Manulife
AI & ML interests
None defined yet.
Recent Activity
Welcome to the Manulife AI Research organization on Hugging Face!
At Manulife, we are committed to advancing the application of artificial intelligence to help people make better decisions and live better lives. Our AI research teams work across the organization — embedded within business and technology functions — to develop practical, responsible AI solutions that improve outcomes for our customers, advisors, and operations worldwide.
Our research spans key areas including conversational AI and virtual assistants, retrieval-augmented generation for financial documents, LLM evaluation and benchmarking, causal inference and econometrics, and responsible AI governance. We publish at leading academic venues and actively collaborate with university partners, including the University of Waterloo, to push the boundaries of AI in financial services.
We believe in building AI responsibly. Our Responsible AI framework incorporates three independent lines of oversight, interpretable modeling practices, integrated bias testing, and privacy-preserving techniques — ensuring that our AI systems are trustworthy, fair, and transparent.
Open Source
We are proud to contribute to the open-source community with tools and datasets that advance AI research in finance:
- models-eval-playbook — A CLI-based framework for evaluating large language models across multiple providers (Azure OpenAI, Ollama, OpenRouter, and more) with MLflow integration for experiment tracking.
- financialqa — A RAG-based question answering system for multi-structured financial documents, extracting and reasoning over text, tables, and figures from complex PDFs.
Selected Research
Our teams contribute to peer-reviewed research at the intersection of AI and financial services, with recent work in areas such as:
- Multi-structured document understanding using large language models (ECIR 2026)
- Retrieval-augmented generation for financial institution knowledge bases
- Fraud prevention and detection with generative AI
- Analyst sentiment signal extraction and market dynamics modeling
- Social media analysis for health and behavioral outcomes