The AI SRE and Beyond
NeuBird is the AI SRE that investigates every alert across your stack, then keeps going: preventing the next incident and operating production in between.
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
Every team that runs production knows this week. It is not a talent problem or a tooling problem. It is what Day 2 operations costs when every step is done by hand.
83% of organizations say their teams ignore alerts.
Alert fatigue is what happens when most alerts are not actionable: the signal-to-noise ratio collapses and the critical page gets the same glance as the hundredth false positive. Thousands of alerts a week, correlated by nobody, until one of them is real.
Every investigation starts from zero.
Toil is the manual, repetitive work that scales with your services instead of with your headcount: open six tabs, pull the deploy history, rebuild the timeline, correlate by hand. The same hunt, every incident, by whoever happens to be on call.
One P1, eight engineers, three hours.
A war room is what an incident becomes when nobody can see the causal chain: the whole team on a bridge, narrating dashboards to each other, while the root cause sits in a commit someone approved yesterday. MTTR is measured in meetings.
An AI SRE investigates every alert, so the 2 AM page arrives with the root cause already attached. Your on-call reviews and approves instead of hunting.
See the AI SREOur 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.
Customer proof
It helps define the problem before everybody gets on a call, so we're all working towards solving that problem versus trying to disagree on what the problem is.
During a web-service incident, the team suspected Redis. NeuBird traced the first warning signs to MongoDB cluster latency 56 minutes before the primary alerts fired, and steered the investigation to the real cause.
NeuBird separates actionable alerts from noise, so an incident leaves the team very few signals to chase. Agentic task assignment is next: it condenses the remaining alerts into tasks engineers can act on.
RH sells around the clock across North America, the UK and Europe. NeuBird investigates on demand, querying data in place, so protecting every market needs no heavy data-streaming pipeline.
“We were able to use the tool to quickly pinpoint where [the issue] was, and the tool also recommended remediation action, which was spot on.”
“The time it takes to root cause and solve an issue is about the most important concern for anyone leading IT operations. GenAI technologies like NeuBird AI are an absolute necessity as we prepare ourselves for the next decade.”
“An always-on 24/7 Production Ops Agent has been critical. We resolve incidents faster, eliminate alert fatigue, and prevent issues before they ever impact production.”
The Production Ops Agent runs on the Agentic Reliability Center: one governed platform that queries your telemetry in place, remembers every investigation, and stages every action for your engineers to approve. Here is what each part of your week becomes.
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 alerts that remain are the ones worth waking up for.
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. Nobody rebuilds the timeline by hand.
Between incidents the agent trims cost, captures every fix into memory, and rolls each incident into the leadership view. The next time the symptoms appear, the answer is already there, so the bridge never opens.
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.
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 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. 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.
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 isFrom 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.
And who approved what they did last week? NeuBird is the one governed center that can answer, for every agent, including its own.
