Definition

Sequential foundation models read financial behavior as ordered event sequences rather than static snapshots. Pretrained broadly on behavioral and transactional data, then fine-tuned for domain tasks like credit risk, fraud, and payment return prediction.

Key Points

  • 2026-10-06: plaid deploys sequential foundation models across LendScore Arc, Signal 4, Cash Advance Index 2, and Fraud Foundation Model (2026-10-07-plaid-foundation-models-intelligence)
  • Transformer attention weighs events across time; pretrained before task-specific labeling cycles
  • Signal 4: ~136ms to score 300 transactions in testing; 26% more risky ACH dollars caught at 1% decline rate (vendor-reported)

Sources