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.
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.
One center · three consumersZero telemetry stored
Acme · ProdChannelsincident-checkoutpayments3deploysplatform-oncallApps
NeuBird
NeuBirdToday
V
Vinod09:11checkout p99 is climbing again.
NeuBirdApp09:14
Root causeConnection pool exhaustion · payments-dbEvidence14 services · 3 deploys · citedBlast radiuscheckout, cart, orders · 3 of 14 servicesProposed fixRoll back #4821 · awaiting approval
Approve rollbackReview evidenceRequires · Andrew LeePolicy · Act
RVP3 repliesLast reply 2m agoAndrew Lee is typing…
Message #incident-checkout
inv-2291 · seen before · 2 prior fixes
Central memoryServing · slack
inv-2291 · versioned · cited · conclusions, never telemetry
RCA accuracy94%
Time to root cause<5 min
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 ~40saudit
09:14:02 · alee 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
Platform & architectureNeuBird · one platform, every consumer
One center, seen two ways.
Watch what NeuBird does when production breaks, then look underneath at the governed platform that lets it act safely.
The one governed platform underneath
50+ integrations, queried in place
AccessConnect once
Connect your multi-cloud estate, APM, and logging once. NeuBird queries telemetry where it already lives, with zero telemetry storage: no new data lake, no duplicated egress bill.
Never diagnose the same thing twice
RememberConclusions, not logs
Every investigation and approved fix becomes institutional memory, held as conclusions with zero telemetry storage. Knowledge compounds inside your perimeter instead of leaving with the engineer.
Suggest · Recommend · Act
ServeGoverned control
NeuBird serves engineers, leaders, and your own agents over MCP under policy-gated tiers. Every action is on the audit trail.
The governed centerZero telemetry storage
Your agentsover MCP
Engineersin Slack & Jira
Leadersaudit & spend
NeuBird · one platform, every consumer01AccessQueried in place50+ integrations
02RememberConclusions keptNever logs or metrics
03ServePolicy-gatedSuggest · Recommend · Act
Your estateTelemetry & your LLMs, queried in place
Every action waits for a human.
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. It doesn't replace your tooling; it's the hub your teams and DIY agents plug into.
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.
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 isBYOB
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
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
A native workspace that runs local tools and investigates alongside you.
SURFACE / 02Live operational context
Finds root cause in minutes, creates a PR, and reports back for approval.
Meets you where you run
Connect once. Learn over time.
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: zero telemetry storage.
Trust by architecture
Nothing executes without an approval the audit trail can show.
Suggest
Observes and proposes. Blind spots, drift, and risk surface in the memory. No state changes.
Recommend
Investigates in parallel and presents a root cause with cited evidence and a staged fix. Still no state changes.
Act
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
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.