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Description
Nuphos serves as a DevOps environment tailored for AI, enabling engineering teams and AI agents to collaboratively manage production systems while maintaining control. These agents are designed to familiarize themselves with your infrastructure, troubleshoot problems, and seamlessly navigate platforms like AWS, GCP, Kubernetes, and Cloudflare, all while adhering to strict IAM permissions, human oversight, and comprehensive audit trails. Each session initiated by an agent can be confined to specific IAM roles and employs temporary, least-privilege credentials, ensuring that any proposed changes to the infrastructure undergo a prior approval process. Agents are capable of examining resources, accessing dashboards, analyzing logs, creating actionable plans, seeking necessary approvals, and performing safe actions, all the while accumulating knowledge about services, environments, workflows, runbooks, and the history of operations. Instead of toggling between different terminals, cloud interfaces, dashboards, and documentation, engineers and agents collaborate within a unified DevOps workspace for enhanced efficiency and coherence. This integrated approach fosters a streamlined workflow, allowing both teams and AI to innovate and respond to challenges more effectively.
Description
StarOps is a cutting-edge AI-driven workflow engine that takes the complexity out of deploying and managing cloud infrastructure by eliminating the need for manual Terraform scripting or Kubernetes management. It provides a seamless way to launch GenAI models, provision blob storage, configure virtual private clouds (VPCs), and establish observability, all automated by an intelligent system of microagents operating behind the scenes. This platform is specifically built for AI and data-heavy applications, helping teams handle the growing demands of modern cloud environments effortlessly. Application developers can rely on StarOps to provide infrastructure that “just works,” without the usual operational overhead. Machine learning engineers and data scientists can focus on delivering models without being slowed down by DevOps challenges. Platform engineers can grow their teams’ capabilities while minimizing the increase in operational complexity. StarOps bridges the gap between development and operations by automating infrastructure workflows intelligently. Its ability to simplify and scale cloud operations makes it essential for organizations adopting AI-driven technologies.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
Claude Code
Cloudflare
Discord
Google Cloud Platform
Grafana Cloud
Kubernetes
Lark
OpenAI Codex
Prometheus
Integrations
Amazon Web Services (AWS)
Claude Code
Cloudflare
Discord
Google Cloud Platform
Grafana Cloud
Kubernetes
Lark
OpenAI Codex
Prometheus
Pricing Details
$29 per month
Free Trial
Free Version
Pricing Details
$199/month
14 days free trial
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Nuphos
Country
United States
Website
nuphos.ai/
Vendor Details
Company Name
Ingenimax
Founded
2025
Country
United States
Website
ingenimax.ai/
Product Features
DevOps
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports
Product Features
DevOps
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports