Streamline your entire quant research loop, from hypothesis to production
Today’s top quant firms are moving beyond traditional “artisan” models to build intelligent systems that learn from massive, real-time data streams and execute trades with precision. With tools from Weights & Biases and infrastructure from CoreWeave, quants can accelerate research, optimize performance, and deploy models with confidence.
How W&B Models can help your team
W&B Experiment Tracking lets you train, govern, and manage models from prototype through production.
W&B Registry
Registry centralizes the tracking of models, datasets, metadata, while supporting governance, reproducibility, and CI/CD best practices.
W&B Reports
Document findings from your training experiments and share them with your team and internal stakeholders with Reports.
AI model and compute speed:
The new alpha for quantitative trading
Discover how leading quantitative trading firms are using modern AI tools and infrastructure to gain a competitive edge. You’ll learn how to build, train, and deploy high-performing models faster, all while optimizing GPU resources and ensuring strong governance. Whether you’re scaling research or improving execution, this guide shows how Weights & Biases and CoreWeave can help you get ahead.
Trusted by innovative quant teams building complex, mission-critical financial models
LG AI Research developed EXAONE, an AI system powering the world’s first fully AI-managed, exchange-traded fund on the NYSE. But LG’s use of AI doesn’t stop with trading. They also use Weights & Biases for fine-tuning models across supply chain optimization and forecasting applications for LG’s subsidiaries.
Riskfuel builds deep neural networks that replicate complex financial pricing engines, reducing compute costs for banks while maintaining accuracy in derivatives pricing and risk calculations at a fraction of traditional Monte Carlo simulation costs.
Jane Street relies on CoreWeave to provide a full-stack compute solution purpose-built for the high-performance and security requirements of their operations, including direct connections, dedicated storage, upgrade options, and more, when designing, executing, and scaling its own proprietary models.
