The Unified Intelligence Engine (UIE) delivers anomaly detection, root cause analysis, and incident prediction for Enterprise scale ML/LLM models, infrastructure systems, and production applications.

The UIE analyzes enterprise system, application, and model data, providing real-time analysis of metrics, logs, traces and dependency graphs. It applies unsupervised machine learning and patented algorithms to detect anomalies, determine root cause, and predict incidents.

Integrated Visibility

Ingest any data

Analyze real-time data streams from practically any monitoring, tracing or logging tool, enabling the most integrated and comprehensive analytics.

Automatically identify correlation

Identify hidden dependencies within your systems with the analysis that crosses your entire IT and model ecosystems.

Unsupervised AI

Automatic learning without human configuration

Unlike supervised ML, InsightFinder AI’s unsupervised ML ingests and analyzes data streams without requiring up-front training data. Learning is constant, and results improve automatically.

Perform cross-stream correlation

Find hidden anomalies, relationships, dependencies, and behavior correlation from disparate systems and tools.

Identify hidden problems

With cross-system and cross-tool visibility, only InsightFinder AI can find patterns between those systems without any pre-programmed understanding.

Predictive Insights

Incident prediction and prevention

Get in front of potential problems by predicting performance, availability and scaling incidents – allowing adjustments ahead of time to prevent them from even happening.

Automated root cause analysis

Identify root causes and fix problems before they impact your business.

Impact driven prioritization

Cut through the constant noise of threshold-based alerts, multi-system anomalies, and identified incidents to tackle the most impactful situations.

Knowledge Base and Active Learning