Financial Services
Financial AI has to improve speed without losing auditability, privacy, or control.
AI use cases
Fraud and AML detection
Detect unusual behavior across transactions, devices, accounts, and case history.
Claims and underwriting automation
Extract documents, check rules, draft decisions, and route exceptions to reviewers.
Private research assistants
Search filings, reports, memos, market notes, and policies with source citations.
Customer service agents
Resolve routine requests while preserving identity checks, escalation, and audit trails.
Risk scoring and monitoring
Model credit, portfolio, vendor, market, and operational risk with explainable signals.
Regulatory evidence workflows
Prepare review packets, control evidence, and compliance summaries from internal systems.
Selected work
Making skewed ESG data usable
ESG datasets can be dominated by outliers. We cleaned the pipeline and used a constrained ensemble so the model could predict without being pulled apart by the extremes.
A map engine for dense property data
Property search needs to feel instant even when the data is geospatial and messy. We paired Mapbox with custom rendering so dense markers stayed smooth.
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