For Platform Engineering Teams
Ship the golden path, not the pager duty.
NeuBird AI absorbs incidents across the platforms you built, so your team keeps shipping self-service infrastructure instead of firefighting the services running on top of it.
The Platform Team's Dilemma
Building the platform and running it can't both come first.
The Escalation Magnet
When a tenant service degrades, platform engineers get paged first, even when the root cause sits three layers up in un-instrumented application code.
Golden Paths vs. Manual Drift
Self-service infrastructure breaks down the moment teams have to manually watch clusters for configuration drift and unapproved deviations.
Runaway Ingestion and Token Costs
Piping raw telemetry into proprietary data lakes or DIY AI wrappers quietly explodes API bills and egress fees.
Roadmaps Displaced by Firefighting
Incident firefighting keeps stealing the hours meant for the next abstraction your app teams are waiting on.
How the Production Ops Agent Extends Your Platform
Autonomous triage across every tenant.
Queries Infrastructure and Workloads in Place
Through context engineering, NeuBird AI queries Kubernetes, service meshes, cloud providers, and application telemetry in place, with no data duplication and no agents to deploy.
Distinguishes Workload Noise from Platform Failures
It evaluates signals across your stack in parallel to determine whether an outage originates in the shared platform or in tenant code, mapping the causal chain in minutes.
Routes with Evidence, or Stages the Fix
Workload issues route to app owners with full root-cause context attached; platform issues arrive with staged remediation runbooks, held for human approval.
Built for Platform Teams
What it gives your platform.
Living Architecture Mapping
Discovers dynamic dependencies from live cluster traffic, keeping your platform topology accurate across continuous releases.
Cross-Layer Correlation
Distinguishes platform-level incidents from workload-level noise, so escalations land with the team that can actually act.
Smart Routing
Attributes each incident to the owning team with the causal chain attached, ending the "whose service is this?" scramble.
Documentation & Runbook Drift
Flags stale runbook steps that reference decommissioned hosts or out-of-date Helm charts before someone follows them mid-incident.
Centralized, Governed Context
Functions over MCP to feed curated context into your internal developer tools and IDEs, without letting models query raw production databases.
Zero-Storage Security
Runs entirely inside your VPC, on-prem, or air-gapped environments, SOC 2 Type II compliant, with no telemetry copied out.
FAQ
Common questions
How does NeuBird AI handle multi-tenant Kubernetes environments?
NeuBird AI reasons across cluster, namespace, and workload telemetry in place. It isolates tenant-specific issues from shared node or control-plane degradations, without forcing data replication into a third-party SaaS.
Does NeuBird AI execute remediation on our clusters automatically?
No. NeuBird AI follows strict human-in-the-loop guardrails: Suggest, Recommend, Act. High-confidence fixes are staged for explicit approval in your CLI or Slack before anything runs against a cluster.
How does NeuBird AI know if an incident belongs to the platform team or an app team?
The Agent Context Engine traces the causal chain across every layer, platform, workload, and dependency, and attributes the incident to whichever layer actually caused it, rather than whichever layer paged first.
Does NeuBird AI enforce our platform's golden-path policies automatically?
NeuBird AI detects drift from your defined golden-path configuration and can remediate it automatically within the guardrails you set, or flag it for review if you prefer manual approval.
Does NeuBird AI store our telemetry or production data?
No. NeuBird AI runs entirely within your VPC, on-prem, or air-gapped environment and queries telemetry in place. Nothing is copied into an external data lake, and the platform is SOC 2 Type II compliant.
How does NeuBird AI feed context into our internal developer tools?
It functions over MCP to serve curated, governed context to your internal developer platforms and IDEs, without giving models direct access to raw production databases.
Can app teams see the same investigation NeuBird AI runs?
Yes. When an incident is routed to an app team, they receive the same root cause analysis and causal chain the platform team would see, so no context is lost in the handoff.
For Platform Engineering
Ready to own less toil?
See how NeuBird AI triages and routes incidents across every layer of your platform.