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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StackSpend
StackSpend is a cloud and AI cost management platform that gives engineering, finance, and FinOps teams one daily view of the modern AI stack. It connects through read-only credentials to providers including AWS, Google Cloud, Azure, Snowflake, Vercel, ClickHouse Cloud, Elastic Cloud, OpenAI, Anthropic, Cursor, GitHub, Hugging Face, Grok, and Twilio, then automatically loads historical billing data and normalizes spend across services. Dashboards and explorers break costs down by provider, service, model, project, user, team, feature, and customer, helping teams understand AI COGS, cost per request, and product-level margins. Budgets and pace-to-forecast show where monthly spending is headed, while same-day anomaly detection catches unusual increases caused by traffic, prompt bugs, model changes, deployments, or individual users. Alerts and daily green, amber, or red spend signals can be delivered through Slack, Microsoft Teams, email, or webhooks.
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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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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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