March 17, 2025
March 12, 2025
March 17, 2025
March 12, 2025
Optimize compute, storage and data
Choose copilot or autopilot execution
Continuously improve with reinforcement learning
Large dramatic changes to cloud infrastructure often lead to performance problems �At Sedai, we've discovered a better way through AI-driven micro optimizations that deliver remarkable results without disrupting your systems.
Look at this real example from one of our customers - 27 autonomous optimizations on a single ECS service over 9 months, saving $1,777 annually. Each small change minimizes risk while our AI learns from each action.
The optimization history shows a consistent pattern of cost reductions across multiple dates, with varying impacts:
This same approach happens continuously across 1,500+ services in this customer's environment, with our AI making countless small, safe adjustments throughout their cloud infrastructure.
Our platform doesn't make a single dramatic change - instead, it implements dozens of carefully calculated micro-optimizations that compound over time.
The impact? Over $500K in annual savings for this customer alone, achieved without disruption to performance or availability.
This is the power of reinforcement learning applied to cloud optimization. Each small step compounds into significant savings while maintaining service reliability.
When your engineering team isn't fighting fires from overly aggressive changes, they can focus on innovation instead of damage control. Our approach means:
Is your organization still making risky, large-scale optimizations? Let's talk about how Sedai's micro optimization approach can transform your cloud operations while delivering substantial cost savings.
March 12, 2025
March 17, 2025
Large dramatic changes to cloud infrastructure often lead to performance problems �At Sedai, we've discovered a better way through AI-driven micro optimizations that deliver remarkable results without disrupting your systems.
Look at this real example from one of our customers - 27 autonomous optimizations on a single ECS service over 9 months, saving $1,777 annually. Each small change minimizes risk while our AI learns from each action.
The optimization history shows a consistent pattern of cost reductions across multiple dates, with varying impacts:
This same approach happens continuously across 1,500+ services in this customer's environment, with our AI making countless small, safe adjustments throughout their cloud infrastructure.
Our platform doesn't make a single dramatic change - instead, it implements dozens of carefully calculated micro-optimizations that compound over time.
The impact? Over $500K in annual savings for this customer alone, achieved without disruption to performance or availability.
This is the power of reinforcement learning applied to cloud optimization. Each small step compounds into significant savings while maintaining service reliability.
When your engineering team isn't fighting fires from overly aggressive changes, they can focus on innovation instead of damage control. Our approach means:
Is your organization still making risky, large-scale optimizations? Let's talk about how Sedai's micro optimization approach can transform your cloud operations while delivering substantial cost savings.