Welcome to TimechoAI Time Series Model Service
Built on the Timer foundation model from Tsinghua University — complete complex time-series forecasting with a simple API call and turn data into decisions.
Key Capabilities
High-Accuracy Forecasting
20%+ accuracy gains over traditional methods, with leading results on benchmarks such as GIFT-Eval.
Millisecond Latency
Average inference time < 100ms — built for high concurrency and real-time forecasting.
Python SDK
Official Python SDK — integrate in under 5 minutes and reduce development overhead.
REST API
Standard RESTful interface compatible with any tech stack — drop into existing data pipelines in seconds.
Typical Use Cases
⚡ Grid Load Forecasting📦 Sales Forecasting📊 Traffic Analysis🔋 Battery Health🌡️ Temperature Forecasting💧 Water Demand Forecasting
Get Started
1
Sign in / Sign up
Register and log in to the console
2
Setup
Get an API key and run your first forecast in 5 minutes
3
New Session
Try interactive forecasting in the console
4
Integrate
Choose Python SDK or REST API for your stack
Questions or suggestions? Feel free to contact us.