Thoras.ai

Kubernetes scaling is broken. HPA reacts too late, forcing teams to overprovision just to avoid slow scale-ups and service degradation. Meanwhile, observability tools ingest massive amounts of redundant data, driving up costs without improving reliability. You’re either wasting money or risking downtime; there’s no middle ground. Thoras.ai fixes this. Thoras is your AI for Kubernetes. It predicts workload demand before it happens, so your infrastructure scales exactly when needed with no excess, and no guesswork. Instead of reacting to spikes after they occur, Thoras analyzes historical patterns, real-time telemetry, and seasonality trends to forecast demand with precision. The result? Higher utilization, fewer wasted resources, and lower cloud bills, with zero sacrifice to performance. At the same time, Thoras tackles observability bloat. Monitoring stacks collect thousands of low-value metrics, logs, and traces that provide little diagnostic value but significantly increase ingestion and storage costs. Thoras automates the identification and removal of redundant data, cutting observability costs while keeping the critical insights you need. Thoras delivers predictive scaling, AI-driven observability cost reduction, and Kubernetes-native security without requiring API calls or sending data outside your cluster. It eliminates overprovisioning, stops wasted compute, and ensures reliability without excess. Backed by top investors like Wellington Ventures, Sinewave Ventures, and Focal VC, Thoras is transforming how engineering teams scale Kubernetes. If you’re ready to stop overpaying for idle compute and useless observability data, let’s talk.