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Cloudchipr

AI-powered cloud optimization platform that automates cost management, provides real-time observability, and offers actionable insights across multi-cloud...

Introduction

Cloudchipr is a comprehensive cloud optimization platform that leverages AI agents to help organizations manage and reduce their cloud costs across AWS, GCP, Azure, and Kubernetes environments. The platform provides real-time observability, automated workflows, and intelligent recommendations to optimize cloud spending while maintaining performance.

Key Features:

  • AI-Powered Intelligence: AI agents that explain cost anomalies, answer questions about cloud usage, generate reports, and provide Kubernetes optimization recommendations
  • Multi-Cloud Visibility: Unified dashboards and billing explorers that consolidate costs from all cloud providers into a single view
  • Real-Time Observability: Live resource tracking that links spend spikes to CPU, network, and other resource metrics
  • Automated Optimization: No-code automation workflows that perform actions or send notifications based on specific events
  • Cost Allocation: Dynamic dimensions and virtual tags for accurate cost attribution across teams and projects
  • Savings Opportunities: Centralized dashboard showing all cost-saving recommendations with collaboration tools
  • Commitments Management: Tools for tracking and optimizing Reserved Instances and Savings Plans utilization

Target Users:

  • FinOps Teams: For cost control, optimization, and operational efficiency
  • Engineering Teams: For real-time insights and automated actions across cloud resources
  • Leadership: For strategic visibility and consolidated cost management across all clouds

Unique Selling Points:

  • AI co-pilot that actively investigates and acts on cloud cost issues
  • Enterprise-grade security with SOC 2 compliance and AWS qualification
  • Integration with organizational tools like Slack, Jira, and communication platforms
  • Proven results with customers reporting 30-60% cost reductions and significant engineering time savings

Analytics