Sedai
sedai.ioSedai applies core principles of autonomous systems to cloud environments by ingesting large volumes of data streams into a central decision engine grounded in probability theory and applied machine learning. This engine underpins a self-learning, self-correcting model that governs cloud platforms and emphasizes transparency through explainable decisions.
The S.Watch product interfaces with monitoring systems such as Prometheus, Datadog, and CloudWatch to observe the four golden signals: latency, traffic, errors, and saturation. It filters out extraneous information to surface insights and recommendations aimed at maintaining key KPIs, including MTTD, MTTF, MTBF, and MTTR, within desired ranges. S.Run converts collected data into an explainable, adjustable knowledge base that drives Sedai’s machine learning models and decision engine, selecting efficient and corrective workflows for detected drifts as well as safe remediation strategies. Through a closed-loop learning approach, S.Run supports self-configuration to sustain high availability, enabling platforms managed by Sedai to evolve toward a self-optimized operating state.
LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.
Normalized 0–100 · last 8 weeks
Get LLM mention data of any company via DataForSEO API
Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.
How to get LLM mention data →// Fetch Sedai mention score POST /v3/content_analysis/summary { "keyword": "Sedai", "type": "llm_mentions", "date_from": "2025-01-01" }
