01 / ACCESS
50+integrations, and any LLM
One governed connection to your telemetry and your LLMs
Telemetry queried in place, zero copy. Model calls metered once, spend attributed by team, agent, and service.
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
The gap
Agents are reaching production from every direction.
The ones your teams build. The ones your vendors ship. The ones the frontier labs release. Every one of them wants its own keys to your telemetry and your models. None of them share a memory. Nobody governs which one is allowed to act.
The market reflex is another agent or another gateway. NeuBird is the one governed center they all pass through.
FAULT / 01Keys nobody approved
FAULT / 02Model spend nobody can attribute
FAULT / 03No shared memory
FAULT / 04No single audit trail
Three pillars define the center.
Access. Remember. Serve. Every agent that touches production, including NeuBird's own, passes through the same three.
02 / REMEMBER
Zerotelemetry stored, every investigation versioned
Every investigation, by human or agent, recorded, versioned, and cited
Memory is conclusions, never telemetry. Living architecture and documentation drift are the memory made visible.
03 / SERVE
100%of actions policy-gated and on the audit trail
Engineers, leaders, and your own agents, from the same governed truth
Policy-gated for every consumer: Suggest, Recommend, Act. Nothing executes without an approval the audit trail can show.
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.