Meet your AI SRE teammate

Built for site reliability engineering teams who need more than dashboards.
Lower observability costs ● Get to the root cause faster ● Deliver reliable production outcomes.

OpsPilot is an AI-Powered observability and site reliability platform designed to reduce operational complexity, lower observability costs, and help engineering teams resolve incidents faster

60-70%

Lower observability cost vs. mainstream solutions

<5 min

To sign-up and connect your stack

40%

Faster mean time to resolution

Secure

SOC 2 Type II · GDPR aligned

Vinay J - Head of Platform Engineering

OpsPilot surfaces exactly what needs attention — the AI suggestions are genuinely useful, not just noise.

Enterprise-ready security and compliance

SOC 2 Type II Certified · GDPR aligned · Built for secure enterprise operations

Working 24/7 across your entire stack

OpsPilot automatically investigates and correlates – then explains exactly what happened and what to do next
🤖
AI Coworker
Your always-on SRE teammate
🔎
AI Investigation
Context-aware stack analysis
🎯
Root Cause Analysis
Find the real problem, fast
💬
Where You Work
Slack & Teams delivery
📈
Proactive Insights
Prevent the next incident
AI SRE Teammate · Gartner-aligned category
Meet your AI Coworker
OpsPilot's Coworker is an always-on AI SRE that monitors your entire stack, investigates anomalies proactively, and tells you what needs your attention — before your pager goes off. It doesn't just alert; it acts.
OP
OpsPilot Coworker
● Monitoring 12 services · 166 tasks executed this month
🔍 I detected unusual latency in your payment-processor service (P95: 2.8s vs baseline 340ms).

I've correlated this with a database connection pool exhaustion event that began 14 minutes before your first alert fired. Root cause: pool limit of 15 is insufficient during peak load (2–4 PM EST).

Recommended actions: Increase connection pool (15 → 30), add connection timeout alerts, review slow queries in payments DB. I've drafted a runbook — want me to send it to Slack?
27 Critical 54 Warning 68 Info 149 total active insights
AI Investigation
Context-aware analysis across your entire stack
OpsPilot doesn't just look at the service that threw the error. It analyses correlations across all your metrics, logs, and traces simultaneously — then explains its reasoning in plain English.
1

Ingesting telemetry signals

Analysing 339 metrics · 12 services · 4.2M log lines · 18K traces from the last 30 minutes

2

Cross-service correlation complete

Found 3 correlated anomalies. Payment service latency spike correlates with DB connection exhaustion (confidence: 94%) — not the downstream API timeout as initially flagged.

3

Root cause identified · Remediation ready

Database connection pool exhaustion in payment-processor. Runbook generated. Delivering to #ops-alerts in Slack.

Root Cause Analysis
Stop chasing red herrings. Find the origin every time.
OpsPilot correlates metrics, logs, and traces to pinpoint the true source of every incident — not just the symptom that fired the alert. It tells you exactly what to fix, in plain English.
Initial alert (false lead)
API Gateway Timeout
Status 503 · 516 occurrences
⚠ Symptom, not cause
True root cause (AI-identified)
DB Connection Pool Exhausted
payment-processor · 3,458 occurrences
🔴 Origin event — 14 min earlier
AI-recommended fix
Increase connection pool: 15 → 30 · Add timeout alerts · Review slow queries in payments DB
✓ Runbook generated · Ready to send to Slack
Where You Work
Answers in Slack. Before you open a dashboard.
OpsPilot delivers root cause analysis, recommended actions, and runbooks directly to Slack or Microsoft Teams — the moment something needs attention. No dashboard hopping, no context switching.
# ops-alerts Today 14:37
OP
OpsPilot Coworker 2:37 PM
🔴 Incident detected · payment-processor · Severity: High

Root cause: Database connection pool exhaustion causing cascading failures. 67% of incoming requests failing.

Time to fix: ~8 minutes with recommended actions.

📋 Runbook ready · 🔗 Full analysis in OpsPilot
Proactive Insights
Prevent the next incident before it happens.
OpsPilot continuously analyses your stack for patterns that precede incidents. It surfaces recommendations for improving reliability, reducing costs, and eliminating recurring issues — before your users notice anything.

Memory leak pattern detected — auth-service

Heap usage growing 2.3% per hour for 72 hours. Based on historical patterns, this will cause an OOM crash within 18–24 hours. Recommended: restart schedule + heap dump analysis.

💡

Cost optimisation — over-provisioned metrics retention

You're retaining 28-day metric data but only querying the last 7 days 96% of the time. Reducing retention could save $340/mo.

Recurring incident resolved — DB connection exhaustion

This has occurred 4 times in 30 days. OpsPilot has added this to your incident memory. Future occurrences will be resolved automatically with the approved runbook.

Rene H - SRE Lead

The AI support is genuinely useful — it helps narrow down errors fast and tells you what to fix, not just what broke.

From your existing stack to AI-powered action

No migration. No rip and replace. Three steps and your AI SRE teammate is live.

Connect to your existing stack

Point your OTel pipeline at OpsPilot. If you use Grafana, or any OTel-compatible source, you’re 90% there.

AI analyses your stack

Your AI coworker starts watching immediately, correlating metrics, logs and traces to learn your baseline.

Answers delivered where you work

Root cause, recommended fix and runbook appear in Slack or Teams before your team opens a dashboard.

Keep your existing telemetry stack. Add AI-powered SRE capabilities.

Works with Grafana, Prometheus, and OpenTelemetry — adding AI investigation and autonomous action on top of the tools your team already trusts.

OpsPilot integrates with your existing observability stack in minutes — no migration, no rip-and-replace, no new agents required. Whether you’re running Grafana, Prometheus, or any OpenTelemetry-compatible source, OpsPilot adds the AI intelligence layer your current tools don’t provide.

Already using Datadog or New Relic? OpsPilot works alongside those too — delivering AI SRE capabilities at a fraction of the cost.

Brandon B - Director of IT Operations

The AI capabilities are straightforward to use, and the support team ensures an excellent experience from day one.

Why teams switch to OpsPilot over the alternatives

Higher G2 scores for support, setup speed, and overall satisfaction – at 60-70% lower cost

OpsPilot G2 Comparison
OpsPilot
AI-powered observability & site reliability
Overall73.69OpsPilot Ease of Use8.8OpsPilot Support9.7OpsPilot Ease of Setup9.0OpsPilot Ease of Admin9.1OpsPilot Meets Requirements9.5OpsPilot Recommend9.6OpsPilot Product Direction9.4OpsPilot
New Relic
Full-stack observability
70.60+3.09
8.4+0.4
8.3+1.4
8.2+0.8
8.8+0.3
9.3+0.2
9.2+0.4
9.2+0.2
Datadog
Cloud-native observability
83.5+9.19
8.2+0.6
8.3+1.4
8.3+0.7
8.2+0.9
8.8+0.7
8.8+0.8
9.0+0.4
SolarWinds APM
Infrastructure monitoring
58.21+15.48
8.2+0.6
8.7+1.0
8.0+1.0
8.6+0.5
9.1+0.4
9.1+0.5
9.1+0.3
Grafana Labs
Visualization platform
55.31+18.38
8.3+0.5
8.2+1.5
8.3+0.7
8.5+0.6
9.1+0.4
9.0+0.6
9.1+0.3
Sentry
Error tracking
55.23+18.46
8.5+0.3
8.2+1.5
8.1+0.9
8.7+0.4
9.2+0.3
9.0+0.6
9.2+0.2
Splunk
Enterprise SIEM & logs
41.90+31.79
8.1+0.7
8.2+1.5
7.5+1.5
8.4+0.7
9.0+0.5
9.0+0.6
9.0+0.4
Honeycomb
Observability exploration
Limited sample — 16 reviews
32.69+41.00
9.3+0.4
8.0+1.6
10.0−0.6
Elastic APM
Search platform extension
Limited sample — 14 reviews
19.79+53.90
7.5+1.3
8.9+0.8
9.0+0.5
8.0+1.6
+0.0 OpsPilot leads
−0.0 Competitor leads
= 0.0 Tied

What users say about OpsPilot

Vinay J - Head of Platform Engineering

OpsPilot surfaces exactly what needs attention — the AI suggestions are genuinely useful, not just noise.

Brandon B - Director of IT Operations

The AI capabilities are straightforward to use, and the support team ensures an excellent experience from day one.

Rene H - SRE Lead

The AI support is genuinely useful — it helps narrow down errors fast and tells you what to fix, not just what broke.

Your path to autonomous operations

OpsPilot Maturity Progression
Reactive
  • Alert-driven investigation
  • Manual root cause analysis
  • Dashboard-led decisions
  • High incident fatigue
Most teams start here
Active
  • AI-surfaced recommendations
  • Continuous stack analysis
  • Health scoring & trends
  • Proactive gap detection
  • Insights delivered to Slack
Where great teams operate
Autonomous
  • Self-healing runbooks
  • Automated remediation
  • AI SRE teammate
  • Continuous learning
Coming soon
The future we're building
Slower resolution
Faster resolution · lower cost
Reliability · resilience
Business outcomes

OpsPilot meets you where you are — and grows with you.

Simple Fair Pricing

Ready to add an AI SRE teammate?

Connect your OpenTelemetry pipeline in 5 minutes and your new AI SRE Coworker is part of the team.

What is AI SRE

AI Site Reliability Engineering (AI SRE) uses artificial intelligence to automate the investigation, triage, and remediation of production incidents. Instead of engineers manually checking dashboards and correlating signals, an AI SRE like OpsPilot’s Coworker continuously monitors your stack, identifies issues, and delivers prioritized findings and recommended actions — 24/7.

Autonomous reliability means your observability stack doesn’t just collect data — it acts on it. OpsPilot moves beyond reactive alerting to proactively investigate incidents, detect patterns before they become outages, and continuously improve operational outcomes without requiring manual intervention from your engineering team.

OpsPilot integrates natively with OpenTelemetry (OTLP), Grafana, and Prometheus, and works alongside existing tools including Datadog, Dynatrace, and New Relic. No new agents are required. If you’re already sending telemetry data, OpsPilot connects in minutes.

No. OpsPilot adds an AI intelligence layer on top of your existing observability stack. It ingests your current telemetry via OpenTelemetry’s OTLP standard — no data migration, no rip-and-replace, no new agents to deploy.

OpsPilot helps engineering teams reduce observability spend in two ways: by identifying gaps and redundancy in your current instrumentation, and by replacing expensive legacy platforms like Datadog or Dynatrace with a modern AI-powered alternative at 60–70% lower cost. The pricing page includes a live cost comparison calculator.

Yes. OpsPilot is SOC 2 compliant. Security and compliance details are available on request — visit our trust page 

OpsPilot, formerly FusionReactor Cloud, is Intergral’s AI-powered observability and AI SRE platform.

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