Sedai is an autonomous cloud management platform designed for modern infrastructures, using AI agents to continuously optimize cloud environments in terms of cost, performance, and real-time availability.
Designed to combat cloud waste and performance bottlenecks, Sedai continuously evaluates telemetry across serverless, Kubernetes, and containerized architectures. Unlike traditional cloud monitoring tools that merely generate alerts or dashboards for human interpretation, Sedai acts as an autonomous Site Reliability Engineer (SRE) — analyzing behaviors, validating system health, and executing automated, secure fixes before issues affect production.
For Synclaire, Sedai represents the infrastructure reliability and optimization layer that has become essential given the scale of modern cloud deployments. As organizations deploy complex and dynamic architectures, configuration changes occur faster than manual reviews can manage. Sedai addresses this challenge by deploying autonomous AI that preempts performance degradation and budget overruns, ensuring infrastructure operates optimally without constant manual intervention.
In Synclaire’s overall approach, Sedai integrates directly with our vision for AI governance, Zero Trust architecture, and secure AI operationalization. Where identity and access management secures the user and endpoint security protects the device, Sedai governs the cloud infrastructure itself. Rather than replacing an organization’s existing observability stack or APM tools, Sedai operates autonomously alongside them. Thus, during a sudden surge in cloud resource utilization or when a performance anomaly threatens a protected environment, continuous optimization is applied, regardless of what static alert thresholds might have dictated.
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