BayesLab
BayesLab is a deep analysis AI agent platform that helps users of all skill levels extract insights and value from their data by combining AI-driven data analytics, visualization, reasoning, and reporting in a single interface. It lets you upload or connect datasets and then uses large-language AI to interpret, explore, chart, and explain key trends and patterns so you can move quickly from raw numbers to meaningful conclusions without needing a full data team. BayesLab supports automated chart and report generation, statistical analysis, predictive modeling, and customizable templates for common workflows like risk scoring, forecasting, segmentation, or performance tracking, and it produces outputs such as exportable narratives, PDFs, dashboards, and data files that are boardroom-ready. BayesLab’s AI acts like a smart collaborator, letting you ask questions in plain language, drill deeper into results, refine analysis steps, and iterate interactively.
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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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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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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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