Cloud Repatriation Analyzer
Cloud Repatriation Analyzer (CRA) evaluates public cloud workloads across AWS, GCP, Azure, and DigitalOcean to calculate the financial and technical feasibility of migrating to bare-metal hosting.
Core Functionality:
- Multi-Cloud Asset Ingestion: Connects via read-only APIs to map resources across compute, storage, databases, and networking.
- Automated Waste Identification: Scans 30-day usage metrics to detect ghost storage, idle instances, zombie load balancers, and egress leaks.
- Target Topology Blueprinting: Maps cloud workloads to right-sized bare-metal nodes (e.g., Hetzner, OVH), modeling side-by-side Hybrid and Full Migration plans.
- TCO & Payback Analytics: Calculates monthly OpEx savings, one-time setup costs, break-even timelines, and 1-, 3-, and 5-year Total Cost of Ownership projections.
- Executive PDF Export: Produces exportable migration blueprints detailing resource-level actions, server benchmarks, and managed service dependencies.
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Cloptima
Cloptima is an AI and cloud FinOps platform that brings LLM spend governance, multicloud cost intelligence, Kubernetes optimization, query analysis, and engineering cost controls into one operating model. Its AI gateway lets teams use their own OpenAI, Anthropic, Gemini, Vertex AI, and Amazon Bedrock credentials behind encrypted controls, then apply virtual keys, model policies, token limits, budgets, guardrails, and attribution before calls reach providers. Spend analytics break down usage by provider, model, team, application, environment, user, agent session, tool, workflow, and dimensions, while agent controls track retries, loops, tool calls, and runaway-cost risk. Exact and semantic response caching can reduce repeated usage, and intelligent routing can shift eligible traffic to cheaper or faster models with canary rollout and rollback if quality, latency, or errors regress.
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Sedai
Sedai is an autonomous cloud management platform powered by AI/ML delivering continuous optimization for cloud operations teams to maximize cloud cost savings, performance and availability at scale. Sedai enables teams to shift from static rules and threshold-based automation to modern ML-based autonomous operations. Using Sedai, organizations can reduce cloud cost by up to 50%, improve performance by up to 75%, reduce failed customer interactions (FCIs) by 75% and multiply SRE productivity by up to 6X for their modern applications. Sedai can perform work equivalent to a team of cloud engineers working behind the scenes to optimize resources and remediate issues, so organizations can focus on innovation.
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CAST AI
CAST AI is an automated Kubernetes cost monitoring, optimization and security platform for your EKS, AKS and GKE clusters. The company’s platform goes beyond monitoring clusters and making recommendations; it utilizes advanced machine learning algorithms to analyze and automatically optimize clusters, saving customers 50% or more on their cloud spend, and improving performance and reliability to boost DevOps and engineering productivity.
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