Built-in ML forecasting.
No-code predictive analytics with built-in ML models. Time-series forecasting, anomaly detection, and what-if analysis.
Auto
ML
None needed
Code
10+
Models
State-of-art
Accuracy
Future, predicted.
No-code ML forecasting. What-if analysis.
AutoML
Automatic model selection and hyperparameter tuning.
No code
Point-and-click forecasting. No ML expertise.
10+ algorithms
ARIMA, Prophet, DeepAR, N-BEATS, and more.
Anomaly detection
Detect anomalies in time-series data.
What-if analysis
Simulate scenarios with forecast adjustments.
Auto-refresh
Models automatically retrain on new data.
Getting started
Launch your first instance in three steps. CLI, console, or API — your choice.
ur data predict create revenue-fc \
--source=postgres:sales \
--target=revenue --date=order_dateForecasting patterns.
Demand and revenue forecasting.
Suggested configuration
AutoML · 10+ models · Auto-refresh
Estimate your costs
Create detailed configurations to see exactly how much your architecture will cost. Pay for what you use, down to the second.
Configuration 1
Predictive Engine
Usage Volume
Infrastructure
Options
Cost details
No-code ML. Auto-feature engineering.
Works seamlessly with
Frequently asked questions
Future, predicted.
No-code ML forecasting. What-if analysis.