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Nuphos

active SaaS (Web App) + Desktop App

The AI-Native DevOps Workspace

Nuphos is an AI-native DevOps workspace that connects engineering teams and AI agents to cloud infrastructure, Kubernetes, incidents, logs, permissions, and operational workflows with scoped access, approvals, memory, and audit trails.

What is Nuphos?

Nuphos is an AI-native DevOps workspace designed to help engineering teams understand, troubleshoot, manage, and operate production infrastructure with the assistance of AI agents. Instead of giving an AI agent unrestricted access to a terminal or cloud account, Nuphos provides a controlled operational environment where agents receive infrastructure context, scoped permissions, persistent operational memory, human approval boundaries, and attributable audit trails. The platform connects to existing infrastructure rather than requiring teams to migrate their workloads into a new cloud platform. Current integrations include AWS, GCP, Kubernetes, Cloudflare, and Zeabur, allowing teams to bring existing production environments into the Nuphos workspace. Nuphos combines a visual infrastructure workspace with an AI agent. Engineers can browse infrastructure manually, while the agent can use the same live context to investigate problems, gather evidence, generate plans, and perform approved actions. Its Kubernetes interface provides visual access to clusters, workloads, networking, access control, configuration, storage, and custom resources. The platform is designed around an investigate → plan → approve → act workflow. For consequential infrastructure changes, an agent can prepare a proposed action, show the relevant evidence and change, and wait for human approval before applying the protected operation. Nuphos provides fine-grained IAM control for agent sessions. AWS IAM roles and other scoped permissions can be associated with individual sessions so that an agent receives only the access required for a particular task. The workspace also maintains operational memory, retaining information about services, environments, deployment flows, incidents, and other infrastructure-specific knowledge. The platform covers several major DevOps use cases, including incident response, cloud migration, infrastructure troubleshooting, cost optimization, compliance remediation, and customer-cloud deployment. For compliance workflows, Nuphos connects with Vanta and Secureframe so agents can help turn SOC 2 and ISO 27001 findings into remediation actions. Nuphos is positioned as more than a conventional monitoring dashboard, adding an operational agent that can reason over infrastructure state, build plans, and—with appropriate authorization—take action.
Software Category Cloud & Infrastructure
Pricing Model Freemium + Usage-based
Product Type SaaS (Web App) + Desktop App
Starting Price USD $0.00

Nuphos Features

Key Feature

Provides controlled operational environment for AI agents with scoped permissions and human approval boundaries instead of unrestricted access

Key Feature

Connects to existing infrastructure without requiring workload migration, supporting AWS, GCP, Kubernetes, Cloudflare, and Zeabur

Key Feature

Offers persistent operational memory, live infrastructure context, and attributable audit trails for compliance and troubleshooting

Key Feature

Combines visual workspace with AI agent capabilities for both manual browsing and automated investigation

Key Feature

Freemium pricing model with $0 starting cost enables team evaluation without upfront commitment

Nuphos Pricing

Billing Model: Freemium + Usage-based
USD $0.00 / starting

Check the official vendor site for volume discounts, regional tiers, and enterprise terms.

View Official Pricing →

Nuphos Pros and Cons

Key Strengths (Pros)

  • Provides controlled operational environment for AI agents with scoped permissions and human approval boundaries instead of unrestricted access
  • Connects to existing infrastructure without requiring workload migration, supporting AWS, GCP, Kubernetes, Cloudflare, and Zeabur
  • Offers persistent operational memory, live infrastructure context, and attributable audit trails for compliance and troubleshooting
  • Combines visual workspace with AI agent capabilities for both manual browsing and automated investigation
  • Freemium pricing model with $0 starting cost enables team evaluation without upfront commitment

Considerations & Limitations (Cons)

  • Limited to 5 specific integrations (AWS, GCP, Kubernetes, Cloudflare, Zeabur) - teams using other cloud providers or tools may face gaps
  • New product with zero review count and no average rating available, indicating no established user validation
  • No detailed pricing information provided for usage-based tiers beyond the free starting point
  • AI-native approach represents a newer operational paradigm that may require team cultural shift