◆ Industry
AI development for FinTech
We build production AI for financial services: KYC and identity verification with OCR and facial recognition, document AI for financial paperwork, and graph plus vector retrieval for financial research. Fast, accurate, and built for the accuracy and governance financial workflows demand.
- EUR 40k
- annual cost removed
- 98%
- field-detection accuracy
- +40%
- query accuracy
What we build
- KYC automation: OCR (PaddleOCR) with facial recognition (DeepFace)
- Document detection and classification (YOLOv8), tuned for low compute
- Graph plus vector retrieval for financial research (Neo4j and embeddings)
- Sub-200ms retrieval with gRPC and Redis caching
- Hybrid semantic and structured search that cites its sources
- Secure, tenant-scoped credential handling
Frequently asked
Do you have real FinTech AI experience?
Yes. We built a KYC verification system that removed roughly EUR 40,000 a year in cost, and a graph plus vector retrieval platform that lifted query accuracy by 40%.
How accurate is your KYC OCR?
98% field-detection accuracy across multiple ID types, with 70% less compute than standard solutions, plus confidence scoring that routes uncertain cases to a human.
Can it handle complex financial queries?
Yes. We combine knowledge graphs for entity relationships with vector search for content, which lifted query accuracy by 40% over a vector-only baseline.
Building AI for FinTech?
Production-grade, owned end to end. Usually a reply within a day.