One governed center. Every consumer of operations intelligence.
NeuBird is the single, secure, audited point of access to your telemetry and your LLMs: token-optimized, with a central memory of every agentic investigation, serving your on-call engineers, your managers, and your own agentic projects from the same governed truth.
- Metrics · logs · traces
- Alerts · events
- Tickets · changes · config
- Runbooks · code · CMDB
Accessed in place: zero copy, one policy
LLMs · your choice- Claude · GPT · Gemini
- Bedrock · Azure OpenAI
- Models on your own infra
One metered, governed connection, not per-team API keys
NeuBird
The governed center of agentic operations
- Every investigation, by human or agent, recorded, versioned, and cited
- Institutional knowledge compounds inside your perimeter
- Nothing gets re-derived; every consumer starts from what is known
One audit trail across all agentic activity, human-run or autonomous
1 · On-call practitioners
Incidents arrive root-caused, with evidence and a staged fix. Any modality: web, Slack/Teams, desktop, TUI.
2 · Managers
Visibility and reporting on all agentic incident activity: what ran, who approved, outcomes, and cost, in one view.
3 · Enterprise agentic projects
Your own agents connect over MCP and inherit the same context, memory, guardrails, and audit trail on day one.
Access once. Remember forever. Serve everyone. Practitioners resolve faster, managers finally see agentic work, and every internal agent starts from governed truth.
What one agent learns, every agent knows.
Every agent that touches production has to answer the same first question: what is this system, and what has gone wrong with it before? When each agent keeps its own notes, that answer is rebuilt on every alert.
Memory moves that answer into the center. NeuBird learns a failure pattern once. An agent your platform team builds next quarter inherits it on its first run. A human asking in Slack gets the same record. Memory is inspectable, correctable, scoped to your tenant, and never contains your raw telemetry.
- Each agent keeps its own context, if it keeps any
- Fixes are rediscovered instead of recalled
- Corrections made to one agent never reach the others
- One operational record, read by every agent
- Past investigations shape the next one
- A correction anywhere is a correction everywhere
What memory holds
Topology and dependencies
Services, the infrastructure they run on, and the paths between them, discovered from your integrations and kept current.
Investigation history
Every hypothesis tested, every signal that confirmed or ruled it out, and the root cause that closed the case.
Failure patterns
Recurring shapes of trouble, generalized across incidents so the next occurrence is recognized before it pages anyone.
Actions and outcomes
What was done, who approved it, and whether it worked. This is the track record that earns an agent wider write access.
Human corrections
Facts an operator pinned, inferences they overruled, and context that only a person would know.
No telemetry retention
Logs, metrics, and traces are read at query time and discarded. Memory holds conclusions, not your raw data.
Connect once. Every agent inherits it.
The center sits between your production data and every agent that wants to reason about it. Here is what that looks like from day one to full autonomy.
Point the center at your telemetry, your cloud accounts, and the LLMs you already pay for. No agents in your clusters, no code changes, no copies of your data.
Every investigation the center runs is remembered: what was asked, which telemetry mattered, what the root cause was, who approved what. The next question starts from that history.
NeuBird’s own investigations, your on-call engineers, your leadership briefs, and your own agents all draw from the same governed memory and the same model access. One truth, many surfaces.
Agents start with proposals. Every recommendation is auditable and reviewed. As the track record builds, your team widens what the center may do on its own, action by action.
Four things every agent should inherit, built once
Most teams rebuild these four parts inside each agent they ship. The center holds them in one place, so a new agent is a consumer, not a new liability.
Trust is a property of the center, not a promise from each agent
When every agent inherits the same governance, you review one architecture instead of auditing every agent you ship.
No retention of your data
Telemetry is read at query time and reasoned over in place. The center keeps memory of investigations, not copies of your logs
Earned write access
Every agent starts by proposing. Autonomy widens per action as the audit trail proves it safe
Full audit trail
Who asked, what was read, which model reasoned, what changed, who approved. For every agent, not just ours
Your models, your policy
Bring the LLMs you already trust. One policy governs which model any agent may call, for what, at what cost
SOC 2 Type II
Independently audited security and availability controls
Private deployment
Run the center inside your own cloud account when the data cannot leave
Give every agent one center.
See the Agentic Reliability Center running against your own telemetry and your own models.