Case study · 2025 · AI matching
Credizen (AI-powered credit comparison & intelligence)
AI matching models for personalized recommendations + real-time lender integrations and compliance engine.
Proof KPI (measured / ops)
200,000+platform users
200+verified lenders
~8countries/markets
≥4.7/5user rating
~30 s – 5 mintime-to-offer flow (soft checks)
Evidence type: operational data, process metrics, compliance and partnerships.
Time window
2025: founding and platform launch, first live operations and user growth during 2025.
Baseline (before)
Traditional aggregators: less personalized offers, higher latency, higher rejection risk and longer path to a relevant offer.
Solution
AI matching
Models evaluate 50+ factors to personalize recommendations.
Real-time integrations
Integrations with lender APIs for fast offer flows.
Compliance
GDPR + local regulation with verified institutions per market.
Leadership KPI framing
For comparison platforms and marketplaces, leadership typically tracks revenue, margin, CPA/CAC, conversion and payback. When detailed percentage gains aren’t publicly stated, we focus on measurable process metrics and explicit impact assumptions.
Note: specific % savings vs baseline lending are not publicly declared; ops metrics are provided instead.