Statistical outlier detection with configurable sensitivity. Auto-flags unusual patterns in your data stream.
Visual, node-based time-series forecasting. Connect data, build pipelines, and deploy predictions — all without code.
Revenue dropped 23% below forecast on Mar 12. Triggered Slack notification.
Our mission is to make time-series forecasting visual, intuitive, and accessible — powered by AI that handles the complexity so you can focus on the insight.
Visual forecasting pipeline
A node-based forecasting environment where you connect data sources, AI models, and output nodes into living pipelines. Think less about infrastructure, more about insights.
Open AppDrag and drop data sources, processing nodes, and outputs to build forecast pipelines visually. No code required.
Run multiple forecast models in parallel. Compare accuracy, ensemble the best performers, and pick the winner automatically.
Upload CSVs, connect APIs, or link databases. Forecast Studio auto-detects time columns, frequencies, and data types.
Drag forecast engines, cleaning nodes, and feature generators onto the canvas. Connect them visually to create your prediction workflow.
Run forecasts on schedule. Get alerts on anomalies. Export to dashboards, spreadsheets, or your existing BI stack.
CSV, API, database, and real-time streams. Auto-detect schemas and frequencies.
Prophet, XGBoost, ARIMA, and custom models. Ensemble and cross-validate automatically.
Statistical and ML-based outlier detection. Configurable sensitivity and alerting.
Slack, email, and webhook notifications when forecasts drift or anomalies appear.
Whether you’re a data team building production pipelines or an analyst exploring a what-if scenario — Forecast Studio adapts to your workflow.
Replace fragile Python scripts with visual, maintainable pipelines. Version, share, and deploy forecasts as a team.
Forecast demand, inventory, and capacity. Get alerts before problems happen, not after.
Explore scenarios visually. Compare models side by side. Ship insights without waiting for engineering.
Forecast Studio is a visual, node-based platform for building time-series forecasting pipelines. You connect data sources, processing steps, and forecast models on a drag-and-drop canvas — no coding required.
Forecast Studio supports Prophet, XGBoost, ARIMA, and ensemble methods out of the box. You can combine models, cross-validate automatically, and compare accuracy side by side.
No. Forecast Studio is designed for visual workflow building. Everything from data cleaning to model configuration happens through the node interface. Power users can extend with custom nodes.
Yes. Upload CSVs, connect to REST APIs, or link databases directly. Forecast Studio auto-detects time columns, frequencies, and data schemas.
Add an Alert node to your pipeline. Configure thresholds, anomaly sensitivity, or forecast drift limits. Notifications go to Slack, email, or webhooks automatically.
Join the teams already using Forecast Studio to ship production forecasts at the speed of thought.