Technology — Lawful Data Rails to Boardroom | CCRA

Technology

Lawful rails to boardroom

One data spine. One knowledge graph. Three engines — assessment, diligence and monitoring — sitting on consented, machine-readable Indian data.

Assessments feed monitoring. Monitoring feeds the graph. The graph sharpens every next assessment.

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The stack

Four layers, end to end

Layer 01

Lawful Data Rails

Account Aggregator
GSTN via GSP
MCA21
Courts & tribunals
GeM & tenders
NeSL
Public / news sources

Layer 02

Data Spine

Entity-resolved knowledge graph
Document AI / OCR
Alternative and geospatial signals

Layer 03

AI Engine

ML & deep-learning scoring
LLMs with retrieval
Agentic monitoring
Early-warning models
Fraud detection

Layer 04

Governance Rail

Explainability & reason codes
Human-in-the-loop review
Bias testing & model audit
ISO 27001 / SOC 2 / CERT-In alignment
DPO & consent management

The compounding loop

Every report makes the next score sharper

Bureaus, rating agencies and due-diligence firms each cover one piece of the picture. Crux integrates assessment, deep diligence and continuous monitoring on a single knowledge graph.

Built for data-thin MSMEs, not just large rated corporates
Consent-architected data (DPDP-by-design) — not scraping
Continuous monitoring, not one-off reports
Explainable AI — every score comes with reason codes

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DPDP-by-design. Account Aggregator, GSP APIs, public registers and consented checks only — no unconsented personal-data harvesting.