Altair Panopticon

Altair® Panopticon™ Applications

Panopticon visual analysis dashboard technology is designed to handle virtually any data source, including real-time message buses, complex event processing (CEP) engines, column-oriented tick databases, OData sources, and standard relational databases. Our customers use it to support the continuous optimization of their operations.

  • Monitor: Identify anomalies, outliers, trends, and clusters in massive amounts of fast-changing data.
  • Investigate: Examine the historical time series of all events leading up to an anomaly.
  • Backtest: Discover how adjustments to inputs, settings, and other parameters will affect performance.
  • Optimize: Based on the results of backtests, update thresholds and configurations for external systems directly from the analytics dashboard.
Learn More About Panopticon

Trading Analytics

Buy side and sell side firms use Panopticon to highlight anomalies, trends, clusters, and relationships in electronic trading data. Firms can analyze trading activity down to the individual tick and sequence ID.

Compliance and Surveillance

Compliance officers use the platform to analyze historic order flow for execution policy breaches, view live execution performance, and compare execution histories to past activities and market data across all liquidity and execution venues in use.


Panopticon enables risk managers to perform intraday analysis of risk profiles at the office, desk, and trader levels, analyze liquidity in compliance with BCBS 248 rules, and identify value at risk (VaR) and sensitivity trends across all book and instrument hierarchies.

Learn how to prevent fraud using advanced data analytics.

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Internet of Things (IoT)

Business users, analysts, and engineers can access, process, monitor, and analyze the incredible volume of real-time information streaming in from connected devices, vehicles, equipment, and sensors in the fast-evolving IoT world.

Remaining Useful Life (RUL) Analysis

Panopticon can process real-time sensor data on heat, speed, pressure, and other factors generated by any number of production machines, make on-the-fly comparisons with historical data, and amplify the accuracy of the machine learning algorithms.

Anomaly Detection in Production Systems

Identifying unusual behaviors or patterns in machine components using sensor data can prevent small glitches from creating major operational problems. Panopticon can flag potentially serious issues without reducing overall equipment effectiveness (OEE).

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Oil and gas producers, pipeline and electrical grid operators require up-to-the-second views of exactly how systems are performing. In most circumstances, the faster they can respond to an issue, the more efficiently they operate. Specific use cases include oil and gas production analysis, grid utilization monitoring, profitability analysis, capacity analysis, project performance monitoring, and customer service monitoring for call centers.


Panopticon gives telecom network operators effective ways to correlate and analyze data streaming in from routers, towers, control systems, and third-party systems to make insightful, informed decisions. They can spot small problems before they become major outages, identify maintenance shortfalls, monitor and respond to network and infrastructure issues in real time, and proactively detect and prevent revenue leakage and fraud.

Featured Resources

Panopticon Demo: Visualize Real-Time Telemetry Data from Formula 1 Cars

In this demo, real-time telemetry data from a simulated Formula 1 car on the Austria-Spielberg track is being delivered to Panopticon,

Use Cases

Monitor Performance of a Trucking Fleet in Real Time using Altair Panopticon

Panopticon enables fleet operators to analyze critical data streaming in from sensors and other sources.

Use Cases

Panopticon Demo: Build Stream Processing Applications with Zero Coding

Panopticon Streams, a stream processing engine built on the popular Apache Kafka platform, enables business users to build sophisticated Kafka data flows with no coding. Streams connects directly to a wide range of streaming and historic information sources, including Kafka, Kx kdb+, Solace, Hadoop and NoSQL sources. Streams supports critical data functions including: - Streaming Data Prep: Combines multiple real-time streams with historic data sources - Calculation Engine: Calculates performance metrics based on business needs - Aggregation Driver: Combines data as needed - Alerting Engine: Highlights anomalies against user-defined thresholds - Integration with the Confluent Enterprise Control Center - Expanded support for IoT environments, including manufacturing, energy/utilities, and transportation/logistics The engine is designed to be used by people who understand their business problems. They can create their own data flows utilizing data from any number of sources and incorporate joins, aggregations, conflations, calculations, unions, merges, and alerts into their stream processing applications. They can then visualize processed data using Panopticon Visual Analytics and/or output it to Kafka, Kx kdb+, InfluxDb, or any SQL database.


Analyze Aggregated Client FX Flow with Altair Panopticon

Forex markets are becoming more electronified and participants are more diversified. Combine that with the explosion of trading venues and the FX market is today more complex and fragmented than ever before.

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