Autonomous Ops

AI Agents for DevOps.
Faster Incidents and Releases.

Detect, diagnose, and resolve incidents before customers notice. Give your SRE team their sleep back.

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Auto-Fix
Pod Restarted (Mem Leak)
Auto-Scale
Nodes +5 (High Load)
Security
Threat Neutralized

The DevOps Bottleneck.

Your smartest engineers are stuck restarting pods, debugging flaky tests, and manually approving deployments. Innovation has stalled.

On-Call Burnout

Noisy alerts and repeatable fixes pull engineers into avoidable after-hours triage.

Velocity Drag

Slow CI/CD feedback and manual staging coordination interrupt development flow and delay releases.

Tech Debt

Dependency updates and security patches pile up because no one has time to merge them safely.

Your Autonomous SRE Team.

Deploy agents that monitor, fix, and optimize your stack.

SRE Bot

Incident Response

03:14:00Alert: High Latency (Service: Checkout)
03:14:02Diagnosis: Memory Leak in Pod-492
03:14:05Action: Restarting Pod-492...
03:14:15Check: Latency Normalized.
03:14:20Incident resolved. Ticket logged.
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Example workflow • configured to your systems

QA Unit

Testing & Quality

10:00:00PR #882 Detected. Running Suite...
10:05:00Failure: 'Cart Checkout' (Timeout)
10:05:05Retrying (Flaky Check)... Failed 3x.
10:05:10Analysis: API 500 Error on /pay.
10:05:15Comment posted on PR with logs.
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Example workflow • configured to your systems

Dependency Guard

Security & Maintenance

02:00:00Scanning package.json...
02:00:05CVE-2024-992 found in 'lodash'.
02:00:10Action: npm update lodash
02:00:15PR Created. Running Tests...
02:05:00Tests Passed. Auto-Merging.
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Example workflow • configured to your systems

Security Sentinel

Threat Response

04:00:00Scanning Traffic...
04:00:05Alert: SQL Injection Detected (WAF)
04:00:10Payload: ' UNION SELECT * FROM users --
04:00:15Action: IP 203.0.113.1 Blocked.
04:00:20Status: Threat Neutralized.
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Example workflow • configured to your systems

Need another job automated?

Describe the role, tools, rules, and approvals. Nerova will help you customize the agents your workflow actually needs.

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Engineering Controls.

Governance for your production environment.

Permission Scopes

Granular control. Define exactly which repos, clusters, and databases an agent can access. Default is Zero Trust.

Threat Detection

Monitors logs for approved anomaly patterns, raises evidence, and can run predefined isolation steps within scoped permissions.

Just-in-Time Access

Agents request ephemeral credentials for each task. No long-lived API keys.

Stack Agnostic

Works with AWS, Azure, GCP, Kubernetes, and bare metal. We adapt to your stack, not the other way around.

TRUSTED INFRASTRUCTURE

Scoped Permissions Runtime Monitoring Full Audit Trails 24/7 Availability Human-in-the-Loop Future-Proofed Deterministic Guardrails Multi-Server Support Multi-Language Support

Deployment guide

How to deploy AI agents for engineering and DevOps

Begin read-only, connect the agent to existing observability and runbooks, and prove its diagnosis quality before granting narrowly scoped actions. Every production change still needs an owner and rollback path. The workflow displays above are configuration examples, not guaranteed outcomes.

Best first workflow

Start with read-only incident enrichment that collects alerts, recent deploys, service ownership, and relevant runbook steps for the on-call engineer.

What deployment requires

Runbooks, service ownership, observability access, incident history, deployment policies, test environments, and explicit rollback conditions.

Human approval boundary

Engineers approve production changes, destructive actions, security exceptions, and remediation outside documented runbooks.

When not to automate

Avoid autonomous production mutation where systems lack observability, rollback, scoped credentials, or an accountable on-call owner.

How to measure the pilot

Track enrichment accuracy, time to acknowledge, time to identify the likely owner or cause, false recommendations, and reviewer acceptance.

Questions teams should answer first

What is the best first workflow for engineering and DevOps?

Start with read-only incident enrichment that collects alerts, recent deploys, service ownership, and relevant runbook steps for the on-call engineer.

What information and systems does this workflow require?

Runbooks, service ownership, observability access, incident history, deployment policies, test environments, and explicit rollback conditions.

Which decisions must remain with people?

Engineers approve production changes, destructive actions, security exceptions, and remediation outside documented runbooks.

Your next workflow

Customize the team around the work you need done.

Start free, share the outcomes you want, then tailor each role and connect the systems your team needs to do the work.

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