> ## Documentation Index > Fetch the complete documentation index at: https://docs.sulie.co/llms.txt > Use this file to discover all available pages before exploring further. # Overview Sulie is a fully managed platform for time series forecasting, powered by the Mimosa foundation model—a transformer-based model specifically designed to outperform traditional supervised approaches in time series forecasting. ## Key Features Sulie provides a robust, production-ready solution for data teams, simplifying time series forecasting at scale. Our foundation model offers accurate, out-of-the-box predictions with zero-shot inference, eliminating the need for pre-existing training data. Whether you’re experimenting in a notebook or scaling to production, Sulie abstracts away MLOps complexity, allowing you to focus on actionable insights from your forecasts. * **Zero-Shot Forecasting**: Obtain precise forecasts instantly with our foundation model, without requiring training or preprocessing of historical data. * **Auto Fine-Tuning**: Enhance model performance with a single API call. We manage the entire training pipeline, providing transparency into model selection and metrics. * **Covariates Support** (Enterprise): Conduct multivariate forecasting by incorporating dynamic and static covariates with no feature engineering needed. * **Managed Infrastructure**: Focus on forecasting as we manage all aspects of deployment, scaling, and maintenance seamlessly. * **Centralized Datasets**: Push time series data continuously through our Python SDK, creating a centralized, versioned repository accessible across your organization. ### Getting Started 1. Generate an API key from our dashboard. 2. Integrate Sulie’s Python SDK into your workflow. 3. Follow our SDK Documentation for a complete guide on implementation. With Sulie, data teams can unlock value from their forecasts faster and more efficiently, with enterprise-grade capabilities ready to meet complex forecasting needs. ## Setting up Step-by-step guide to get you from zero to forecasting in minutes! Guide for installing the Python SDK, essential for forecasting and model tuning. ## Advanced topics Details on Mimosa, our foundation model tailored for time-series forecasting. Walkthrough of forecasting examples and parameter options.