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.

Security & Privacy 2026-10-15 4 min read By Niklas Rotter

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.

Direct Answer / TL;DR: For European enterprises, training machine learning models on US-based cloud infrastructure introduces legal risks under the EU General Data Protection Regulation (GDPR) and the EU AI Act. doushi.ai guarantees 100% German data residency in Frankfurt am Main (eu-central-1), ephemeral Docker sandbox execution, AES-256 encryption, and a strict contract guarantee that your proprietary training data is never shared, retained beyond execution, or used to train third-party foundation models.

As generative AI and automated predictive modeling enter mainstream corporate workflows, security officers and legal counsels face an urgent compliance dilemma: Where does our customer data travel when training machine learning models?

When uploading proprietary transaction histories, customer churn records, or healthcare billing files into typical AI platforms, datasets often traverse US cloud regions, creating cross-border transfer liabilities under GDPR Article 44 and FISA 702.

Here is how Doushi architected an enterprise-ready, European-sovereign machine learning platform.

The Four Pillars of Doushi's EU Privacy Architecture

1. Dedicated Frankfurt am Main Data Center (eu-central-1)

All compute instances, training sandboxes, database clusters, and object storage systems are situated within ISO 27001, SOC 2 Type II certified tier-3 data centers in Frankfurt am Main, Germany.

Zero Cross-Border Transfers: Data never leaves the Federal Republic of Germany.
BDSG & GDPR Compliance: Full alignment with the German Federal Data Protection Act (Bundesdatenschutzgesetz) and the European Union General Data Protection Regulation.
Signed Data Processing Addendum (DPA): Standard contractual clauses and enterprise DPAs available for all paid plans.

2. Ephemeral Docker Sandboxing

When a model training job begins, Doushi spins up an isolated, unprivileged container:

[Incoming Dataset] ➔ [TLS 1.3 In-Flight] ➔ [RAM-Only Decryption]
                                                  │
                                    ┌─────────────▼─────────────┐
                                    │ Ephemeral Docker Sandbox  │
                                    │  - Memory Cap: 4GB/Job    │
                                    │  - Read-Only System Root  │
                                    │  - No Outbound Internet   │
                                    │  - Non-Root User (UID 1001)│
                                    └─────────────┬─────────────┘
                                                  │
[Serialized Model Weights] ◄──────────────────────┘
[Sandbox Shredded & Zero-Filled]

Network Isolation: Training containers have zero external internet access. Even if training code attempted an outbound HTTP request, network namespaces block all egress.
Instant Destruction: Once training completes and model artifacts are validated, the entire container volume is unmounted and permanently deleted.

3. Complete Ownership: No LLM Training on Your Data

A common concern with modern SaaS AI tools is whether uploaded files will be scraped to fine-tune shared foundation models (such as GPT-4 or Claude).

At Doushi:

Your data trains only your model.
Your data is never combined across tenants.
You maintain 100% intellectual property ownership of the resulting model weights, preprocessors, and feature maps.

4. Zero Vendor Lock-In & Code Export

Sovereignty also requires independence from vendor capture. If an enterprise decides to migrate models into an on-premises air-gapped infrastructure, Doushi enables a 1-click Python export:

Standard Scikit-Learn / LightGBM pipeline scripts
Serialized ONNX / Joblib artifacts
Standalone FastAPI server script (main.py)
Ready-to-build Dockerfile

Technical Security Controls Overview

Layer	Implementation	Standard
In-Transit Encryption	TLS 1.3 with Perfect Forward Secrecy	FIPS 140-2
At-Rest Encryption	AES-256 with KMS per-tenant customer keys	ISO 27001
Container Sandboxing	Linux Namespaces, cgroups v2, seccomp filters	CIS Docker Benchmark
Authentication	Scoped API Keys with SHA-256 hash storage	OWASP ASVS Level 3
Location	Frankfurt am Main, Hesse, Germany	EU GDPR / DSGVO

How to Obtain an Enterprise Data Processing Agreement (DPA)

If your corporate compliance guidelines require a formal signed DPA before uploading customer or employee records, contact our legal team at support@doushi.ai or visit our Privacy & Security Page.

Summary

Data privacy and cutting-edge machine learning do not have to be at odds. By anchoring infrastructure in Frankfurt and enforcing strict container isolation, Doushi delivers the speed of modern AI with the rigorous compliance required by European institutions.