodies of water at once for a variety of constituents.
• Monitor green infrastructure.
• See point sources on land that threaten water resources.

ALL

• Monitor assets across the globe.
• Solve multiple business problems from one set of data.
• Spread cost of surveillance across multiple business units.
• Decrease risk of sending field personnel out unnecessarily.