Research
Research at Lumera
Applied research projects, benchmark results, and the publications process that supports them.
Published
Coverage and Protocol-Aware Evaluation of Risk Enrichment and Graph-Tabular Learning for Anti-Money Laundering and Fraud Detection
Detecting fraud from transactional and relational signal.
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Applied research
Schema Sentinel
Detect data change before it breaks downstream systems.
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Under peer review
ConversaETL and ConversaBench: Typed Planning and Deterministic Compilation for Verifiable Conversational ETL
Natural language understanding with deterministic execution.
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Publications
Lumera distinguishes verifiable external publications from manuscripts still under review. FraudGuard AI is represented here by an external publication identified by its title, authors, journal, and DOI.
Learn moreBenchmarks & Reproducibility
Results are presented with their evaluation context so technical progress is easier to compare and understand.
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