From real-time fraud detection to automated credit underwriting — QuantPi builds production-grade AI systems for banks, insurance companies, asset managers, and fintechs. Compliant with Basel III, PSD2, DORA, and EU AI Act.
Financial institutions face a unique challenge: the pressure to innovate with AI is immense, but so is the regulatory scrutiny. Every model must be explainable, auditable, and demonstrably fair. QuantPi understands this tension deeply — our team includes engineers who have built production AI systems for global banks, insurers, and payment processors.
We build AI that passes regulatory review. Our systems come with built-in explainability (SHAP, LIME), bias monitoring, model risk management documentation aligned with SR 11-7, and compliance frameworks for GDPR, PSD2, DORA, and the EU AI Act. Speed without compliance is a liability. We deliver both.
Schedule a DemoML models that analyze thousands of transactions per second, detecting fraud patterns with 99.7% precision. Adaptive learning reduces false positives by 60% compared to rule-based systems.
AI-powered credit models that assess risk across alternative data sources. Reduce approval times from days to minutes while maintaining regulatory-compliant explainability.
NLP and graph analytics that identify suspicious transaction networks and reduce SAR false positives by 70%. Compliant with FATF guidelines and local regulations.
Extract, classify, and validate data from loan applications, KYC documents, and compliance filings with 95%+ accuracy using LLM-powered intelligent document processing.
Custom quantitative models for portfolio optimization, market microstructure analysis, and systematic trading strategies with rigorous backtesting frameworks.
360-degree customer analytics, next-best-action engines, and churn prediction models that increase cross-sell rates by 30-40%.
A multinational bank processed 200,000+ loan applications monthly by hand. We built an NLP pipeline that extracts, validates, and classifies data automatically — reducing processing time by 85% and operational costs by $4.2M annually.
Every model includes SR 11-7 aligned documentation, SHAP/LIME explainability, bias monitoring dashboards, and audit trails. We work with your compliance team to satisfy regulator requirements before deployment.
Yes. Our fraud detection systems process 10,000+ transactions per second with sub-50ms latency using streaming architectures built on Kafka and Flink.
We run comprehensive fairness audits across protected attributes using equalized odds, demographic parity, and calibration metrics. Debiasing is integrated into the training pipeline.
SOC2 Type II, GDPR, PCI-DSS. All data stays within your infrastructure with VPC isolation and encryption at rest and in transit.
Start with a technical conversation. No pitch decks, no pressure — just a discussion about what’s possible for your industry.