NeuBird
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The Agentic Operations Center

NeuBird connects your telemetry and your LLMs once, remembers every investigation, and serves your engineers, your leaders, and your own agents from the same governed truth.

neubird · one center, three consumersZero telemetry stored

On-call engineer

Root cause
Connection pool exhaustion · payments-db
Evidence
14 services · 3 deploys · cited
Proposed fix
Roll back #4821 · awaiting approval

inv-2291 · seen before · 2 prior fixes

Engineering manager

Agentic work
31 investigations · 4 approvals · 0 unattributed
Cost by team
Payments 38% · Search 22% · Platform 17%
Blind spots
2 services with no owner and no alert

Same memory · same evidence · no deck

Your own agent

Query
have we seen this before?
Answer
inv-2291 · fixed 2 wks ago · approver: rmalik
Inherited
context · memory · guardrails · audit

Governed by the same policy · Recommend

Central memory

inv-2291 · versioned · cited · conclusions, never telemetry

RCA accuracy

94%

Time to root cause

<5 min

Writing · conclusions and institutional knowledge
Investigationinv-2301cart p99 regression · N+1 in coupon-service · fix merged
Knowledgekb-0142checkout p99 trails every payments-db failover by ~40s
Investigationinv-2291payments-db pool exhaustion · rollback #4821 · resolved
audit
09:14:02 · rmalik approved rollback #4821 · consumer: slack · policy: Act · 09:16:40 · agent read payments-db dashboards · policy: Recommend · 09:21:07 · cursor session queried inv-2291 · consumer: mcp · read only · 09:24:55 · scheduled brief generated · consumer: leadership · no writes · 09:31:12 · write to search-api held for approval · owner: platform
models
one metered connection · claude, gpt, bedrock · spend by team, agent, and service · per-agent budgets · caps enforced before the call · no key sprawl · one place to rotate and revoke · model choice per task · not per team, per agent

Trusted by teams that run production at scale

AgeroCommonwealth BankDeepHealthEverPureKAi
Platform & architecture

One center, seen two ways.

Watch what NeuBird does when production breaks, then look underneath at the governed platform that lets it act safely.

What NeuBird does live, on your stack

80% fewer P1 war rooms

Detect earlyBefore the war room

NeuBird catches silent service drift and missing SLOs before the alert storm, so the page never turns into an all-hands incident.

RCA in under 5 min at 94% accuracy

Resolve fastRoot cause, staged fix

NeuBird investigates across 15+ sources in parallel, isolates the causal chain, and stages the exact fix for your on-call to approve.

~10% of alternative cost

Operate continuouslyBetween incidents

NeuBird prunes noisy telemetry, tracks recurring cross-service patterns, and attributes model spend back to the team that drove it.

NeuBird production console showing triaged incidents, time to root cause under five minutes, and actions awaiting approval on the audit trail
Enter NeuBird

The Agentic Operations Center, in three moves.

The governed platform that unifies access to your telemetry and LLMs, records institutional memory, and sets execution guardrails, so your team keeps the incident. It doesn't replace your tooling; it's the hub your teams and DIY agents plug into.

01 / ACCESS
50+integrations, and any LLM

Connect your estate once

Connect your multi-cloud estate, APM, and logging platforms once. Data is queried in place with zero telemetry storage: no new data lakes, no duplicated egress bills.

02 / REMEMBER
Zerotelemetry stored, every investigation versioned

Institutional memory that compounds

Every investigation, post-mortem, and human-approved fix is captured as institutional operational memory. Knowledge compounds within your perimeter instead of vanishing when engineers leave.

03 / SERVE
100%of actions policy-gated and on the audit trail

Plug in your teams and your agents

NeuBird embeds into Slack, Jira, and ServiceNow. Your internal agents, Cursor setups, and Claude instances plug in over MCP to inherit telemetry context and safety policies on day one.

See the platform
The production harness

Reliable ops automation needs more than an API key.

Teams 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.

Connecting tools is just day one

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.

Domain knowledge is the true moat

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.

The amnesia tax

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.

Earned autonomy and safety

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 an Agentic Operations Center is
BYOB

Bring your own business knowledge.

Your operational playbook is your team's hard-earned advantage. NeuBird preserves it, sharpens it, and puts it to work.

Zero-copy, in-place querying

We do not ingest your logs or replicate your data. NeuBird acts on the live telemetry where it already sits, with zero telemetry storage.

Curated context over token waste

Raw dumps burn budgets. NeuBird curates the operational state before it calls a model, so context is passed cleanly without multi-agent token sprawl.

Self-updating memory

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.

Leverage, not replacement

The center does the hunting. Your team keeps the call.

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.

Operational reasoning

In-house scripts & standalone LLMs
Fragile integrations that require constant re-engineering
Pure LLM proxies / gateways
Routes tokens, with zero visibility into operational topology
NeuBird, the Agentic Operations Center
Deep causal reasoning across 15+ sources in parallel

Incident memory

In-house scripts & standalone LLMs
Ephemeral; restarts investigation on every alert
Pure LLM proxies / gateways
None; sessions clear once the prompt completes
NeuBird, the Agentic Operations Center
Retains versioned conclusions and evidence without storing telemetry

Extensibility (MCP)

In-house scripts & standalone LLMs
Must manually wire individual tool connectors
Pure LLM proxies / gateways
Limited to API-key metering and routing
NeuBird, the Agentic Operations Center
Native MCP hub: custom agents inherit shared memory and context on day one

Incident governance

In-house scripts & standalone LLMs
High-risk autonomous execution without safeguards
Pure LLM proxies / gateways
Out of scope
NeuBird, the Agentic Operations Center
Suggest, Recommend, Act: human review on every production write, so your team keeps the incident
One agent, every surface

The same investigation, wherever your team already works.

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.

SURFACE / 01Live operational context
Desktop co-pilot

A native workspace that runs local tools and investigates alongside you.

SURFACE / 02Live operational context
In your Slack channels

Finds root cause in minutes, creates a PR, and reports back for approval.

Explore every interface
Trust by architecture

Nothing executes without an approval the audit trail can show.

Suggest

Policy 1

Observes and proposes. Blind spots, drift, and risk surface in the memory. No state changes.

Recommend

Policy 2

Investigates in parallel and presents a root cause with cited evidence and a staged fix. Still no state changes.

Act

Policy 3

Gated execution through your own tooling. Every action waits for a human approval, and the audit trail shows who gave it.

  • Runs in your environment
  • Zero telemetry storage
  • Human approval on every action
  • One SOC 2 Type II audit trail
Customer proof

Teams that run production on NeuBird.

Our team was able to get up and running with NeuBird AI 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.
Madhu Jahagirdar
Madhu Jahagirdar
VP of Cloud, Technology & Product, DeepHealth
DeepHealth
<5 min
to root cause, saving hours of troubleshooting on every incident
The question the CIO cannot answer today

And who approved what they did last week? NeuBird is the one governed center that can answer, for every agent, including its own.