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NeuBird Features

The Agentic Reliability Center, feature by feature.

What are the features of the Agentic Reliability Center?

01 · Console

The pulse of production, on one screen.

Open incidents, MTTR reduction, cost savings and agent confidence sit above a live service map of your hybrid cloud. When something breaks, the affected services turn red: hover one to see what is wrong and investigate the whole issue chain.

ConsoleAWS · Azure · On-prem
Open incidents11triaged from 51 open alerts
MTTR reduction24h 10m31 investigations, ~53m saved each
Cost savings$3,62531 alerts investigated at $150/h
Agent confidence92%average across 31 investigations
AWS us-east-1Azure East USOn-prem DC-2edge-gwcheckout-apiorders-dbpaymentsauth-svccatalogsearchledgermq-brokerreporting

For illustration only. The product interface may differ.

02 · Risk Sentinel

Risks found before they page anyone.

NeuBird scans your environment for forward-looking risk and sorts every signal into reliability, cost or security, each with the steps that clear it.

Risk SentinelScanned 12m ago
10signals
Reliability 6Cost 3Security 1
  1. 01checkout-api has no SLO. Define a p99 latency objective before the next release.
  2. 02orders-db peaks at 88% of max connections. Cap the per-pod pool size.
  3. 03payments-worker has no owner in PagerDuty. Assign an escalation policy.

For illustration only. The product interface may differ.

03 · Signals

Raw alerts in. Triaged signals out.

NeuBird groups the alerts from every connected source, sets the noise aside, and hands on-call a short list of signals worth acting on.

SignalsLast 24 hours
Raw alerts1,284
Noise1,172
Triaged112
112 alerts → 12 signals
orders-db: connection pool exhaustion38 alerts
flink-flight-processor: TargetDown21 alerts
payments: 5xx rate above 5%14 alerts

For illustration only. The product interface may differ.

04 · Investigations

Root cause, with the work shown.

Each investigation records the signal that started it, the root cause and a fix ready to merge, in under 5 minutes at 94% accuracy. Every finding is cited: open a citation to see the exact query the agent ran and the log line it found.

InvestigationsLast 24 hours
IDInvestigationStatus
inv-2291Checkout latency: orders-db pool exhaustedFix ready
inv-2290flink-flight-processor TargetDownResolved
inv-2288Payments 5xx after config changeResolved
inv-2287auth-svc token refresh errorsRunning
Signal · root cause in 4m 12s
High p99 latency on checkout-api, 38 alerts grouped
Root cause
Deploy #4821 raised checkout-api from 6 to 12 replicas 1without lowering the per-pod pool of 20, so the service asked for 240 connections, orders-db's whole limit 2. Requests queued for a connection and timed out 3.
[1] KubernetesFull reasoning trace →Query the agent rankubectl rollout history deploy/checkout-api -n prod --revision=42Evidence it foundREVISION 42 deploy #4821 replicas: 6 → 12
Fix
Set HIKARI_MAX_POOL_SIZE from 20 to 10 in checkout-apiPR #318 · fix/checkout-pool-sizeMerge PR

For illustration only. The product interface may differ.

05 · Agent Tasks

Scheduled work for your agents.

Agents audit recent config changes, scan for vulnerabilities, check certificate expiry and report on cost, on the schedule you set. A config audit catches the human change behind an outage before it pages anyone.

Agent Tasks4 scheduled
TaskScheduleLast run
Audit recent config changesEvery 6 hours2 changes flagged
Cost optimization reportWeekly, Mon 08:004 savings found
Security vulnerability scanDaily, 02:001 critical CVE
Certificate expiry checkDaily, 06:001 expires in 9d
Finding · Audit recent config changesSecurity group sg-0a41 opened port 5432 to 0.0.0.0/0, changed by alee 2h ago. orders-db is reachable from the internet.

For illustration only. The product interface may differ.

06 · Projects

Your whole stack, investigated as one.

Group connections such as AWS, Azure, GitHub, Slack and PagerDuty into a project, and every investigation correlates across all of them. Tune ingest filters, alert enrichment, confidence thresholds and investigation guidance per project.

Projectscheckout-prod · 5 connections
AWSAzureGitHubSlackPagerDuty
Ingest filtersDrop severity below warning · 3 rules
Alert enrichmentAdd service owner and recent deploys
Investigation agentProduction Ops Agent
Investigation guidanceCheck recent deploys and config changes first
Confidence threshold for actionable results85%

For illustration only. The product interface may differ.

07 · Connections

50+ tools, queried where they live.

NeuBird calls AWS, Azure, Kubernetes, GitHub, PagerDuty, Jira, MCP servers and more in real time, asking only for what the investigation needs, with zero telemetry storage.

Connections8 live
AWS
Azure
Kubernetes
GitHub
PagerDuty
Jira
Datadog
MCP
+Add
Live query · AWS · inv-2291cloudwatch get-metric-data orders-db --last 15m

For illustration only. The product interface may differ.

08 · Proxy

PII redacted before it leaves your network.

Run the NeuBird Proxy in your own environment, on Kubernetes or a VM. It swaps personal data in logs, metrics, traces and alerts for HMAC tokens before anything reaches NeuBird or a model, so events still correlate but no one can be identified.

ProxyHMAC redaction in your network
LogsMetricsTracesAlerts
Your network
NeuBird ProxyContainer on Kubernetes or VM
Redaction policyNamesRedactEmailRedactPhoneRedactIP addressRedactCard numberRedact
NeuBirdRedacted data only
LLMNever sees PII
Log line, redacted in your networkuser=alee@example.comusr_3f9a1c07 ip=10.24.8.17ip_b81e44d2 card=4111 1111 1111 1111card_09c7aa13 msg="checkout failed"HMAC tokens: the same value always gets the same token, and no token can be reversed.

For illustration only. The product interface may differ.

FAQ

Common questions

What are the main features of NeuBird?

NeuBird is the Agentic Reliability Center. Its features are the Console, a live view of production and a service map of your hybrid cloud; Risk Sentinel, which finds reliability, cost and security risks before they page anyone; Signals, which turns raw alerts into triaged signals; Investigations, root cause analysis with cited evidence and a fix ready to merge; Agent Tasks, scheduled work such as config audits and certificate checks; Projects, which group connections so investigations correlate across them; Connections to 50+ tools; and the NeuBird Proxy, which redacts PII inside your own network.

How does NeuBird reduce alert noise?

NeuBird takes the raw alerts from every connected source, classifies the ones that need no action as noise, and groups the rest into triaged signals. On-call engineers work from a short list of actionable signals instead of every individual alert, and each signal can start an investigation.

Can I check how NeuBird reached a root cause?

Yes. Every finding in an investigation carries a citation. Opening a citation shows the source the agent queried, the exact command or query it ran, and the log line or metric it found, so an engineer or administrator can validate the evidence and review the full reasoning trace. NeuBird delivers root cause in under 5 minutes at 94% accuracy, and no fix runs without human approval.

How does NeuBird keep personal data away from the LLM?

You can deploy the NeuBird Proxy inside your own network, as a container on Kubernetes or a standalone service on a VM. It replaces PII in logs, metrics, traces and alerts with HMAC tokens before anything is sent to NeuBird or to a model, so events still correlate but the original values cannot be recovered. It is a self-contained deployment that you run and control. NeuBird also keeps zero telemetry storage: raw logs, metrics and traces stay where they are.

Which tools does NeuBird connect to?

NeuBird connects to 50+ tools, including AWS, Microsoft Azure, Google Cloud, Kubernetes, GitHub, PagerDuty, Jira, Slack, Datadog and MCP servers. It queries each one in real time during an investigation, asking only for the data the question needs. If a tool you use is not listed, contact NeuBird and ask for it to be added.

NeuBird Features

Reliability that compounds.

See every feature on your own stack: the Console, Investigations with cited evidence, and fixes your engineers approve.