AI Credit Modelling Platform — Saudi Arabia

Build Smarter
Credit Models
At Scale.

Crux AI Credit Modelling Platform enables banks, fintechs, and lenders across Saudi Arabia to build, validate, and deploy production-grade credit scorecards in hours — not months.

From application risk through behavioural portfolio monitoring to collections optimisation — all powered by advanced AI and built for regulatory-grade transparency. Fully aligned with IFRS 9, Basel standards, and Saudi Arabia's Vision 2030 digital transformation goals.

ISO & SOC 2 Certified Live in 24 Hours No-Code Platform You Own Your Model IP
10x
Faster Deployment
98%
Model Accuracy
1 Day
Data to Live
Credit Score Engine ● LIVE
98.2%
AUC Score
12.4K
Records/sec
A+
Risk Grade
Payment History88%
Credit Utilisation72%
Behavioural Score94%
Vision 2030-aligned · IFRS 9 & Basel compliant · Saudi Arabia & GCC
Scorecard Types

One Platform.
Three Powerful Scorecards.

Application, Behavioural, and Collection scorecards — built, deployed, and monitored from a single unified AI platform. Trusted by financial institutions across Saudi Arabia and the GCC.

Application Scorecards

Assess new applicants instantly with AI that processes 100+ variables across financial, behavioural, and alternate data — approving more creditworthy borrowers safely and at speed.

  • Real-time credit decisioning
  • Multi-source data fusion
  • Consumer & SME loan support
  • SHAP explainable AI decisions
Explore Application Scorecards

Behavioural Scorecards

Continuously re-score existing customers using live transaction data. Detect stress signals 60+ days before default and act before losses materialise across your portfolio.

  • Continuous portfolio monitoring
  • Early delinquency detection
  • Dynamic risk re-scoring
  • IFRS 9 provisioning ready
Explore Behavioural Scorecards

Collection Scorecards

Predict cure probability for every delinquent account and automatically assign the optimal recovery strategy — increasing recovery rates by 30%+ while cutting operational cost.

  • Cure probability scoring
  • Agent workload optimisation
  • Omnichannel strategy engine
  • Compliance & fair treatment built-in
Explore Collection Scorecards
10x

Faster model development vs. legacy scorecard methods

98%

Average AUC accuracy across deployed Crux scorecards

1 Day

Average time from data upload to live scorecard in production

24h

Deployment SLA — from validated model to live API decisioning

Trusted by financial institutions across Saudi Arabia and the GCC. Results benchmarked across consumer and SME credit portfolios.

Model Performance — Variable Importances

Application Scorecard v4.1 · Production · Saudi Arabia

Payment History 92%
Income Stability 84%
Credit Bureau Score 88%
Employment Status 67%
Debt-to-Income Ratio 79%
SHAP explainability · SAMA-compliant · Full audit trail
Core Capabilities

Empower Your Credit Teams —
Data to Deployment

A complete AI and traditional modelling toolkit that accelerates every stage of the credit risk lifecycle — without needing a large data science team or lengthy IT sprints.

Built for KSA banks and fintechs — fully aligned with SAMA supervisory expectations, IFRS 9 provisioning, and Saudi Arabia's Vision 2030 digital transformation mandate.

360° Data Integration

Connect internal, bureau, and alternate data sources. AI-powered imputation, bias reduction, and automated variable derivation included — out of the box, with zero manual engineering.

AI Model Builder

Build scorecards for consumer and SME credit in hours using ensemble ML, deep learning, and traditional WoE logistic regression — with 100+ auto-derived features and auto-benchmarking.

Full Parameter Control

Fine-tune 20+ model parameters — binning strategies, PD calibration, variable selection thresholds — all from a no-code interface. Business teams stay in full control.

AI Toggle — Best of Both

Switch between traditional logistic regression, ensemble ML, or a hybrid blend. Interpretability for regulators, accuracy for the business — your choice, always.

How It Works

Data to Deployment in 6 Simple Steps

What competitors build in 9–12 months, the Crux AI platform delivers in a single day — with full validation, explainability, and regulatory documentation included.

1
Data Ingestion
Connect any source. Automated validation and quality scoring.
2
Data Treatment
Auto-clean, bias-reduce, and apply WoE transformation.
3
Feature Engineering
100+ auto-derived variables — no manual engineering.
4
Model Builder
Set parameters, select algorithm, generate scorecard.
5
Validate
Cross-validate with SHAP explainability and regulatory docs.
6
Go Live
One-click REST API deploy, monitor drift, auto-alert.
Why Crux

Credit Intelligence Built for
Saudi Arabia's Financial Future

Purpose-built for KSA banks and fintechs — from regulatory alignment to GCC market dynamics and Vision 2030 digital transformation priorities.

No-Code for Any Team

Powerful AI meets a zero-code interface. Any credit analyst — with or without a data science background — can build, validate, and deploy production-grade scorecards without writing a single line of code. Drag-and-drop clarity backed by enterprise-grade intelligence.

ISO & SOC 2 Certified

Enterprise-grade security and full compliance baked in from day one — meeting SAMA, IFRS 9, and Basel requirements.

API-First Architecture

Connects to your existing LOS and technology stack within weeks via a clean, documented REST API.

Explainable AI — Regulator Ready

Every model decision is transparent, auditable, and fully documented — ready for SAMA supervisory review.

Scales With Your Business

From Saudi fintech startup to tier-one bank — the platform scales without switching vendors or losing modelling speed.

Cloud, Hybrid, or On-Premise

Deploy on public cloud, private cloud, or fully on-premise. Your model intellectual property remains yours, always.

Why It Matters

What Is an AI Credit Modelling Platform?

An AI credit modelling platform enables financial institutions to build predictive scorecards using machine learning and statistical modelling techniques. It automates feature engineering, model validation, monitoring, and deployment — reducing development time from months to hours while improving predictive accuracy and maintaining full regulatory explainability.

Unlike traditional scorecard development — which requires specialist data scientists, months of manual feature engineering, and separate validation teams — a modern AI credit modelling platform like Crux automates the entire lifecycle. This enables Saudi Arabia's banks, fintechs, and digital lenders to build IFRS 9-aligned and Basel-compliant models at the speed the market demands.

Legacy Credit Modelling
6–12 months from data to live deployment
Requires a dedicated data science team
Limited to 10–30 manually selected variables
No built-in explainability or audit trail
Separate tools for each scorecard type
Crux AI Credit Modelling Platform
Live in 24 hours — from data to production
No data science team required
100+ auto-derived variables from any data source
Full SHAP explainability and regulatory audit trail
Application, Behavioural & Collection on one platform
The Crux AI Credit Intelligence Ecosystem

One Platform Across the Entire Credit Lifecycle

Every Crux product is connected. Use one or use all — the Credit Modelling Platform is the foundation layer that powers every scorecard and decision across the ecosystem.

Application Scorecard
Origination risk
Behavioural Scorecard
Portfolio monitoring
Collection Scorecard
Recovery optimisation
Decision Engine
Automated execution
Propensity Models
Customer growth & retention
Get Started

Ready to Transform Your
Credit Risk Process?

See how the Crux AI Credit Modelling Platform helps Saudi Arabia's leading financial institutions build smarter, faster, and more accurate credit models — in a focused 30-minute strategy session.

Join financial institutions across KSA and the GCC already making better credit decisions with Crux.

Saudi Arabia & GCC Ready SAMA & Vision 2030 Aligned ISO & SOC 2 Certified Dedicated Onboarding Support