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What is Nuphos?

Nuphos is a specialized DevOps environment designed specifically for AI, allowing engineering teams and AI agents to work together in managing production systems while ensuring proper oversight and control. These intelligent agents are built to understand your infrastructure, effectively troubleshoot issues, and navigate various platforms such as AWS, GCP, Kubernetes, and Cloudflare, all while complying with rigorous IAM permissions and maintaining detailed audit trails. Each agent session is restricted to particular IAM roles and utilizes temporary, least-privilege credentials, guaranteeing that any changes proposed to the infrastructure receive prior approval. The agents possess the capability to review resources, access dashboards, analyze logs, formulate actionable plans, request necessary approvals, and execute safe actions, simultaneously enriching their knowledge about services, environments, workflows, runbooks, and operational history. Rather than switching between numerous terminals, cloud interfaces, dashboards, and documentation, engineers and agents work together within a cohesive DevOps workspace to enhance both efficiency and clarity. This collaborative framework not only streamlines workflows but also empowers both teams and AI to innovate and tackle challenges more adeptly, ultimately leading to improved productivity and responsiveness. By fostering a shared environment, Nuphos encourages open communication and knowledge sharing between human engineers and AI agents, further enhancing operational effectiveness.

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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Media

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Integrations Supported

Amazon Web Services (AWS)
Claude Code
Cloudflare
Discord
Google Cloud Platform
Kubernetes
Lark
OpenAI Codex
Slack
iMessage

Integrations Supported

API Availability

API Availability

Pricing Information

$29 per month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Mac

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

Nuphos

Company Location

United States

Company Website

nuphos.ai/

Company Facts

Organization Name

Autoheal

Date Founded

2025

Company Location

United States

Company Website

autoheal.ai/

Categories and Features

Agentic DevOps

Not specified

DevOps

Not specified

Categories and Features

Agentic DevOps

Not specified

DevOps

Not specified

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