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ZWIGHTX / NEURAL_REPOSITORY / ICE Credit Engine
[ SYSTEM_LOG_0x6 ] // FINTECH

ICE Credit Engine

Real-time alternative data credit scoring engine for unbanked demographics.
01
INTAKE
02
DATA_FETCH
03
INDIA_REGS
04
RISK_MODEL
05
AGENT_REVIEW
06
DECISION
[ SCROLL_TO_BRIEF ]
6
pipeline stages
India-specific
regulatory intelligence
Multi-agent
review protocol
Railway
deployed infrastructure
[ ROOT_CAUSE_ANALYSIS ]

Indian corporate credit appraisal is still a manual 3-week process with no regulatory intelligence built in.

Extractsthousandsofalternativedatapointstocomputeriskandissuemicro-loansinstantly.
[ SYSTEM_ARCHITECTURE ]

The six-stage multi-agent pipeline — what each stage does and which agent owns it.

The India regulatory intelligence layer — how RBI guidelines, SEBI filings, and MCA records are pulled and interpreted in real time.

The risk scoring model — how financial ratios, industry benchmarks, and compliance history combine into a single appraisal recommendation.

The deployment architecture — Railway hosting, API endpoints, and how it integrates with existing banking workflows.

[ ARCHITECTURE_VISUAL ]
[ CORE_MODULES ]
[ MODULE_01 ]

6-Stage AI Pipeline

Rigid sequential verification from intake to final human-in-the-loop decision.

[ MODULE_02 ]

India Regulatory Intelligence

Dynamic RAG spanning RBI, SEBI, and MCA directives.

[ MODULE_03 ]

Multi-Agent Review

Cross-auditing between logic models to flag compliance blindspots.

[ MODULE_04 ]

Automated Appraisal

Sub-second generation of 40-page compliant risk reports.

[ TECHNOLOGY_LAYER ]
[ PIPELINE ]
Python
FastAPI
Celery
[ RAG CORPUS ]
Qdrant
LlamaIndex
[ DATA GOVERNANCE ]
PostgreSQL
Vault
[ HOSTING ]
Railway
Docker
[ DEPLOYMENT_SEQUENCE ]
Week 1PIPELINE ARCH

Pipeline architecture and agent role design.

Week 2INGESTION

Data ingestion layer, regulatory API connections.

Week 3SCORING MODEL

Risk scoring model calibrated against Indian benchmarks.

Week 4CROSS-REVIEW

Multi-agent review protocol.

Week 5DEPLOYMENT

Railway deployment, API documentation.

Week 6LAUNCH

Hackathon submission.

3-week manual process

reduced to 4 minutes.

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