🚀 AI-Powered Incident Management

AI that explains production failures and guides safe recovery.

X Tech adds an intelligent decision layer between observability tools and recovery actions.

⚡️ Join 200+ engineers already on the waitlist

The real problem isn't bugs — it's recovery

When incidents happen, the clock starts ticking. Here's what's at stake.

Long Downtime

Extended outages during critical incidents, costing you revenue and customer trust with every minute of downtime.

Manual Recovery

Fumbling through runbooks and dashboards while systems are down, leading to slow and error-prone recovery.

High Stress

On-call burnout from high-pressure incident response, affecting team morale and retention.

No SRE Expertise

Lack of specialized Site Reliability Engineering knowledge when you need it most, especially in growing teams.

⏱️ Average incident recovery time: 4+ hours without automated guidance

A decision layer between observability and action

Connect your monitoring tools to automated recovery with intelligent decision-making.

Monitoring tools

Datadog, Grafana, Prometheus, New Relic

Xecurecode AI

AI-powered decision layer for automated recovery

Real-time analysisContext-awareAction recommendations

Recovery actions

Automated rollbacks, scaling, failover

What Xecurecode AI does

Detect production failures

Instantly identify issues across your stack with intelligent anomaly detection

Explain why failures happened

Get natural language explanations of root causes, not just raw metrics

Recommend safe recovery steps

Receive actionable runbooks tailored to your specific incident context

Optionally trigger controlled rollback

One-click or automated safe rollbacks with dependency awareness

How Xecurecode AI works

From detection to recovery in four intelligent steps.

01

Lightweight SDK observes

A zero-config SDK instruments your runtime and emits a continuous telemetry stream — no agents, no overhead.

SDK → telemetry stream
02

Signals correlated

Events across services, logs, and traces are joined in real time to surface meaningful cross-system patterns.

Event correlation graph
03

AI explains root cause

The AI decision layer reads correlated signals and produces a plain-language diagnosis — not a raw metric dump.

AI analysis panel
04

Recovery actions guided

Dependency-aware rollback options are surfaced with impact previews so your team acts fast without guesswork.

Rollback UI
From 4+ hours of downtime to minutes

Supported Runtimes

Deploy anywhere with our language-agnostic SDK

Node.js
Python
Java

More runtimes coming soon: Go, Ruby, PHP, Rust, .NET, Deno

Built for teams without SREs

Enterprise-grade reliability, without the enterprise headcount.

01

Faster incident understanding

AI-powered root cause analysis in seconds — no more war rooms, log spelunking, or guesswork under pressure.

Root cause in seconds
02

Faster, safer recovery

Guided recovery paths with built-in safety guardrails so your team moves quickly without making things worse.

Safety guardrails
03

Reduced downtime

Shorten your mean time to resolution and minimize revenue loss before customers ever notice a problem.

Minimize revenue loss
04

Less operational stress

Eliminate firefighting as a full-time job. Give your engineers the headspace to build, not babysit production.

Focus on building

Supported & incubated by

Backed by institutions that shape India's startup ecosystem.

DPIIT IndiaDPIIT India

DPIIT India

Recognized startup under the Department for Promotion of Industry and Internal Trade, Government of India.

Startup BiharStartup Bihar

Startup Bihar

Incubated and supported by the Startup Bihar initiative under the Government of Bihar.

IIT PatnaIIT Patna

IIT Patna

Incubated at the Indian Institute of Technology Patna — one of India's premier technical institutions.

Be ready before your next outage

Transform your infrastructure with enterprise-grade reliability

✦ No credit card required ✦ Free during beta ✦