Data Ingestion
CSV and spreadsheet upload, field mapping, data validation, and storage orchestration.
AI platform for structured credit workflows
Turn raw bank credit data into investable structured assets.
ARTedyS AI ingests loan tapes and credit documents, standardizes the data, detects anomalies, scores risk, applies eligibility rules, and generates SPV-ready structuring outputs and investor analytics.
45
sample loans
€6.4M
portfolio balance
37
eligible loans
Portfolio Intelligence Dashboard
Assets Analysed
€42M
Average Yield
8.4%
Eligible Pools
2
Upload
AI
Risk
SPV
Report
Balance
€6.4M
Avg Rate
7.1%
Expected Loss
1.2%
Projected IRR
8–10%
Workflow
One platform. One execution chain.
1
Upload portfolio tape
Import CSV loan tapes, servicer files, and related credit documentation.
2
Normalize credit data
Map heterogeneous fields into one standardized structure across jurisdictions.
3
Run AI analysis
Detect anomalies, build portfolio segmentation, and generate first analytics.
4
Score risk and eligibility
Estimate expected loss, apply stress scenarios, and select eligible receivables.
5
Structure SPV output
Generate pool size, tranche sizing, coupon assumptions, and report templates.
Capabilities
Built for credit operations, analytics, and structuring.
AI Portfolio Analysis
Anomaly detection, portfolio clustering, weighted metrics, and quality scoring.
Risk Engine
Expected loss estimation, scenario analysis, and eligibility filtering for pool construction.
Structuring Engine
Pool sizing, senior / equity split assumptions, projected coupon, and report generation.
Investor Output
Investment summary, composition analytics, geography split, and note parameters.
Secure Infrastructure
Auth, database, storage, audit logs, and API functions with optional Supabase backend.
Architecture
Demo architecture ready for Supabase-backed deployment.
Bank Loan Tapes
CSV · XLSX · Documents
CSV · XLSX · Documents
→
Ingestion Layer
Upload · Validation · Mapping
Upload · Validation · Mapping
→
AI Engine
Normalization · Anomaly Detection
Normalization · Anomaly Detection
Risk Engine
Expected Loss · Eligibility
Expected Loss · Eligibility
→
Structuring Engine
Pool Builder · Tranche Logic
Pool Builder · Tranche Logic
→
Investor Output
Dashboard · Report · Note Inputs
Dashboard · Report · Note Inputs