List of Raptor Maps Inspections Customers
Somerville, MA, 2143,
United States
Since 2010, our global team of researchers has been studying Raptor Maps Inspections customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Raptor Maps Inspections for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Raptor Maps Inspections for Analytics and BI include: Rosendin Electric, a United States based Construction and Real Estate organisation with 7500 employees and revenues of $2.90 billion, Cypress Creek Renewables, a United States based Utilities organisation with 420 employees and revenues of $200.0 million, Luminace, a United States based Utilities organisation with 150 employees and revenues of $120.0 million and many others.
Contact us if you need a completed and verified list of companies using Raptor Maps Inspections, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Raptor Maps Inspections customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Cypress Creek Renewables | Utilities | 420 | $200M | United States | Raptor Maps | Raptor Maps Inspections | Analytics and BI | 2019 | n/a | In 2019, Cypress Creek Renewables engaged Raptor Maps to deploy Raptor Maps Inspections, an Analytics and BI application, to support its internal UAS team for operations and O&M in the United States. The engagement centered on drone-based inspections and automated aerial thermography, with Cypress Creek explicitly using Raptor Maps Inspections for inspection analytics and report generation. The implementation covered the company's US project fleet and operational teams responsible for O&M. Raptor Maps Inspections was embedded into Cypress Creek Renewables inspection workflows to standardize capture, analytical processing, and turnaround of thermography reports, with the drone-based inspections and analytics module used as the core capability. The deployment supported the self-operated UAS team and restructured field to report workflows to accelerate inspection cycles. The stated outcomes were faster report turnaround and a reduction in O&M costs across the US fleet. | |
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Luminace | Utilities | 150 | $120M | United States | Raptor Maps | Raptor Maps Inspections | Analytics and BI | 2024 | n/a | In 2024 Luminace implemented Raptor Maps Inspections, deploying Raptor Maps’ Instant Inspections AI within its asset management and operations workflows. The implementation uses the inspection analytics module from the Analytics and BI category to deliver same day detection of high-priority thermal anomalies across a distributed commercial and industrial portfolio in North America. The deployment centers on Raptor Maps’ inspection analytics capabilities, including AI-driven anomaly detection and prioritized triage for thermal findings. Configuration work focused on ingesting inspection outputs, flagging high-priority thermal anomalies, and producing asset-level inspection reports that feed operational decisioning and technician tasking. Operational scope included asset-management and field operations functions, with the analytics output routed to operations teams and technicians to accelerate remediation. Governance changes emphasized analytics-driven triage and updated field workflows to act on Instant Inspections AI findings, and the announced outcome highlights improved technician productivity and faster remediation speed. | |
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Rosendin Electric | Construction and Real Estate | 7500 | $2.9B | United States | Raptor Maps | Raptor Maps Inspections | Analytics and BI | 2021 | n/a | In 2021, Rosendin Electric deployed Raptor Maps Inspections to scan and capture nearly 1 million PV module serial numbers into a digital twin during construction. This implementation is classified in the Analytics and BI category and targeted construction, supply-chain, and asset records use cases across the United States. The work centered on the serial-number capture feature and digital-twin usage to centralize module-level records for downstream workflows. Raptor Maps Inspections was configured to ingest field inspection outputs and persist module serial-number metadata within a digital twin, creating traceable module inventories at the site level. The deployment emphasized inspection workflows and automated capture of serial-number data from on-site surveys, normalizing metadata into a consistent asset record model. The full Raptor Maps Inspections application produced searchable asset records and a persistent dataset intended for operations intake and recordkeeping. Operationally, the implementation provided Rosendin Electric a single source of module-level inventory data to support construction closeout and supply-chain transparency, easing handoff to operations. Governance changes aligned inspection deliverables with operations intake processes and designated inspection-derived records as authoritative asset information. The initiative improved visibility into module provenance and asset records, supporting construction and operations functions. |
Buyer Intent: Companies Evaluating Raptor Maps Inspections
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