VictoriaMetrics Anomaly Detection
VictoriaMetrics Anomaly Detection is a service that continuously scans time series stored in VictoriaMetrics and detects unexpected changes within data patterns in real time. It does so by utilizing user-configurable machine learning models. In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, a part of our Enterprise offering, is a pivotal tool for achieving advanced observability. It empowers SREs and DevOps teams by automating the intricate task of identifying abnormal behavior in time-series data. It goes beyond traditional threshold-based alerting, utilizing machine learning techniques to detect anomalies and minimize false positives, thus reducing alert fatigue. Providing simplified alerting mechanisms atop unified anomaly scores enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency.
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Datastory
Datastory is an AI analytics and reporting platform that connects tools like GA4, Google Ads, Shopify, Search Console, Facebook Ads, Instagram, and TikTok, then uses GPT‑4 to turn that data into clear, daily insights. It automatically analyzes performance, detects trends and anomalies, and sends plain‑language summaries and alerts into WhatsApp, Slack, email, and web so teams can see what changed, why it changed, and what to do next without building dashboards or manual reports.
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Pulse
Pulse is an always-on AI business intelligence analyst that turns messy, scattered data into clear, interactive dashboards and insights simply by chatting in plain language. It connects seamlessly to CSV, Excel, Google Sheets, Google Analytics, Shopify, API endpoints, and, soon, databases, then automatically ingests, cleans, structures, and analyzes your data without manual prep. In seconds, you can build custom dashboards with charts, tables, and KPIs; ask follow-up questions about trends, anomalies, and performance; and set filters to drill into specifics. Visuals refresh in real time as underlying data changes, while built-in anomaly detection flags unexpected shifts, and automated insights help you stay ahead of evolving metrics. All of this lives in a single, queryable workspace, no more juggling multiple tools or cleaning spreadsheets, backed by enterprise-grade encryption, granular access controls, and compliance with GDPR and CCPA.
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Concentio
Predictive and prescriptive analysis of data received from various IoT data sources, including sensor, device, equipment or network enabling the users to take actions in real time on probable anomalies detected. Concentio® IoT Doctor can ingest data from numerous IoT data sources and alert the user of bad incoming data so that the inherent problem is fixed the data is not further used for descriptive, predictive or prescriptive analytics. Concentio® Production Line Fault Prediction performs the AI-based predictive analysis of the production line components using the IoT Data, videos, images, etc. Concentio® Optimal Asset Management analyzes the data coming in from the network of assets that provide utility services enabling the user to ensure timely maintenance of the network. Reduced capital expenditures by driving asset replacement decisions.
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