March 17, 2025
March 11, 2025
March 17, 2025
March 11, 2025
Optimize compute, storage and data
Choose copilot or autopilot execution
Continuously improve with reinforcement learning
Cloud optimization has reached a critical inflection point. Traditional recommendation tools generate endless lists of suggestions that require manual review and approval, creating more work for already busy teams. In contrast, autonomous platforms like Sedai take immediate action, eliminating bottlenecks and capturing savings automatically without engineer involvement.
The comparison below illustrates this fundamental difference:
"Our team spends hours reviewing cloud optimization recommendations that just pile up in the backlog." Sound familiar?
Many organizations find themselves trapped in an endless cycle of reviewing cloud optimization suggestions, with limited bandwidth to implement them. Traditional recommendation tools promise optimization but often create more work than they solve.
The reality? Most "optimization tools" are just recommendation engines that create more work for your team. They identify potential savings but leave the implementation burden on your already stretched engineering resources.
Sedai's Autonomous Platform takes a fundamentally different approach to cloud optimization.
Autonomous platforms with ML-driven guardrails eliminate optimization backlogs by taking safe, precise action immediately. The system handles everything from analysis to execution, saving both engineering time and cloud costs with proven savings of 30%+.
Could your team be focusing on innovation rather than reviewing optimization recommendations?
Transform your cloud optimization strategy from a burden into a business advantage with autonomous optimization. Free your engineering teams to focus on what matters most—building and improving your products.
Visit Sedai.io to learn more about how autonomous cloud optimization can work for your organization.
March 11, 2025
March 17, 2025
Cloud optimization has reached a critical inflection point. Traditional recommendation tools generate endless lists of suggestions that require manual review and approval, creating more work for already busy teams. In contrast, autonomous platforms like Sedai take immediate action, eliminating bottlenecks and capturing savings automatically without engineer involvement.
The comparison below illustrates this fundamental difference:
"Our team spends hours reviewing cloud optimization recommendations that just pile up in the backlog." Sound familiar?
Many organizations find themselves trapped in an endless cycle of reviewing cloud optimization suggestions, with limited bandwidth to implement them. Traditional recommendation tools promise optimization but often create more work than they solve.
The reality? Most "optimization tools" are just recommendation engines that create more work for your team. They identify potential savings but leave the implementation burden on your already stretched engineering resources.
Sedai's Autonomous Platform takes a fundamentally different approach to cloud optimization.
Autonomous platforms with ML-driven guardrails eliminate optimization backlogs by taking safe, precise action immediately. The system handles everything from analysis to execution, saving both engineering time and cloud costs with proven savings of 30%+.
Could your team be focusing on innovation rather than reviewing optimization recommendations?
Transform your cloud optimization strategy from a burden into a business advantage with autonomous optimization. Free your engineering teams to focus on what matters most—building and improving your products.
Visit Sedai.io to learn more about how autonomous cloud optimization can work for your organization.