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.

Product Announcement 2026-09-20 3 min read By Niklas Rotter

Welcome to doushi AI: Lovable for Machine Learning

Q: What is Doushi AI?

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.

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

Direct Answer / TL;DR: doushi.ai is the AI for machine learning and tabular predictive models. Like Lovable and v0 revolutionized frontend web development through prompt-driven workflows, Doushi brings that same radical simplification to tabular data science. Upload a CSV, Excel, or Parquet file, describe what you want to predict in natural language, and receive a fully validated, production-ready AI model with an interactive browser simulator and hosted REST API in under 3 minutes.

Building machine learning models has historically been reserved for specialized data science teams with deep knowledge of statistical learning, pandas pipelines, feature engineering, and cloud deployment infrastructure.

For software engineers, product managers, and founders, this created high friction. You had a dataset—customer churn records, property transaction histories, or sales leads—and a clear business question, but bringing a predictive model to life required weeks of manual coding.

Today, we are thrilled to introduce doushi.ai.

Why Tabular Data Needs a Dedicated Platform

While the AI boom has focused heavily on Large Language Models (LLMs) and chatbots, the vast majority of enterprise and operational data is tabular:

Customer retention and churn signals
Real estate and property pricing
Credit scoring and default risk
Demand forecasting and inventory planning
Fraud and anomaly detection

LLMs are poor at continuous mathematical regressions and tabular pattern detection. Tree-based gradient boosting models (such as LightGBM, XGBoost, and CatBoost) remain the undisputed gold standard for tabular accuracy.

However, the tooling around tabular machine learning has remained stuck in 2018: complex notebooks, brittle virtual environments, and convoluted deployment steps.

Doushi changes that.

The Doushi Workflow: From Prompt to REST API

1. Natural Language Prompting

You don't need to configure loss functions or learning rates. Simply write:

"Predict whether a lead will convert based on company size, industry, and website page views."

2. Autonomous Ephemeral Sandbox

Our autonomous agent analyzes your columns, cleans missing values, prevents target leakage, encodes categorical labels, and pits leading algorithms against each other inside an isolated, secure Docker container hosted in Frankfurt am Main, Germany (EU).

3. Interactive Live Simulator

Before writing a single line of backend integration code, test the model in your browser using interactive sliders. Adjust numbers, change dropdown options, and see the prediction update in real time with plain-English feature drivers.

4. 1-Click Production REST API

Deploy your champion model with a single click. You receive a dedicated HTTPS endpoint with an average latency of 75 milliseconds, complete with API keys and copy-ready snippets for Python, Node.js, and cURL.

5. Zero Vendor Lock-in

We believe software freedom builds trust. At any time, you can export the full Python code, model pipeline, and trained model weights to run on your own servers.

Start Building Today

Doushi is free to start. Head over to app.doushi.ai and upload your first dataset in seconds.

Have feedback, questions, or enterprise security requirements? Reach out to us at support@doushi.ai or join our GitHub community.