ARI Mobile: The Operational AI Agent That Resolves Incidents From Your Phone

InsightFinder Launches ARI Mobile, Putting an Action-Capable Operational AI Agent in Engineers’ Pockets

InsightFinder Launches ARI Mobile, Putting an Action-Capable Operational AI Agent in Engineers’ Pockets

ARI Mobile: respond to incidents from wherever you are

Reliable Agentic AI: Why Reliability Is the New Competitive Advantage

Why AI Systems Fail: The Probabilistic Nature of the AI Era

For Predictive Reliability, The Feedback Loop Is the Product

Predictive Reliability Adoption Starts With Trust

Login

Correlate Logs & Metrics for Automated Root Cause Analysis

InsightFinder is an AI-driven IT Reliability platform that correlates logs, metrics, and traces across your systems to deliver automated root cause analysis and threshold-less anomaly detection. It helps incident response teams find the true source of production issues in minutes and prevent outages before they reach customers.

InsightFinder’s IT Reliability platform gives ITOps, DevOps, SRE, and Platform Teams complete AI-driven multi-modal analysis and visibility to predict and prevent production incidents before they impact customers.

How InsightFinder compares to traditional APM and observability tools

Traditional APM and observability tools show you dashboards, but they leave your team correlating logs and metrics by hand during an incident. They rely on static thresholds you have to tune, so they miss the anomalies that do not trip a fixed rule and bury responders in alert noise.

InsightFinder takes a different approach. The patented Unified Intelligence Engine (UIE) applies Composite AI to learn what normal looks like for your environment, correlates signals across logs, metrics, traces, and service dependencies automatically, and predicts failures before they reach customers.

Capability Traditional APM / observability InsightFinder
Anomaly detection Static thresholds you tune manually Threshold-less multivariate detection that adapts to your systems
Root cause analysis Responders correlate signals by hand Automated cross-signal RCA that pinpoints the true source in minutes
Incident handling Reactive, after impact Unsupervised prediction with hours of advance warning
Alert quality High noise, frequent false positives False alerts reduced by 75–90%

Contents

AI-Driven IT Reliability Platform Features

Precise Anomaly Detection

You cannot tune a static threshold for every metric in a dynamic system. InsightFinder uses multivariate, threshold-less anomaly detection that learns the normal behavior of your environment and flags what deviates from it. It correlates patterns across logs, metrics, traces, and service dependencies to surface the anomalies that matter, so your team gets faster detection and higher signal quality without chasing false positives.

Real-time Streaming Anomaly Detection ➔

Root Cause Analysis

When an incident hits, most of the response time goes to correlating signals across tools to answer one question: what actually broke? InsightFinder automates that work. It correlates logs, metrics, and traces against your system dependency data to identify the true source in minutes instead of hours, and it reduces false alerts by 75–90% so responders focus on real problems.

Our patented RCA technology ➔

Incident Prevention

InsightFinder learns causal patterns and weak signals across your environment to surface problems that would otherwise stay hidden until they escalated. By catching these early indicators before they threaten SLAs or reach customers, the platform gives your team hours of advance warning to intervene, reduce risk, and stay ahead of outages.

Patented Incident Prevention ➔

Auto-Remediation

Detection and prediction only help if they turn into action. InsightFinder’s auto-remediation triggers alerts, initiates remediation with human-in-the-loop approvals, and executes incident workflows based on your existing runbooks and operational processes. Your team responds faster, cuts manual effort, and resolves issues more consistently at scale.

Patented Auto-Remediation Techniques ➔

Log File Compression and PII Compliance

Log volume drives cost and compliance risk. InsightFinder’s real-time log compression reduces log volume by more than 90% without loss, and it strips personally identifiable information (PII) before data is transmitted or stored. You lower storage and transmission costs while meeting your data-handling obligations.

Dependency Graph

The dependency graph maps the logical relationships between your services, components, and infrastructure. It makes upstream and downstream dependencies easy to understand and provides a critical inference signal for faster, more accurate root cause analysis.

Understand Interconnected Services ➔

Service Map

The service map complements the dependency graph with a real-time view of system health down to the individual instance level. You can spot degraded services quickly and see where the impact is spreading across your stack.

ARI, Your Operational AI SRE

ARI is InsightFinder’s operational AI SRE. It pulls together validated context across signals, changes, and system behavior so responders spend less time rebuilding the story and more time acting. ARI draws on the entire IT Reliability platform to speed up identifying root causes, recommending next steps, and orchestrating remediation workflows, which means faster triage, stakeholder communication, and resolution.

ARI Introductory Demo Video ➔

The Unified Intelligence Engine (UIE)

The patented Unified Intelligence Engine (UIE) is the Composite AI core of the platform. It analyzes your data streams without manual labels or static thresholds, ingesting logs, metrics, and traces alongside system dependency data. UIE learns autonomously and continuously adapts to your environment, which is what moves your team from reactive firefighting to proactive prevention.

Contents

FAQs

InsightFinder uses multivariate, threshold-less anomaly detection built for modern, dynamic systems. It automatically analyzes patterns across logs, metrics, traces, and service dependencies to surface the anomalies that matter most, delivering faster detection and higher signal quality without generating excessive alert noise or chasing false positives.

InsightFinder learns causal patterns and weak signals across your environment to surface problems that would otherwise go unnoticed until they escalated. By catching these early indicators before they threaten SLAs or reach customers, it gives your team the room to intervene, reduce risk, and stay ahead of outages instead of reacting after the fact.

Yes. InsightFinder's auto-remediation turns real-time analysis and predictions into action by triggering alerts, initiating remediation with human-in-the-loop approvals, and executing incident workflows based on your existing runbooks and operational processes. This helps your team respond faster, reduce manual effort, and resolve issues more consistently at scale.

ARI is InsightFinder's operational AI agent that pulls together validated context across signals, changes, and system behavior so responders spend less time rebuilding the story and more time acting. ARI draws on the entire IT Reliability platform to speed up identifying root causes, recommending next steps, and orchestrating remediation workflows, enabling faster triage, stakeholder communication, and resolution.

The dependency graph maps the logical relationships between services, components, and infrastructure, making upstream and downstream dependencies easy to understand and providing a critical inference signal for faster, more accurate root cause analysis. The service map complements this with a real-time view of system health down to the individual instance level, helping teams spot degraded services and see where impact is spreading.

Contents

See how InsightFinder helps your team deliver reliable services across every layer of the stack

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.