EBA & PRA SS5/25 ALIGNED
Deterministic Risk Intelligence Upstream of Core Decisioning.
Replace subjective ESG vendor scores and unverified self-disclosures with audit-ready, counterparty-level evidence powered by deterministic Small Language Models.
THE OPERATIONAL SHIFT
Institutional Bottleneck vs. The LuminaPro Standard
How credit committees and risk officers resolve the data gap before loan commitment.
| Current Industry Challenge | The LuminaPro Standard |
|---|---|
| Aggregated Vendor Scores: Macro ratings that mask loan-level counterparty reality. | Activity-Level Granularity: Evaluates individual facility risks and operational supply chains. |
| Manual Questionnaires: High operational friction and unverifiable corporate self-reporting. | Continuous OSINT Verification: Evidence synthesized from verifiable regulatory and public filings. |
| Generative "Black Box" LLMs: Hallucination risk unsuited for credit underwriting. | Deterministic Small Language Models: Constrained decoding guaranteeing exact reproducibility. |
| Supervisory Vulnerability: Memos lacking evidence lineage during stress testing. | Audit-Ready Cryptographic Lineage: Source-cited proof hashes for immediate PRA and EBA audits. |
MODEL INTEGRITY
Deterministic 4-Stage Extraction Pipeline
Designed for zero data contamination and supervisory validation.
01
Multi-Source Ingestion
OSINT corporate filings, trade registers, environmental disclosures, and regulatory submissions.
02
Task-Scoped SLMs
Strictly scoped models without generative speculation or parameter leakage.
03
Lineage Hashing
Every assertion generates a cryptographic citation proof hash mapped to source text.
04
Core Banking Delivery
Direct REST API integration into underwriting decision engines and credit committee memos.