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What is OrbOps AI?

OrbOps AI is a holistic infrastructure operations platform specifically created for teams engaged in DevOps, Site Reliability Engineering (SRE), Platform Engineering, Cloud management, and Security. This cutting-edge O2 AI system utilizes specialized AI agents to enhance and streamline workflows related to CI/CD, releases, incident management, on-call responsibilities, infrastructure upkeep, Kubernetes oversight, security measures, access governance, resource allocation, monitoring, and financial operations (FinOps). By synthesizing information from a variety of sources including source code, cloud infrastructures, Infrastructure as Code methodologies, monitoring instruments, security protocols, identity management systems, and cost-control frameworks, the platform enables teams to effectively tackle challenges, formulate deployment strategies, connect alerts, understand dependencies, and automate repetitive tasks. OrbOps AI follows a methodical model of Observe → Reason → Plan → Approve → Act → Verify, combining automated workflows with necessary human supervision and policy adherence for critical infrastructure functions. It is designed to work seamlessly with popular DevOps tools like GitHub, GitLab, Terraform, Kubernetes, AWS, GCP, Azure, Prometheus, Grafana, OpenTelemetry, PagerDuty, and Jira, significantly boosting the efficiency of the overall technology ecosystem. In addition to its extensive functionalities, OrbOps AI offers organizations the opportunity to refine their operational processes and achieve greater productivity.

What is Autoheal?

Autoheal carefully tracks alerts, identifies possible root causes, and proposes solutions while functioning with human supervision. Furthermore, it completely automates the phase of postmortem analysis. At the heart of this operation is the Production Context Graph (PCG), which acts as a fluid and continuously updated model linking your infrastructure, application logic, production tools, and accumulated knowledge in real time. The PCG is developed through independent assessments of your observability, cloud, and code structures, and it is consistently refined by a Reinforcement Learning system as you interact with Autoheal. Built on this foundation is a Multi-Agent Platform, which comprises specialized agents collaborating with human operators to effectively and safely tackle production issues. For AI agents designed for production engineering to succeed in real enterprise environments, overcoming three critical challenges is paramount. The first is the Context Gap: can the AI effectively understand and operate within the various contexts of my organization? The second is the Trust Gap: is it possible to rely on the AI to adhere strictly to my organization’s security standards? Moreover, addressing these challenges is crucial for achieving seamless integration and dependable performance in intricate operational settings, ultimately ensuring that both human and AI collaboration can thrive harmoniously.

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Integrations Supported

Amazon Web Services (AWS)
GitHub
GitLab
Google Cloud Platform
Grafana Cloud
Jira
Kubernetes
Microsoft Azure
OpenTelemetry
PagerDuty
Prometheus
Terraform

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Standard Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

OrbOps AI

Date Founded

2025

Company Location

India

Company Website

www.orbops.ai

Company Facts

Organization Name

Autoheal

Date Founded

2025

Company Location

United States

Company Website

autoheal.ai/

Categories and Features

Agentic DevOps

Not specified

Categories and Features

Agentic DevOps

Not specified

DevOps

Not specified

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