Quantum ML is an end-to-end enterprise MLOps platform that operationalizes machine learning, delivering decision-ready forecasts across commodities, risk management, and strategic planning.
Quantum ML enables organizations to move beyond fragmented workflows and isolated models, turning machine learning into a scalable, enterprise capability. By unifying data ingestion, model development, deployment, monitoring, and interpretation in a single system, Quantum ML streamlines the path from raw data to actionable decisions. This allows centralized teams to support forecasting, risk, and planning across multiple commodities, time horizons, and lines of business—driving measurable improvements in efficiency, consistency, and decision impact at scale.


In today’s markets, data is more than information—it’s a competitive edge. QDT’s Data Lake provides easy and secure access to high-quality datasets spanning a wide array of sources and categories.
Better data drives better models and superior business outcomes. With the Data Explorer, users unlock this advantage instantly, turning an ocean of data into actionable intelligence.
In today’s markets, data is more than information—it’s a competitive edge. QDT’s Data Lake provides easy and secure access to high-quality datasets spanning a wide array of sources and categories.
Better data drives better models and superior business outcomes. With the Data Explorer, users unlock this advantage instantly, turning an ocean of data into actionable intelligence.
QDT leads the way in scalable automated machine learning infrastructure, delivering “Always on” forecasting with unmatched cost-efficiency and operating leverage for enterprise teams.
Whether deployed in the cloud or on-premise, automated data pipelines and dynamic infrastructure scaling enable technical and non-technical users to deploy and manage thousands of machine learning models with ease.
QDT leads the way in scalable automated machine learning infrastructure, delivering “Always on” forecasting with unmatched cost-efficiency and operating leverage for enterprise teams.
Whether deployed in the cloud or on-premise, automated data pipelines and dynamic infrastructure scaling enable technical and non-technical users to deploy and manage thousands of machine learning models with ease.
Our Adaptive AI framework continuously learns from new data. With regular retraining, and a challenger/champion ensemble approach, models remain responsive to shifts in market regimes over time.
Where static models fall short, our ‘Adaptive AI’ approach achieves higher accuracy and more durable performance in spite of the ever-increasing backdrop of volatility and uncertainty in today’s world.
Our Adaptive AI framework continuously learns from new data. With regular retraining, and a challenger/champion ensemble approach, models remain responsive to shifts in market regimes over time.
Where static models fall short, our ‘Adaptive AI’ approach achieves higher accuracy and more durable performance in spite of the ever-increasing backdrop of volatility and uncertainty in today’s world.
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In my years leading data science teams, I saw a recurring gap between the potential of machine learning and the reality of its application. Static models often failed to deliver durable value because they couldn't adapt to real-world volatility.
That’s why we purpose-built Quantum ML. It’s an end-to-end solution that combines our Adaptive AI with diverse data and dynamic architecture to create a battle-tested analytics engine that goes far beyond traditional forecasting.
Our goal is to provide your enterprise with a technology suite you can trust for your most critical decisions. It's why the world's leading institutions rely on our platform, and it's the commitment we bring to every one of our partners.

Rajiv Chandrasekaran, PhD, Machine Learning
Co-founder and CEO, Quantum Data Technologies
Choose the plan that fits your needs.
Create 15 models per month
Tier 1 data access
Up to 20K predictors
1 year backtest history
Standard model parameter selection
Chat Support
Create 30 models per month
Tier 1 data access
Up to 40K predictors per model
2 years backtest history
Advanced model parameter selection
Priority Support
Pay per use modeling costs
A-la-carte data licensing
Up to 60K predictors per model
5 years backtest history
Automated model parameter exploration
Expert Data Science and Strategy Engineering support