About PingThings Platform
A time-series platform for physical systems, designed for utilities, grid operators, and industrial teams.
PingThings offers a time-series intelligence and observability platform for physical systems, with a primary focus on the energy sector. It provides a unified foundation for utilities, grid operators, and industrial teams to manage complex sensor data from sources like SCADA, PMUs, and smart meters. The platform excels at ingesting, storing, and contextualizing vast amounts of high-resolution data, enabling advanced analytics and predictive maintenance. By breaking down vendor silos, it allows for cross-system analysis on a single query plane. While the website details its capabilities and architecture, it does not provide public pricing, requiring potential customers to contact the sales team for a quote. Support options are also not publicly detailed. The platform is a cloud-based SaaS solution, designed for large-scale operational intelligence.
Pros & Cons
- Unifies disparate sensor data from various physical systems into a single platform.
- Enables predictive, condition-based maintenance, moving beyond reactive or scheduled approaches.
- Proven in production with major utilities and grid operators in North America.
- Architecture is designed to be system-agnostic, applicable to various physical systems beyond the energy grid.
- Deeply specialized around grid reliability, physical AI, and IIoT sensor telemetry.
- Demands familiarity with Python, data science, or utility engineering concepts.
- Engineered for large utilities and industrial infrastructure; impractical for small software teams.
Features
Key features
Captures sensor data from various sources including AMI, PMU, SCADA, relays, and DFR into a single platform.
Manages and queries data across different dimensions such as sensor type, vendor, and frequency, treating real-time and historical data uniformly.
Enriches sensor data with operational records (assets, topology, events) and external signals like weather and geospatial data.
Enables condition-based predictive maintenance by identifying asset degradation signatures in waveform data before failure occurs.
Designed to handle high-resolution data from physical systems, such as 120 Hz synchrophasors and 100 kHz point-on-wave data.
Additional features
Provides dashboards and reporting tools to visualize and analyze system data.
Allows analysis across different proprietary systems and protocols without custom integration.
Supports the creation of derived data streams, features, models, alerts, and applications from the core signal data.
Proven in production with major North American transmission, distribution, and generation utilities, as well as ISOs and RTOs.
Pricing
Countries & Languages
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About PingThings Platform
A time-series platform for physical systems, designed for utilities, grid operators, and industrial teams.
PingThings Platform Details
PingThings Platform's In-App Market Place
Does PingThings Platform have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Accepted Payment Currencies
USD, EUR, GBP
Pros & Cons
- Unifies disparate sensor data from various physical systems into a single platform.
- Enables predictive, condition-based maintenance, moving beyond reactive or scheduled approaches.
- Proven in production with major utilities and grid operators in North America.
- Architecture is designed to be system-agnostic, applicable to various physical systems beyond the energy grid.
- Deeply specialized around grid reliability, physical AI, and IIoT sensor telemetry.
- Demands familiarity with Python, data science, or utility engineering concepts.
- Engineered for large utilities and industrial infrastructure; impractical for small software teams.
PingThings Platform's Support Options
Email Address
info@pingthings.ioContact
(202) 991-0887PingThings Platform's Alternatives
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