Fintech adjacent
IceVault
How it works
Finance-adjacent spend surface that pairs heuristics and models without bypassing treasury controls.
What we designed
Teams bolt ML onto ledgers quickly, skip lineage, then cannot explain anomalies to finance partners or auditors.
IceVault tags spend with dual confidence scores, attaches policy references, emits alerts with replayable payloads, and never mutates authoritative ledger cores.
Evidence bundles
Each classification ships with supporting transactions, heuristic codes, embedding distances, and analyst notes zipped for audit pulls.
Model + rules sandwich
Deterministic freezes handle regulated categories while models prioritize merchant noise—ordering is contractual, never accidental.
Alert choreography
Notifications stage through severity ladders; treasury webhooks ACK only once downstream systems mirror state.
- 01
Sanitized ingestion
Connectors hydrate read models from accounting APIs with checksum validation and dead-letter trenches for poison rows.
- 02
Dual-path classification
Heuristics short-circuit known merchants; residuals enter embedding + calibrated classifier lanes with calibrated thresholds.
- 03
Anomaly choreography
Spikes fan into parallel investigations tracked as cases—each step references policy IDs and SLA timers.
- 04
Controlled feedback loop
Analyst corrections write to golden sets; promotion gates evaluate drift dashboards before nightly batch retrains.
Under the hood
Batch + streaming ingestion, Postgres + immutable append-only ledger mirror, KMS-wrapped secrets, PCI-scoped subnets when required.
Stack highlights
Illustrative composite based on recurring studio patterns—not a testimonial tied to any single deployed client.