Harness the power of GenAI for financial services
From predictive analytics to generative AI, rapidly develop, govern, and scale AI for fraud prevention, risk management, customer experience, quantitative trading and more.
Request a demo today and discover why top financial institutions trust us to power their AI innovation.
Trusted by the world's leading financial institutions
Square, a financial services company providing tools to manage operations, enables entrepreneurs to deliver personalized, conversational customer service at scale using generative AI.
Royal Bank of Canada (RBC) generates strong returns for customers using sophisticated models for personalized cash flow forecasting and trade execution optimization.
Socure, the market leader in identity verification and fraud prevention solutions, protects consumer identity and prevents abuse using optimized fraud detection models.
M-Kopa revolutionizes access to digital financing for underbanked customers in Africa, by ensuring inclusion, responsible, and compliant AI practices.
Boost loyalty through tailored experiences
“We use Weights & Biases as the brains of our operations. It ensures the highest quality models make it to production.”
– Gabor Angeli, Senior Manager at Square
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Square helps businesses deliver fast, professional customer service at scale
- Challenge: Square wanted to help businesses deliver fast, professional customer service at scale, but developing and deploying high-quality GPT-style LLMs was time-consuming and complex.
- Solution: Square uses W&B Models to automatically retrain and evaluate LLMs on a monthly basis, manage model progression, maintain complete lineage, and collaborate.
- Results: Square efficiently develops, compares and deploys GPT-style LLMs that power delightful, automated customer interactions. This enables businesses of all sizes to build strong customer relationships and thrive.
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Learn more: How LLMs are changing the game
Gain an edge in quantitative trading
“We learned over the years that it takes more than just scientists to really make ML systems work.”
– Kathryn Hume, Vice President Digital Investments Technology at RBC
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RBC pioneers reinforcement learning for optimal trade execution
- Challenge: RBC wanted to move beyond traditional trade execution algorithms like VWAP and leverage the latest AI techniques to optimize trading strategies and achieve better results.
- Solution: RBC uses W&B Models to develop and deploy cutting-edge reinforcement learning (RL) models for trade execution. W&B Models enables RBC’s quant researchers to efficiently train RL agents, compare different reward functions, and visualize learning curves to optimize model performance.
- Results: RBC has developed an advanced trading system that dynamically adapts to market conditions in real-time. The RL-powered trading algorithms have reduced trading costs, improved execution quality, and generated significantly higher returns compared to standard VWAP strategies.
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Get Started: Stock price predictions tutorial
Fight financial fraud
“Weights & Biases gave our team a full and complete understanding of our model’s lineage.”
– Edward Li, Head of Computer Vision Research at Socure
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Socure optimizes fraud detection models
- Challenge: Socure needed to rapidly develop and deploy accurate fraud detection models to stay ahead of evolving fraud techniques, but inconsistent workflows across teams hindered efficiency.
- Solution: Socure standardized on PyTorch and W&B Models to streamline experiment tracking, model comparisons, artifact management, and collaboration across their model llifecycle.
- Results: Socure increased model building efficiency by 15%, saved 15% on compute costs, and optimized sophisticated fraud detection models that protect over 800 million identities, keeping consumers’ wallets secure.
Support compliant and trustworthy AI
“A lot of the things data scientists do are quite obscure, so trust has to be built through concrete demonstration. Having a system like Weights & Biases in place, designing processes to answer their questions, really helps build that trust.”
– Rosina Norton, Head of Data Science at M-KOPA
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M-KOPA ensures responsible AI for inclusive lending
- Challenge: M-KOPA needs to ensure their models for credit scoring and pricing are transparent, auditable and compliant with regulations as they expand access to life-changing products.
- Solution: M-KOPA leverages the W&B Registry as a centralized hub to track model development, maintain a strong audit trail, and collaborate with business stakeholders on model validation and promotion.
- Results: M-KOPA has streamlined model management workflows, improved model lineage tracking, and transparency. That enabled their team to deliver sophisticated yet compliant models that have enabled hundreds of thousands of underserved customers to access new financing products.
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Get started: Modern credit analysis tutorial
Why Weights & Biases for financial services
Accelerate financial innovation
Speed time-to-market for new AI-powered products and services like personalized wealth management, intelligent fraud detection, chatbots, and real-time risk analysis. Rapidly develop, test and deploy models and LLMs to drive business growth and competitive advantage.
Streamline model risk management
Facilitate seamless collaboration between model developers, validators, and risk managers on a unified platform. Benefit from a centralized system for model inventory, documentation, validation, and monitoring to streamline compliance with regulations like SR 11-7.
Support responsible AI in finance
Establish trust and transparency in financial AI applications with rigorous governance capabilities. Get complete reproducibility, built-in lineage tracking, immutable audit trails, granular access controls and comprehensive model monitoring to mitigate risks and promote responsible AI practices.
Financial services partner ecosystem
Cloud and infrastructure providers
Foundational model builders
Industry-leading security and compliance
Weights & Biases products are SOC 2 and HIPAA compliant with robust enterprise-grade information security policies. The SaaS offering is fully GDPR-compliant and Privacy Shield-certified. Weights & Biases also supports enterprise installations in private cloud and on-prem clusters that can plug in easily with other tools in your AI workflow.
