NeuBird is a production operations platform whose AI agent, Hawkeye, works as a 24×7 AI site reliability engineer — investigating incidents across your whole stack and returning root causes with evidence and proposed fixes.
Hawkeye continuously interprets telemetry from the tools a team already uses — observability platforms such as Datadog, Splunk, AWS CloudWatch, and Azure Monitor, plus incident systems such as PagerDuty and ServiceNow — without requiring additional agents to install. When something goes wrong, it runs parallel investigations across more than fifteen data sources, reasons over logs, metrics, traces, and tickets the way a senior engineer would, and produces a root-cause analysis with corrective actions, typically within minutes; remediation can be proposed for approval or automated. Hawkeye deploys either as SaaS or inside the customer’s own VPC, which suits security-conscious organizations. More recently, NeuBird has added the Agentic Reliability Center, a governance layer that gives engineering teams one audited connection between production telemetry, LLMs, and the growing number of AI agents touching production.
NeuBird reports mean time to resolution reductions of up to ninety percent, has achieved the AWS Generative AI Competency, and offers Hawkeye through the Microsoft Azure Marketplace as well as directly, for teams that prefer buying through cloud marketplaces.
NeuBird is freemium to start: a free self-service trial of Hawkeye is available, with paid enterprise plans arranged through the NeuBird team. List pricing is not published.
NeuBird is designed for IT operations, SRE, and platform teams at enterprises that want faster incident resolution and less manual investigation without replacing their existing observability stack. It also fits managed service providers running operations for multiple clients.