The Problem
Financial records arrive fragmented, inconsistent, and sensitive. Most intelligence products solve the analysis problem by creating a new privacy problem.
03 / AI / DATA / PERSONAL FINANCE
Private financial analysis, powered entirely by local intelligence.
THE CASE STUDY
Financial records arrive fragmented, inconsistent, and sensitive. Most intelligence products solve the analysis problem by creating a new privacy problem.
A local-first ingestion pipeline extracts, validates, normalizes, and deduplicates transactions before a retrieval layer gives an on-device model grounded access to the clean dataset.
Statement formats change between banks, descriptions are noisy, and transfers or reversals can look like unrelated transactions.
A reliable foundation for private categorization, anomaly detection, trend explanation, and natural-language financial analysis.
TECHNOLOGY MAP