List of SensorCloud Customers
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Since 2010, our global team of researchers has been studying SensorCloud 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 SensorCloud for Extract, Transform, and Load (ETL) 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 SensorCloud for Extract, Transform, and Load (ETL) include: NASA, a United States based Aerospace and Defense organisation with 18000 employees and revenues of $24.00 billion, Shelburne Vineyard, a United States based Consumer Packaged Goods organisation with 10 employees and revenues of $1.0 million, Bridgecomposites, a United States based Manufacturing organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using SensorCloud, 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 SensorCloud 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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Bridgecomposites | Manufacturing | 10 | $1M | United States | SensorCloud | SensorCloud | Extract, Transform, and Load (ETL) | 2012 | n/a | In 2012, Bridgecomposites deployed SensorCloud as its Extract, Transform, and Load (ETL) application to ingest and process telemetry from a MicroStrain wireless bridge monitoring system. The deployment supported structural monitoring and civil engineering testing in the United States, focused on evaluating the performance of seismic isolation bearings. SensorCloud provided remote data aggregation, visualization and analytics that sped characterization of long-term component performance and reduced installation time compared with wired systems. Architecturally the implementation centralized wireless sensor streams into SensorCloud where extract, transform and load workflows performed time-series aggregation, data conditioning and prepared datasets for engineering analysis and visualization. Operational coverage included field-deployed wireless nodes, cloud-based ingestion and visualization, and engineering teams responsible for test execution and data review. Governance structured centralized data access and remote review workflows so engineering staff could conduct performance characterization and long-term monitoring without extensive on-site cabling and data handling. | |
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NASA | Aerospace and Defense | 18000 | $24.0B | United States | SensorCloud | SensorCloud | Extract, Transform, and Load (ETL) | 2011 | n/a | In 2011, NASA deployed SensorCloud as a cloud-based data management and visualization platform to collect vibroacoustic and vibration data from MicroStrain wireless sensors during shuttle launches in the United States. SensorCloud was implemented to function as an Extract, Transform, and Load (ETL) layer that ingested high frequency sensor telemetry and persisted time series launch records for downstream engineering analysis. The implementation combined real time ingestion, centralized storage, and visualization capabilities to enable remote analysis of more than 3 GB of launch data, supporting condition monitoring and model verification. Functional capabilities implemented included sensor data capture from MicroStrain wireless sensors, data normalization and transformation, visualization dashboards for vibroacoustic shock traces, and archived data access for post launch review. Operational scope covered engineering and safety and mission assurance teams involved in shuttle launches, enabling validation of acoustic prediction models and remote verification of vibration profiles. Governance focused on model validation workflows and condition monitoring processes, with SensorCloud providing a persistent ETL backbone for analysis, verification, and archival of launch sensor data. | |
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Shelburne Vineyard | Consumer Packaged Goods | 10 | $1M | United States | SensorCloud | SensorCloud | Extract, Transform, and Load (ETL) | 2012 | n/a | In 2012, Shelburne Vineyard implemented SensorCloud. SensorCloud served as an Extract, Transform, and Load (ETL) application ingesting telemetry from MicroStrain wireless sensors to monitor temperature, soil moisture, leaf wetness and other environmental data for precision viticulture and frost protection in Vermont, United States. The deployment relied on cloud-based SensorCloud dashboards and alerts to deliver real-time notifications and historical analysis to vineyard staff. In its ETL role SensorCloud performed continuous data ingestion, time-series aggregation and transformation to surface condition trends and to feed alerting and visualization workflows used by operations. Operational coverage focused on vineyard site monitoring and viticulture functions, informing irrigation and cultivation decisions and active frost response procedures. The SensorCloud dashboards and alerts enabled the vineyard to avoid frost damage and optimize irrigation and cultivation decisions. |
Buyer Intent: Companies Evaluating SensorCloud
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