Selected engagements
Some engagements are anonymized or attributed to delivery and academic partners; details shared under NDA.
Turning dispersed, heterogeneous sources into investment intelligence — agentic architecture with knowledge graphs, hybrid retrieval and a natural-language interface, with evaluation and traceability built in.
Personalized recommendations on sensitive health data — ML pipelines, retrieval, agentic workflows and recommendation engines, with privacy-by-design and governance for sensitive data.
Data and AI architecture for large-scale processing, computer vision and analytics integrated into product workflows, with reliability and data-contract discipline.
Modern foundations before AI — application modernization, event-driven architecture, lakehouse and data platforms, MLOps and observability.
With academic and delivery partners — extraction, clause structuring, knowledge-graph reasoning, agentic automation and human-in-the-loop for high-stakes outputs.