Element Analytics
Overview
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HQ Location
United States
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Year Founded
2015
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Company Type
Private
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Revenue
< $10m
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Employees
11 - 50
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Website
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Twitter Handle
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Company Description
Based in San Francisco, CA, Element Analytics creates industrial analytics software that empowers organizations to achieve new levels of operational performance. The Element Platform helps industrial organizations easily and rapidly use industrial time-series data for actionable insight. The platform readies time-series data, enriches it with analytically relevant context, and instills Trust. It also blends time-series and other operational data with unprecedented high fidelity. With data ready, the platform enables machine-learning modeling to surface reliability, productivity, and sustainability insights for operations.
IoT Solutions
Element empowers industrial organizations to easily use data and rapidly extract valuable insights. Our solutions help industrial businesses achieve new levels of operational performance.
Upstream Oil & Gas
Gain an enterprise-wide view of all production units and the ability to drill down into each well’s time-series data. Generate unlimited process-oriented asset views to support the various functions and services that consume the data. With this data, use predictive analytics to prevent failures in equipment such as submersible pumps for increased asset reliability.
Chemicals & Refining
Model complex cooling, separation, and heating systems. Benchmark and compare rotating equipment, fixed equipment, or the overall process units. Identify, then label complex fault events and analyze strongly correlated factors that precede the event. Gain predictive insight into parts breakdown to prevent issues such as pump seal leaks.
Manufacturing
Aggregate numerous datasets from diverse providers, rapidly ready data for advanced analytics, and predict the failure of equipment such as motors and mixers. Shift from time-based to performance-based maintenance for greater cost and operational efficiency.
Power & Utilities
Aggregate and blend previously siloed data, perform predictive analytics on top of that to improve customer service time, prevent equipment failures, and optimize contracts with improved risk management.
Metals & Mining
Benchmark and compare the performance of equipment (e.g., extractors, crushers, trucks) and processes across all sites to uncover and deploy best practices for enterprise-wide process optimization.
Pulp & Paper
Aggregate and standardize data from complex, highly integrated processes that were previously challenging to model (e.g., end-to-end tissue machine operations). Gain visibility into process dependencies that you may not be aware of. Diagnose issues such as transfer breaks to ultimately increase throughput of paper machines.
Upstream Oil & Gas
Gain an enterprise-wide view of all production units and the ability to drill down into each well’s time-series data. Generate unlimited process-oriented asset views to support the various functions and services that consume the data. With this data, use predictive analytics to prevent failures in equipment such as submersible pumps for increased asset reliability.
Chemicals & Refining
Model complex cooling, separation, and heating systems. Benchmark and compare rotating equipment, fixed equipment, or the overall process units. Identify, then label complex fault events and analyze strongly correlated factors that precede the event. Gain predictive insight into parts breakdown to prevent issues such as pump seal leaks.
Manufacturing
Aggregate numerous datasets from diverse providers, rapidly ready data for advanced analytics, and predict the failure of equipment such as motors and mixers. Shift from time-based to performance-based maintenance for greater cost and operational efficiency.
Power & Utilities
Aggregate and blend previously siloed data, perform predictive analytics on top of that to improve customer service time, prevent equipment failures, and optimize contracts with improved risk management.
Metals & Mining
Benchmark and compare the performance of equipment (e.g., extractors, crushers, trucks) and processes across all sites to uncover and deploy best practices for enterprise-wide process optimization.
Pulp & Paper
Aggregate and standardize data from complex, highly integrated processes that were previously challenging to model (e.g., end-to-end tissue machine operations). Gain visibility into process dependencies that you may not be aware of. Diagnose issues such as transfer breaks to ultimately increase throughput of paper machines.
IoT Snapshot
Element Analytics is a provider of Industrial IoT platform as a service (paas), application infrastructure and middleware, and analytics and modeling technologies.
Technology Stack
Element Analytics’s Technology Stack maps Element Analytics’s participation in the platform as a service (paas), application infrastructure and middleware, and analytics and modeling IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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