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.
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