Doushi is like Lovable, but for Machine Learning. Instead of writing hundreds of lines of code or setting up servers, you simply describe what you want to predict in natural language and upload your dataset (CSV, Excel, Parquet). Doushi cleans your data, finds the best AI model, and gives you an instant live API.

Do I need data science or machine learning experience?

Not at all. Doushi is designed for software engineers, product managers, and founders as well as data professionals. You can chat with the AI in plain English to ask questions about your model, understand why predictions are made, or test live samples directly in conversation.

How do I test my model before using it in production?

Every model comes with an interactive live simulator. You can drag sliders and adjust sample inputs right in your browser to see how predictions change in real time, along with plain-English explanations of why.

How does the hosted REST API work?

When you are satisfied with your model, deploy it with one click. You get a secure HTTPS endpoint and an API key to integrate into your application immediately.

Is my data safe and private?

Yes, 100%. All servers and storage infrastructure are hosted in Germany (Frankfurt, EU) in full compliance with strict European data protection standards (GDPR / DSGVO). Your datasets and model weights are encrypted in transit and at rest in isolated sandbox environments, used exclusively to train your specific models, and never shared, sold, or used to train public AI models. You retain full intellectual property ownership of all your data and models.

Engineering, Research & Tutorials

doushi.ai Blog & Knowledge Hub

Practical guides, tabular AI benchmarks, German cloud security deep dives, and tutorials on turning prompts and datasets into production REST APIs.

Explore Documentation → Python CLI Guide (PyPI)

Featured Deep Dive

Tutorials 2026-10-18 5 min read

How to Turn Any CSV into a Production AI Model in 3 Minutes

Step-by-step guide to generating tabular AI models from raw CSV data using natural language prompts, automated feature engineering, and instant REST APIs.

By Niklas RotterRead Complete Guide

Natural Language ➔ Production Model

Clean missing data, run LightGBM/XGBoost tournaments, and deploy a 14ms REST API in 3 minutes.

All Articles & Research Notes

Security & Privacy 2026-10-15 4 min read

EU Data Sovereignty & GDPR Compliance: Why Enterprise ML Belongs in Frankfurt

Understanding data residency, GDPR compliance, and Docker sandbox isolation when deploying machine learning models in European enterprise environments.

By Niklas RotterRead Article

AI Engineering 2026-10-12 3 min read

Explainable AI (XAI): Why Real-Time Live Simulators Beat Static Model Cards

How interactive browser simulators and SHAP feature drivers enable non-technical stakeholders to build trust and audit AI predictions before production deployment.

By Niklas RotterRead Article

Developer Tools 2026-10-02 3 min read

Automating Machine Learning Pipelines with doushi-cli in CI/CD

How to use the official doushi-cli Python package to train, evaluate, and update production machine learning models headless from GitHub Actions.

By Niklas RotterRead Article

Product Announcement 2026-09-20 3 min read

Welcome to doushi AI: Lovable for Machine Learning

Announcing doushi.ai, the prompt-driven platform that turns raw tabular datasets into production AI models and hosted REST APIs in minutes.

By Niklas RotterRead Article

Ready to build predictive models in minutes?

Upload your CSV, prompt the agent, test live with interactive sliders, and deploy an instant REST API.

Try Doushi Free View Developer Docs