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Falkonry Time Series AI (TSI) Platform

The TSI platform is an AI-native software tool designed to analyze real-time metrics from telemetry and instrumentation sources with minimal programming effort. It enables engineers to extract actionable insights from observability data across industrial, IT, and networking systems.

As a comprehensive platform, TSI transforms how organizations manage time-series data and modeling. By unifying the user experience and delivering robust core modeling capabilities, it empowers teams to own the complete Analytics Flywheel, accelerating the journey from raw data to actionable insight and enabling a wider scope of business impact. By efficiently processing large volumes of data, TSI identifies and highlights periods and subsets of time series containing the most informative data. This facilitates alerting, root cause analysis, action planning, and comparative assessments to drive continuous operational improvement.

Key Features

Observability systems generate vast amounts of complex data that traditional techniques struggle to handle effectively. TSI addresses these challenges by offering advanced, AI-driven capabilities within a modernized, unified workspace:

  • No-code/low-code exploratory data analysis: Simplifies data exploration without extensive programming expertise.

  • Develop with Autonomy: Expanded user-driven modeling gives engineers direct control over model capabilities via the UI as well as REST APIs reducing the need for external intervention. Users are empowered to build, deploy, and update Anomalies, Calculations, Rules, and Conditions models through a streamlined interface.

  • The Common Workspace: A consolidated, asset-centric view enables engineers to efficiently build digital twins of assets. This eliminates "tab-switching" fatigue and preserves critical data context throughout the development process.

  • High-Confidence Evaluations: Prior to production deployment, expanded simulation tools allow users to "back-test" all model types against historical data, validating performance and ensuring high reliability before going live.

  • Standardized Decision Support: By unifying the output formats across all model types, TSI ensures information is delivered in a consistent, easy-to-interpret schema. This facilitates more reliable downstream automation and faster cross-departmental response.

  • Operate with Scale: As organizations scale their use of AI/ML, TSI provides a unified ML Ops experience that standardizes the monitoring and output of all automated insights to ensure system-wide reliability.

Stakeholder Benefits

By centralizing the development and monitoring of industrial AI, organizations can transition towards an improved proactive, data-centric approach to managing assets and processes.

Business & Leadership

  • Elimination of Bottlenecks: Organizations can adapt to shifting plant conditions and keep models accurate without operational delays caused by the unavailability of external support teams.

  • Drives Operational Excellence: TSI's vision is to drive actions from time series data to optimize and protect assets, simplifying the analysis of production data.

  • Lowers Total Cost of Ownership (TCO): By automating anomaly detection and pattern recognition without requiring extensive coding, TSI significantly reduces support and maintenance overhead.

  • Faster Decision Making: It provides timely intelligence from raw sensor data, leading to quicker project decision-making.

Operations Teams & Engineers

  • Monitor with Clarity: TSI provides a "single pane of glass" for asset-centric development, eliminating the need to navigate fragmented views to build models and validate data.

  • Develop Once, Deploy Many Times: By creating a digital twin of an asset type that can be applied to multiple individual assets, teams can easily maintain uniformity across the enterprise.

  • Uncovers Hidden Problems: TSI automatically detects never-before-seen anomalies and emerging patterns in complex industrial systems, thereby helping prevent unscheduled downtimes.

  • Simplifies Data Understanding: It offers intuitive visualization of high-resolution time series data for quick diagnosis and root cause analysis.

IT/Digital Teams

  • Live Processing Transparency: A centralized monitoring view provides real-time visibility into the health of all live monitored assessments. IT teams can immediately identify and resolve processing gaps, maintaining the integrity of critical industrial insights.

  • Robust Data Ingestion: TSI provides flexible and secure inbound connectivity options to bring in live and historical time-series data from multiple industrial sources using standard protocols.

  • Scalable Architecture: It features a cloud-native architecture that can be deployed in a public cloud, private cloud, or on local infrastructure.

To quickly start processing your time series data through TSI, please see our Quick Start Tutorial