Unified Intelligence Engine™
InsightFinder AI’s Unified Intelligence Engine (UIE) is the brain behind InsightFinder's AI Observability and IT Observability solutions. UIE delivers real-time anomaly detection, root cause analysis, problem prediction, and auto-remediation for enterprise-scale ML and LLM models, IT infrastructures, and production applications.
Unify your data
Ingest log, metric, trace, and dependency data from your IT stack. Monitor in real-time with a single view across services and infrastructure.
- Metrics
- Traces
- Logs
- Dependency Graph Data
Unified Intelligence Engine
Real-time anomaly detection
Anomaly detection with our patented unsupervised machine learning filters false alarms, allowing teams to focus on true anomalies.
Root cause analysis
Identify AI model and IT system incidents quickly. Cut MTTD and MTTR by automating log and metric reviews.
Action Automation
Automate your response process to boost uptime and accuracy, freeing staff for higher-value tasks.
Incident Prediction
Identify patterns leading to incidents. Use these to alert AI and IT teams before costly interruptions.
AI Observability
Manage your AI models to detect and prevent model drift, ensure accuracy, and deliver performance.
IT Observability
Manage your AI models to detect and prevent model drift, ensure accuracy, and deliver performance.
Unsupervised Machine Learning
UIE leverages unsupervised online machine learning algorithms that deliver real-time anomaly detection, root cause analysis, trend analysis, problem prediction, and action recommendation. InsightFinder AI’s unsupervised machine learning approach is patented and based on extensive academic research and large-scale deployments. Unsupervised machine learning means that UIE can analyze data streams without manual data labelling. Learning is autonomous and AI outputs improve automatically.
Real-Time Anomaly Detection
The UIE’s streaming anomaly detection detects anomalies in seconds. The result is faster processing and enhanced accuracy. At the application level this translates to faster reactions to potential model data quality issues and ITincidents, reduced mean time to resolution (MTTR), and improved AI model and IT system reliability.
Root Cause Analysis – Automatic Root Cause Localization
For any anomaly, UIE creates causal chains. By grading each anomaly based on the number of causal chains in which they appear, the system quickly determines which anomalies have the greatest impact – rapidly filtering out the noise of secondary alerts and allowing response teams to focus on the actual root cause.
Problem Prediction
Get in front of potential problems by predicting performance, availability and scaling incidents – allowing adjustments ahead of time to prevent them from even happening. UIE flags potential issues and estimates when incidents may occur.
Action Recommendation
Automate action recommendations driven by real-time predictions and LLM summaries to trigger notifications, initiate remediation, and automate incident workflows based on your current runbooks.
Open Source and Third Party Integrations
InsightFinder AI’s UIE is the brain that powers intelligentAI Observability and IT Observability products. UIE can be easily integrated into open source monitoring platforms and other third party monitoring solutions. Use cases are virtually unlimited, ranging from end-point monitoring to applying some or all of the AI and IT Observability capabilities to complement your existing ITOps and MLOps solutions.
Explore InsightFinder AI
Take InsightFinder AI for a no-obligation test drive. We’ll provide you with a detailed report on your outages to uncover what could have been prevented.
