Automates DevOps workflows by integrating with SaaS tools to correlate runbook knowledge with telemetry, deployments, and incident retrospectives. Reduces manual tasks by executing automated actions in response to triggering events, enabling teams to focus on development while improving incident response and operational efficiency. Personalizes and optimizes workflows over time, ensuring alignment with team-specific best practices and reducing knowledge silos.
Funding
$500K 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.
Founders
Product
Problem
DevOps teams often struggle with repetitive, manual tasks related to incident investigation, runbook execution, and knowledge sharing across disparate SaaS tools, leading to inefficiencies and slower response times. Knowledge silos and the need to train engineers on production workloads further exacerbate these challenges.
Solution
OneGrep is an AI-powered DevOps platform that automates workflows by correlating runbook knowledge with telemetry data, deployments, and incident retrospectives. The platform enables engineers to delegate repetitive DevOps tasks to an AI agent, freeing them to focus on development. By connecting and correlating knowledge across various SaaS tools, OneGrep makes runbooks more accessible and actionable, effectively turning every engineer into a DevOps expert. The system learns and adapts over time, personalizing workflows to align with team-specific best practices and improve operational efficiency.
Target Audience
OneGrep targets DevOps teams and engineers seeking to automate manual tasks, improve incident response times, and break down knowledge silos within their organizations.
Features
- AI-powered automation of repetitive DevOps tasks, such as incident investigation and runbook execution.
- Correlation of knowledge across SaaS tools, including telemetry, deployments, and incident retrospectives.
- Integration with existing observability providers to optimize telemetry data.
- Personalized AI agent that learns team-specific best practices and improves over time.
- Workflow automation triggered by specific events, enabling automated actions across connected tools.
- Securely connected integrations with thousands of tools.