Fraudex
Realtime anomaly and fraud defense for your money.
Fraudex is designed to watch every connected financial flow—not only one bank or card. It scores transactions, identifies duplicates and policy violations, builds counterparty context, and routes suspicious payments to human review before settlement where possible.
Vendor payment differs from established behavior.
New bank account · invoice amount 3.8× vendor median · domain changed 2 days ago
Illustrative risk stream. Streaming ML and graph models are planned.
Fraud hides between disconnected systems.
Bank controls see the bank. Card platforms see their cards. Fraudex is designed to see the whole cash picture and the relationships between vendors, invoices, accounts, and approvals.
Score every connected money flow.
Monitor banks, cards, AP, and Stripe continuously instead of waiting for month-end reconciliation.
Understand the counterparty, not only the payment.
Graph relationships expose changed accounts, shared identities, unusual clusters, and possible collusion.
Route risk into the approval path.
High-risk transactions can be held for review and passed to Treasa’s policy gate before execution.
From transaction event to an explainable decision.
Ingest the event
Normalize transactions from connected banks, cards, AP, and revenue systems.
Detect anomalies
Compare amount, timing, identity, policy, and historical behavior in real time.
Map relationships
Evaluate vendors, accounts, domains, invoices, and shared counterparties.
Clear or escalate
Release expected activity or route suspicious payments to human review.
Risk detection has to run before settlement.
Streaming inference and graph analysis need enough throughput to score activity inline, while the decision can still prevent loss.