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Fintech

Alternative-data credit scoring

Score thin-file and underserved applicants with alternative data — responsibly.

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When you need this

  • You decline applicants you can't score with traditional data.
  • You want to expand into thin-file or underserved segments.
  • Existing scorecards are stale or underperforming.
  • You need explainable, auditable models for regulators.

What you get

We build credit-risk models that blend traditional bureau data with alternative signals, so you can assess more applicants accurately while keeping models explainable and fair.

  • Credit models that combine traditional and alternative data.
  • Explainable scores with reason codes.
  • Validation for performance and fairness.
  • Integration into your decisioning flow.
  • Monitoring for model drift.

How we do it

1
Discovery

We agree on target segments, data sources, and regulatory constraints.

2
Data preparation

We assemble and validate traditional and alternative data.

3
Model

We build and validate models with explainability and fairness in mind.

4
Integrate

We deploy scoring into your decision engine.

5
Calibrate

We set cutoffs with your risk and compliance teams.

6
Monitor & retrain

We track performance and retrain as populations shift.

Business outcomes

  • Approve more good applicants, including thin-file ones.
  • Explainable, defensible decisions.
  • Better risk separation than legacy scorecards.

Why Intellectual Systems

  • Solutions that integrate with your existing tools and workflows.
  • Multilingual delivery, including Modern Standard Arabic and regional dialects.
  • GDPR-aligned by default, adaptable to your specific compliance needs.
  • Long-term support and iteration after launch.

FAQ

What data sources can we use?
We work with your bureau data plus alternative sources you have the rights to use.
Are the models explainable?
Yes — scores come with reason codes, which is essential for regulators and adverse-action notices.
How do you handle fairness?
We validate for fairness as part of model development and document the results.
Does it integrate with our decision engine?
Yes — scoring deploys into your existing decisioning flow.
Is data secure?
Yes. We follow GDPR principles by default and keep data within your approved environment.

Related solutions

Behavioral fraud scoring An ML model that flags suspicious activity from behavioral patterns in real time. KYC & document automation Extracts and verifies data from IDs and documents to speed up onboarding. Regulatory RAG assistant Instant answers from internal policies and regulatory texts, with citations to the source.
Interested? Let's build this for your business
Tell us what you're looking to achieve and we'll suggest the most effective solution tailored to your timeline and budget.



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