Neubird offers an AI‑driven SRE agent that continuously monitors hybrid cloud and on‑prem environments, automatically ingesting data from observability, CI/CD, and incident‑management tools to diagnose root causes in real time. Using large‑language‑model reasoning, it generates evidence‑based remediation plans and can execute approved actions, reducing mean time to resolution and alert fatigue for SRE, platform, and DevOps teams.
Funding
$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
AWFounders
Product
Problem
Modern SRE and DevOps teams spend a large portion of their time manually gathering telemetry, correlating alerts across multiple tools, and diagnosing root causes, leading to long mean time to resolution and alert fatigue.
Solution
Neubird provides an AI‑driven SRE agent that operates continuously across hybrid cloud and on‑prem environments. When an alert fires, the agent automatically ingests data from observability platforms, CI/CD systems, infrastructure‑as‑code repositories, and incident‑management tools. It reasons over this context using large‑language‑model based agents, identifies the most likely root cause, and generates a remediation plan or executes approved actions. The platform presents concise, evidence‑backed findings to engineers via their existing workflows, enabling rapid approval and deployment of fixes while reducing manual investigation effort.
Target Audience
Neubird is aimed at SRE, platform, and DevOps teams in medium to large enterprises that manage complex, multi‑cloud or hybrid infrastructures and require faster, automated incident resolution.
Features
- Real‑time integration with over 30 observability, cloud, and DevOps tools (e.g., Datadog, Prometheus, CloudWatch, Splunk, PagerDuty, ServiceNow, GitHub, Jira)
- Autonomous incident investigation that queries metrics, logs, traces, deployment history, and configuration data without human prompting
- LLM‑powered reasoning engine that builds causal hypotheses, tests them against live telemetry, and iterates to pinpoint root causes
- Automated remediation suggestions and optional execution via AWS Systems Manager, Lambda, or custom runbooks, with full audit trails
- Secure, read‑only data access with SOC 2 Type II compliance, role‑based permissions, and VPC‑level deployment options
- Unified dashboard and API delivering concise RCA reports, blast‑radius analysis, and next‑best‑action recommendations
- Continuous learning from operator feedback to improve future incident response accuracy