CloudSwitch AI unifies AWS, Azure, and GCP cost data into one view, explains spend using natural language, and highlights optimisation opportunities — without automated control or hidden actions.
Get a single, normalized view across all your cloud providers for complete clarity.
Normalised AWS, Azure, and GCP billing data in one view.
Stable, industry-standard dashboards for historical trends.
Clear separation of CPU, GPU, and Kubernetes workloads.
Leverage AI to translate complex billing data into actionable financial insights.
Explainable answers to your toughest cost and usage questions.
Transparent 7-day and 14-day outlooks based on real-time trends.
Early visibility into abnormal spend patterns before they escalate.
Our streamlined onboarding gets you from secure login to actionable insights with zero friction.
Encrypted sign-in using Firebase before any cloud access.
Read-only cloud roles populate a unified dashboard.
Graphical KPIs for daily and historical cost trends.
Ask questions and receive explainable answers from real data.
CloudSwitch gives you the power to act — only when you decide to.
All cloud connections begin in observability mode. Nothing can be started, stopped, or scheduled unless you explicitly enable it.
When enabled, CloudSwitch allows you to start or stop resources with full visibility into cost impact and dependencies before execution.
Optional timers let you schedule start and stop actions for non-production or temporary workloads — fully user-defined.
CloudSwitch never acts autonomously. Every action is initiated, reviewed, and confirmed by you.
Our architecture is built on the principle of least privilege, ensuring your infrastructure is always safe.
Observability without modifying infrastructure.
No changes without explicit confirmation.
Guidance and insight — not automation.
Using native cloud identity mechanisms with limited, read-only permissions.
No. All actions are advisory and require your explicit confirmation.
No. Your data is isolated and processed solely to provide you with insights.
A full mobile demonstration using live backend data is on the way.