The Production Ops Agent
NeuBird prevents incidents before the page, resolves the ones that get through with root cause in under 5 minutes at 94% accuracy, and operates production between them. Every action waits for your engineers to approve it.
NeuBirdinv-2291 · versioned · cited · conclusions, never telemetry
inv-2301cart p99 regression · N+1 in coupon-service · fix merged
kb-0133egress spikes track the weekly export job, not traffic
inv-2282ci image pull timeouts · registry mirror added · resolved
kb-0136trace sampling hides the slow path below the p99 alert
inv-2285eu-west-1 nat gateway saturation · scaled out · resolved
kb-0139orders replica lag spikes during the nightly index build
inv-2288checkout cache stampede · ttl jitter added · resolved
kb-0142checkout p99 trails every payments-db failover by ~40sTrusted by teams that run production at scale
The Production Ops Agent runs on one governed platform that queries your telemetry in place, remembers every investigation with no bulk telemetry retention, and stages every action for your engineers to approve.
The Agentic Reliability Center filters alert storms and fixes the underlying signal upstream, so the noise never reaches you. It also surfaces the blind spots: services with no owner, no alert, no runbook.
The agent does the digging a war room would take hours to finish, then hands your team the root cause, the offending commit, and a proposed fix in under five minutes. Your engineers review and approve, instead of hunting.
40% of ops engineering capacity returned, and it goes to the roadmap. Between incidents the agent trims cost, captures every fix, and rolls each incident into the leadership view.
Watch what the Production Ops Agent does when production breaks: it detects early, resolves fast, and keeps operating between incidents.
NeuBird catches silent service drift and missing SLOs before the alert storm, so the page never turns into an all-hands incident.
NeuBird investigates across 15+ sources in parallel, isolates the causal chain, and stages the exact fix for your on-call to approve.
NeuBird prunes noisy telemetry, tracks recurring cross-service patterns, and attributes model spend back to the team that drove it.
CONSOLEAWS + DatadogTeams across engineering are adopting frontier models and IDE assistants like Claude and Cursor to move faster. But when production is on fire, the bottleneck is never querying a model. It is the operational harness required to reason across infrastructure safely.
Pointing an agent at raw metrics, logs, and traces quickly floods context windows with uncurated noise. Keeping connectors, schemas, and rate limits maintained across 50+ cloud services and APM vendors turns into a full-time infrastructure project.
Off-the-shelf models do not inherently understand cross-cloud topologies, upstream dependencies, or the blast radius of a rollback. Operational context takes years of telemetry modeling and causal correlation that cannot be prompted in a single turn.
When triage happens in one-off terminal sessions or disjointed chats, institutional memory vanishes the moment the incident closes. Without a centralized memory layer, teams burn cycles, and model budgets, re-diagnosing the same failures month after month.
Moving from passive suggestions to automated remediation requires audited guardrails. NeuBird establishes clear policy gates, Suggest, Recommend, Act, so your team retains incident ownership while internal tools safely interact with production.
The model was never the problem. Production needs a governed harness around it, and that is exactly what NeuBird runs as a service.
What a Production Ops Agent isYour operational playbook is your team's hard-earned advantage. NeuBird preserves it, sharpens it, and puts it to work.
We do not ingest your logs or replicate your data. NeuBird acts on the live telemetry where it already sits, with no bulk telemetry retention.
Raw dumps burn budgets. NeuBird curates the operational state before it calls a model, so context is passed cleanly without multi-agent token sprawl.
When your on-call approves a resolution, NeuBird commits the causal chain to memory. The next time related symptoms emerge, that institutional knowledge is surfaced automatically.
NeuBird does not run behind your back or displace your engineers. It correlates the causal chain across fragmented tools and stages the remediation, then leaves the final decision where it belongs.
From a native desktop co-pilot to the Slack channel where the incident gets reported, NeuBird brings the full investigation to the surface your team is already in.
A native workspace that runs local tools and investigates alongside you.
Finds root cause in minutes, creates a PR, and reports back for approval.
50+ integrations, live in minutes, with no rip-and-replace. Connect a source once and every investigation against it sharpens the next one, because NeuBird keeps what it learned. It stores conclusions, never your logs, metrics or traces: no bulk telemetry retention.
Observes and proposes. Blind spots, drift, and risk surface in the memory. No state changes.
Investigates in parallel and presents a root cause with cited evidence and a staged fix. Still no state changes.
Gated execution through your own tooling. Every action waits for a human approval, and the audit trail shows who gave it.
Our team was able to get up and running with NeuBird rapidly. It is like having an always-on AI SRE that delivers real-time incident diagnosis and actionable fixes 24/7, saving our engineers hours of troubleshooting and improving service quality for our customers.
And who approved what they did last week? NeuBird is the one governed center that can answer, for every agent, including its own.
