The Production Ops Agent for AWS.
NeuBird AI connects to Amazon CloudWatch, CloudTrail, and your AWS services to observe, correlate, reason, and act, triaging alerts, running playbooks, and guiding operators without adding tool sprawl.
Automated Incident Diagnostics
Natural-Language Root Cause
Rich Audit Trail for Every Action
Faster Mean Time to Resolution
Deploy on AWS in Minutes
Why AWS Customers Adopt NeuBird AI
From alerts to answers
Respond
Resolve Incidents Faster Across Your AWS Stack
NeuBird AI turns CloudWatch alarm floods into a single incident summary with probable cause, blast radius, and recommended remediation, so your team spends time resolving, not triaging.
- Automated incident diagnostics from CloudWatch and AWS service alarms
- Natural-language explanations and next-best-actions
- Correlate metrics, logs, and traces across accounts and regions
- Link incidents to recent CloudTrail changes or deploys
Scale
Scale Your AWS Ops Team Without Headcount
AI handles the first-response tasks (classification, evidence collection, and automation triggering) so your engineers can focus on reliability work that machines cannot do.
- Automated classification and severity scoring of alerts
- Evidence collection across CloudWatch, CloudTrail, and X-Ray
- Trigger AWS Systems Manager Automation or Lambda runbooks
- Guided operator workflows for complex multi-service incidents
Contextualize
Full AWS Context, 24/7
NeuBird AI correlates metrics, logs, traces, CloudTrail events, and resource health across accounts and regions, providing continuous situational awareness no on-call rotation can match.
- Cross-account and cross-region signal correlation
- CloudTrail event analysis for change causality
- IAM and security context in every investigation
- Always-on monitoring with no alert fatigue
How It Works
Five steps from signal to resolution.
01
Query
Read CloudWatch metrics, logs, and alarms, plus CloudTrail, X-Ray traces, and EKS events in real time.
02
Correlate
Map signals across time windows to detect causality between disparate events across services, accounts, and regions.
03
Reason
Apply agentic models to determine the likely root cause, assigning confidence and surfacing supporting evidence.
04
Schedule
Trigger AWS Systems Manager Automation, Lambda Step Functions, or guided runbooks, human-approved or autonomous.
05
Learn
Incorporate operator feedback to refine future incident responses and continuously improve playbook accuracy.
Use Cases
High-value AWS scenarios
App / API Degradation in ECS / EKS
Detect latency or error-rate spikes, correlate with recent deploys or cluster scaling events, and surface probable cause with remediation steps.
Cost and Capacity Anomalies
When AWS Cost Explorer detects a spending spike, NeuBird AI explains exactly what changed: resource provisioning, traffic patterns, or misconfigured autoscaling.
Network and Security Changes
Map connectivity or access issues to Security Group and NACL changes, VPC flow anomalies, or regional AWS service events via CloudTrail correlation.
Lambda and Serverless Issues
Correlate failed invocations, timeout patterns, and concurrency limit breaches across Lambda functions and event sources.
Data and Storage Performance
Explain S3, RDS, or DocumentDB throttling events and offer targeted scale or configuration guidance based on usage patterns.
Multi-Account Visibility
Combine CloudWatch signals from multiple AWS accounts into a single AI-authored incident view, no manual log aggregation required.
Integration Options
Get started in minutes, not weeks.
Deploy from AWS Marketplace
Launch directly into your AWS account from the AWS Marketplace listing. Consolidated billing, no separate vendor contract required.
Fully Managed SaaS
Cloud-native platform hosted on AWS. Zero infrastructure to manage. Connect your data sources and start resolving incidents within the hour.
Hybrid and Multi-Cloud
Correlate AWS, Azure, GCP, and on-premises signals in a unified AI-authored view. Ideal for enterprises with complex multi-environment footprints.
FAQ
Common questions
Do we need to replace our existing monitoring tools?
No. NeuBird AI connects to your existing observability stack (including CloudWatch, Datadog, and other tools) without ripping and replacing anything.
Can NeuBird AI correlate logs across multi-cloud environments?
Yes. NeuBird AI adds multi-cloud correlation by analyzing CloudWatch data alongside signals from Azure, GCP, and on-premises infrastructure in a single AI-authored view.
Can NeuBird AI run inside our VPC?
Yes. NeuBird AI supports both SaaS and private VPC deployment, with full SSO/SAML, RBAC, and data minimization controls. No customer data is used for model training.
Is remediation fully autonomous?
You choose. Start with human-approved actions and gradually graduate to safeguarded automation as confidence in playbook accuracy grows.
How quickly will we see value?
Teams typically see meaningful incident correlation within days of connecting their first AWS data sources. Most deployments reach production-grade runbook automation within weeks.
Get Started
Deploy the Production Ops Agent for AWS today.
Connect CloudWatch in minutes. Resolve your first incident with AI-generated root cause and remediation guidance the same day.