
NeuBird AI is a Production Ops Platform designed for ITOps, SRE, and DevOps teams running production cloud environments. It uses agentic AI to move operations from reactive incident response to proactive, autonomous production management.
Despite significant investment in monitoring and observability tools, teams still face alert noise, slow root cause analysis, and costly incidents. NeuBird AI solves this by continuously analyzing telemetry across cloud services, applications, and infrastructure to prevent issues, resolve incidents faster, and optimize operations.
Prevent incidents before they happen
NeuBird AI detects early signals of degradation, configuration drift, and anomaly patterns across metrics, logs, traces, and change events. Teams can identify and address issues 30 to 60 minutes before user impact while reducing alert noise by more than 78 percent.
Resolve incidents in minutes
When incidents occur, NeuBird AI automatically investigates across Azure Monitor, Amazon CloudWatch, logs, metrics, traces, and recent changes to identify root cause in minutes. AI driven triage, correlation, and runbook generation reduce mean time to resolution by up to 60 percent while minimizing the need for large war room responses or bridge calls.
Optimize cost, performance, and operations
NeuBird AI continuously analyzes cloud environments to uncover cost savings, performance issues, and gaps in observability. It identifies right sizing opportunities, missing telemetry, and repetitive operational tasks, helping teams reclaim more than 200 engineering hours per month.
Built for production cloud operations
NeuBird AI integrates with AWS services including CloudWatch, as well as Kubernetes and Azure Monitor, and tools like Datadog, Splunk, and PagerDuty.
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Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.
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Apiiro
Achieve complete risk visibility at every stage of development, from design through coding to cloud deployment. Introducing the industry-leading Code Risk Platform™, which offers a comprehensive 360° overview of security and compliance threats across various domains, including applications, infrastructure, developers' expertise, and business ramifications. By making data-driven choices, you can enhance decision-making quality. Gain insight into your security and compliance vulnerabilities through a dynamic inventory that tracks application and infrastructure code behavior, developer knowledge, third-party security alerts, and their potential business consequences. Security professionals are often too busy to meticulously scrutinize every modification or to delve into every alert, but by leveraging their expertise efficiently, you can analyze the context surrounding developers, code, and cloud environments to pinpoint significant risky changes while automatically creating a prioritized action plan. Manual risk assessments and compliance evaluations can be a drag—they are often laborious, imprecise, and out of sync with the actual codebase. Since the design is embedded in the code, it’s essential to improve processes by initiating intelligent and automated workflows that reflect this reality. This approach not only streamlines operations but also enhances overall security posture.
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