v3.2 — AutoML now available

Machine Learning
without the complexity

End-to-end ML platform for teams. From exploratory analysis to production models — visual, fast, and deployed on your infrastructure.

Start free trial View demo
Quantum
$ docker pull ghcr.io/quantum-ml/quantum-ui
$ docker run -p 8000:8000 quantum-ui
✓ Quantum UI running at http://localhost:8000
$
Platform
The complete ML workspace

A visual interface built for teams. Every tool you need to go from raw data to production models.

Exploratory Analysis

Correlations, distributions, outliers, missing values — automated profiling with interactive visual reports.

Missing
Outliers
Corr
Dist
Profile
Smart Preprocessing

Imputation, encoding, scaling, SMOTE balancing, outlier treatment — configurable pipeline.

Model Training

Train 10+ algorithms in parallel — LightGBM, XGBoost, RandomForest, MLP, and more.

AutoML

Zero-config automated pipeline. Runs EDA, preprocessing, and Hyperopt-tuned training automatically with ensemble.

Data
EDA
Preprocess
Train
Ensemble
Batch Predictions

Load data and generate predictions at scale. Download results or push to your data warehouse.

CSV
Parquet
SQL
API
MLflow Integration

Track experiments, register models, and manage the full model lifecycle.

Capabilities
Everything you need, nothing you don't

From raw data to production predictions — Quantum handles the full ML lifecycle.

Visual ML Pipeline

Build complete ML workflows through a visual interface. Configure preprocessing steps, select algorithms, and launch training — all without writing code.

10+ ML Algorithms

LightGBM, XGBoost, Random Forest, GBT, Logistic Regression, Naive Bayes, MLP, Linear SVC — train them all in parallel with automatic leaderboard ranking.

Self-Hosted & Secure

Deploy on your own infrastructure. Your data never leaves your environment. Role-based access, license key validation, and SSO/SAML for enterprise.

Multi-Cloud Ready

One Docker image, any environment — AWS, Azure, GCP, or on-premise. Auto-discovers storage and MLflow connections.

How it works
From zero to production in 4 steps

Get started in minutes, not days.

Purchase license

Choose your plan on quantum-ui.com. Receive your license key instantly via email.

Deploy container

Run a single Docker command on your cloud. Auto-detects environment and connects to your services.

Invite your team

Admin panel lets you invite users, assign roles, and manage seats from one place.

Start building

Load data, run EDA, build preprocessing pipelines, train models, and deploy predictions.

Infrastructure
Deploy anywhere

One Docker image. Auto-discovers your environment and connects to your existing services.

AWS
App Runner · S3 · SageMaker
Azure
Container Apps · ADLS · Synapse
Google Cloud
Cloud Run · GCS · Vertex AI
On-Premise
Docker · docker-compose
terminal
# Deploy on any cloud — one command
$ docker run -d \
-e QUANTUM_LICENSE_KEY=qlk_abc123... \
-p 8000:8000 \
ghcr.io/quantum-ml/quantum-ui:latest
Cloud detected: Azure
Storage: ADLS Gen2 (auto-configured)
MLflow: Databricks (connected)
License valid — Professional (12 seats)
Quantum UI ready at http://0.0.0.0:8000

Ready to ship ML faster?

Start with a 14-day free trial. No credit card required. Deploy on your own infrastructure in minutes.

Start free trial Book a demo
FAQ
Frequently asked questions
What is Quantum?
Quantum is an end-to-end machine learning platform available as a visual UI (Docker container). It handles EDA, preprocessing, model training with 10+ algorithms, AutoML, batch predictions, and MLflow integration — all deployed on your own infrastructure.
How does the license key work?
After subscribing, you receive a license key (qlk_...) via email. Set it as an environment variable when running Quantum. The key is validated periodically against our API to verify your subscription status, plan limits, and feature access.
Can I deploy Quantum on-premise?
Yes. Quantum is designed for self-hosted deployment. Run it via Docker on any cloud provider (AWS, Azure, GCP) or your own servers. It auto-detects your environment and connects to existing storage and MLflow services. Your data never leaves your infrastructure.
What ML algorithms are supported?
Quantum supports LightGBM, XGBoost, Random Forest, Gradient Boosted Trees, Logistic Regression, Naive Bayes, MLP Neural Networks, Linear SVC, and more — with PySpark-native distributed training. AutoML automatically selects and tunes the best algorithms for your data.
What happens after the 14-day trial?
Your subscription activates automatically. Cancel anytime before the trial ends with no charge. All your work, models, and experiments are preserved. You can also downgrade or upgrade your plan at any time.
Do you support SSO / SAML?
Enterprise plans include SSO/SAML integration, dedicated support, SLA guarantees, and on-premise deployment assistance. Contact sales to discuss your requirements.