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.

Developer Documentation & API Guides

doushi.ai Documentation

Explore quickstarts, API specifications, and architecture deep dives to turn raw tabular datasets into production AI models with hosted REST APIs.

Quickstart: 0 to Production Model in 180s

Step-by-step walkthrough: uploading CSV data, prompting the agent, and deploying a REST API.

Install Official Python CLI

pip install doushi-cli

View CLI Guide →

Guides & Architecture References

Getting Started3 min read

Quickstart Guide: 0 to Production Model

Learn how to upload a dataset, prompt the autonomous agent, evaluate predictions in the live simulator, and deploy a REST API in under 3 minutes.

Read documentation

API & Developer Tools3 min read

REST API Reference

Complete specification for doushi.ai REST API endpoints, authentication, real-time prediction, batch scoring, and code snippets in Python, TypeScript, and cURL.

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API & Developer Tools3 min read

Official Python CLI Guide (doushi-cli)

Complete CLI reference for doushi-cli on PyPI, installing via pip/pipx, headless training, running batch predictions, and automating machine learning workflows.

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Data & Pipelines2 min read

Supported Data Formats & Schemas

Specifications for tabular datasets supported by doushi.ai, including CSV, Excel, Parquet, column types, size limits, and encoding guidelines.

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Data & Pipelines2 min read

Automated Data Cleaning & Feature Engineering

Detailed explanation of how doushi.ai automatically handles missing values, detects outliers, prevents target leakage, and creates high-signal interaction features.

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Platform & Security2 min read

Docker Sandbox Security & Architecture

Deep dive into doushi.ai container isolation architecture, Linux cgroups, ephemeral memory limits, zero outbound network access, and German ISO 27001 data center operations.

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Platform & Security3 min read

Exporting Python Code & Standalone Models

Learn how to export transparent, standalone Python scripts, Scikit-Learn/LightGBM pipelines, and FastAPI server code with zero vendor lock-in.

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EU Cloud Sovereignty

Hosted exclusively in Frankfurt am Main with ISO 27001 compliance.

Security Details →

Read the Research Blog

Tabular AutoML benchmarks and algorithmic deep dives.

Visit Blog →

Developer Support

Have a question or custom dataset schema? Contact engineering.

support@doushi.ai →