AI-Powered Cost Forecasting | Thoras.ai
Powered Cost Forecasting
Thoras doesn’t just show you Kubernetes costs; it predicts where waste will happen next and eliminates it automatically.
Results You Can Expect
Up to 70% Reduction
in Kubernetes compute costs
Per-workload ROI Tracking
without additional FinOps tooling
Forecasted savings
so leadership can plan, and not just react
How It Works
Entirely Air-Gapped & Installs In 15 minutes
Data never leaves your cluster.
Instant Cost Visibility
Thoras identifies your compute waste by cluster, namespace, and individual workload. See exactly which services are overprovisioned and by how much.
Forecast Your Savings
Unlike cost monitoring tools that show you what you spent, Thoras shows you what you will spend in addition to how much you can save.
Bring Your Own LLM
Connect your existing LLM provider to get natural language explanations of cost trends, anomaly detection, and optimization recommendations through the Thoras lens. No LLM? No problem. We provide a lightweight model that doesn't connect externally or train on your data.
Why it Matters
The Cost Problem in Kubernetes
Most teams run at 50% utilization or less. Not because they’re careless, but because they’re careful. The fear of OOMs and throttling drives teams to over-provision “just in case”.
The Recommendation Trap
Right-sizing recommendations pile up faster than you can implement them. Even if you had time, implementing changes manually introduces risk. Most recommendations go stale before they’re applied.
The Thoras Approach
We don’t just monitor costs; we eliminate waste in real-time. Thoras predicts what each workload needs, applies changes automatically, and shows you the savings as they happen.
Trusted by Engineers That Can’t Afford Mistakes
Ready to Optimize Your Bursty Workloads?
See how Thoras.ai can reduce costs while improving performance for your variable demand applications.