Detect. Explain.
Prevent. Fix.

DeepXplore is a detection, prevention, and resolution platform that operates on top of your existing stack. Simulate realistic traffic, validate user journeys, detect degradation, pinpoint root causes in seconds, and auto-fix issues with AI-driven code — without replacing a single tool.

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10x Faster Testing

90% Less Troubleshooting

24/7 Continuous Monitoring

AI-Driven Performance Testing Root Cause Analysis in Seconds Traffic Simulation Anomaly Detection GDPR-Safe Synthetic Data User Journey Testing Predictive SLA Forecasting OpenAPI Test Generation Grafana / Datadog / PagerDuty Zero War Rooms AI-Driven Performance Testing Root Cause Analysis in Seconds Traffic Simulation Anomaly Detection GDPR-Safe Synthetic Data User Journey Testing Predictive SLA Forecasting OpenAPI Test Generation Grafana / Datadog / PagerDuty Zero War Rooms

The Problem

The Cost of Inefficiency

When something breaks, every minute costs thousands. Engineers abandon product work for war rooms, and the root cause stays hidden for hours while revenue bleeds.

$1.7M

average cost per hour of a high-impact outage

31%

of engineer time lost chasing disruptions

4+ hrs

mean time to identify the root cause manually

$44.5B

projected global cloud waste in 2025

DeepXplore eliminates the war-room dynamic entirely. There is no need to assemble engineers from five teams at 3:00 AM to debate whether the problem is in the network, the database, or the application layer. DeepXplore has already narrowed the field and presented its findings. Teams bring their data; DeepXplore brings the intelligence — freeing senior engineers to build product, not chase incidents.

Classic Incident Resolution

0 minAlert fires

+15 minAssemble war room

+45 minTriage across dashboards

+2 hrsManual log correlation

+4 hrsRoot cause identified

Total: 4+ hours of downtime

DeepXplore

0 secAnomaly detected

+10 secAI agents correlate changes

+30 secRoot causes ranked

+1 minReport delivered to team

+5 minFix deployed

Total: ~5 minutes to resolution

The Solution

A Closed-Loop AI System: Detect, Explain, Fix

DeepXplore continuously analyzes your systems to detect anomalies, explain root causes, and auto-fix issues. Every incident improves the model — creating a self-reinforcing loop from detection to resolution.

Telemetry

Continuously analyze metrics, logs, traces, deployments, and infrastructure events from your existing stack.

Detect

Seasonality-aware ML models flag anomalies and predict SLA breaches days before they impact users.

Explain

Parallel AI agents investigate simultaneously. A synthesizer delivers ranked, evidence-backed root causes in seconds.

Auto-Fix

DeepXplore Code understands your codebase, implements the fix, runs tests, and deploys — in minutes, not hours.

Notify

Results and deployed fixes pushed into Slack, Jira, PagerDuty, or wherever your team works.

Learn

Every incident improves the model. Baselines tighten, false positives shrink, and detection gets smarter over time.

One Platform. Three Products.

Use independently or together for a closed prevention loop.

Performance tests detect issues. Root cause analysis explains them. DeepXplore Code fixes them automatically. Each product works standalone — together they close the loop from detection to deployment.

Performance Testing — Proactive

DeepXplore Performance Tests

Synthetic checks, load tests, CI/CD integration, and continuous baseline runs detect anomalies before users are impacted.

Synthetic Load Tests CI/CD Baseline Drift User Journeys

Alerting Integration — Reactive

Customer Alerting Systems

Your existing alerts can call DeepXplore directly, turning any production incident into an immediate root cause investigation.

Grafana Alertmanager Datadog PagerDuty OpsGenie Webhook

DeepXplore AI

AI Root Cause Analysis Engine

Parallel agents investigate telemetry, logs, traces, git commits, deployments, configs, and infrastructure events simultaneously.

Metrics Logs Traces Git Kubernetes Change Events

Correlate

Output

Ranked Findings

DeepXplore explains what changed, what broke, and what is most likely responsible — with probability scores and supporting evidence.

Probable Cause Evidence Timeline Affected Service

Automate

Auto-Code

DeepXplore Code

AI auto-coder that understands your codebase, writes implementations, runs tests, and deploys fixes — triggered by RCA findings, Jira, Trello, or manual tasks.

Codebase Analysis Auto-Implement Testing CI/CD Jira Trello

Deliver

Notify

Notify Teams

Fixes auto-deployed by DeepXplore Code or findings pushed into the tools your team already uses — no new workflow, no context switching.

Slack Jira PagerDuty OpsGenie Email Webhook

Choose Your Plan

Scale as you grow. No hidden fees, cancel anytime.

Monthly Yearly Save 10%

Basic Tier

$159

per month

Up to 10 monitored services
Traffic simulation with peak/off-peak profiles
AI-generated synthetic test data
Comprehensive performance reporting
AI root cause analysis (pay-as-you-go)
Email support

Start with Basic

Pro Tier

$399