AI Development & Data Services for Finance

Build AI That Actually Works for Financial Services

We develop custom AI solutions and provide expert data annotation for banks, investment firms, and financial institutions. European data ethics, domain expertise, and quality you can audit.

98%+
Target accuracy on financial data annotation
3-5 Days
Pilot project delivery for risk assessment
GDPR
Compliant data handling processes
GDPR-Compliant Processes
European Data Sovereignty
Financial Domain Experts
TAILORED FOR FINANCE

AI Solutions That Understand Financial Complexity

From regulatory compliance to risk assessment, our specialized AI and data annotation services are built for the unique challenges of banking, investment, and financial services.

Document Intelligence

Extract and analyze data from complex financial documents with 99%+ accuracy. Process loan applications, contracts, and regulatory filings at scale.

Multi-format document processing
Regulatory compliance mapping
Real-time validation

Risk Assessment AI

Predict and prevent financial risks with advanced ML models trained on your specific risk profiles and regulatory requirements.

Credit risk modeling
Fraud detection systems
Market risk analysis

Transaction Monitoring

Real-time transaction analysis and anomaly detection for AML compliance and fraud prevention across millions of transactions.

Real-time anomaly detection
AML/KYC compliance
Pattern recognition

Customer Intelligence

Understand customer behavior, predict churn, and personalize financial services using advanced NLP and behavioral analytics.

Sentiment analysis
Churn prediction
Personalization engines

Financial Data Annotation

Expert annotation of financial datasets by domain specialists who understand banking terminology, regulations, and industry nuances.

Financial entity recognition
Transaction categorization
Regulatory text tagging

Compliance Automation

Automate regulatory reporting and compliance monitoring with AI that understands GDPR, MiFID II, Basel III, and other frameworks.

Regulatory change tracking
Automated reporting
Audit trail generation
WHY IT MATTERS

Financial Services Need Better AI Data

Banks and financial institutions are investing heavily in AI—but most projects fail due to poor data quality. The difference between a model that works and one that doesn't often comes down to annotation accuracy and domain expertise.

80%
Of AI project time spent on data preparation
3-6mo
Typical timeline for financial AI model deployment
70%
Of financial firms increasing AI investments in 2025
99%+
Target accuracy needed for production systems
Compliance-First Training Data
Every annotation project includes regulatory context from annotators who understand GDPR, MiFID II, and Basel frameworks.
Financial Document Expertise
From loan applications to prospectuses, our annotators understand financial terminology and can identify entities, clauses, and risk factors.
Transaction Pattern Recognition
Train fraud detection and AML models with properly labeled transaction data that includes context, not just binary classifications.

AI Adoption in Finance

AI adoption across financial services sectors
Based on industry surveys and deployment data
OUR APPROACH

Data-First AI for Financial Services

We help financial institutions build production-ready AI systems through expert annotation, domain-specific training data, and quality control processes designed for regulated environments.

Compliance Training Data

Multi-stage verification

Train AML and KYC systems with properly labeled transaction data that includes regulatory context. Our annotators understand compliance frameworks and can identify patterns across jurisdictions.

Fraud Detection Datasets

Pattern recognition focus

Label suspicious transaction patterns with context about fraud types, merchant categories, and behavioral anomalies. Build models that can detect new fraud methods, not just known patterns.

Document Processing Data

Financial document experts

Annotate loan applications, prospectuses, and regulatory filings with entity recognition, clause identification, and risk factor tagging. Our team understands financial document structure and terminology.

Risk Assessment Models

Domain-specific labeling

Create training data for credit risk, market risk, and operational risk models. Our annotators can classify risk factors, assign severity levels, and validate model outputs against regulatory requirements.

Customer Behavior Data

Sentiment & intent analysis

Label customer interactions, support tickets, and survey responses to build churn prediction and personalization models. Understand customer sentiment while maintaining privacy and compliance standards.

Synthetic Financial Data

Privacy-preserving datasets

Generate realistic synthetic transaction data, customer profiles, and market scenarios for model testing and development. Maintain statistical properties while ensuring complete privacy compliance.

Nordic Trust Meets Financial Excellence

With our foundation in one of the world's most regulated markets, YPAI delivers AI solutions that financial institutions can trust. We combine Scandinavian data ethics with deep expertise in financial compliance, fraud detection, and process automation to help you innovate safely while meeting stringent regulatory requirements.

EU-GDPR Compliant | SOC 2 Certified | Bank-Level Encryption

What Sets Us Apart


  • Financial Compliance Expertise

    Deep understanding of regulatory frameworks including AML, KYC, GDPR, PSD2, and MiFID II for financial institutions worldwide.


  • Seamless System Integration

    Our solutions integrate with all major financial platforms and core banking systems—no disruption to your existing IT infrastructure.


  • Flexible Deployment Options

    Choose from cloud, on-premises, or hybrid solutions to meet your specific security requirements and regulatory constraints.


  • Proven ROI for Financial Institutions

    Our clients typically see 3.7x return on AI investment with 40% reduction in operational costs and 60% fewer compliance errors.

PILOT PROJECT EVALUATION

Discuss Your Data Requirements

We'll review your annotation requirements and determine if a pilot project makes sense for your use case. No obligation to proceed.

Evaluation Process
1
Initial Review
We review your requirements within 1 business day
2
Technical Discussion
30-minute call to understand your data and use case
3
Sample Project
3-5 day annotation on your data (if suitable)
4
Quality Review
Evaluate results and discuss next steps
What We'll Discuss
Current annotation process and pain points
Data types, volume, and accuracy requirements
Timeline constraints and delivery expectations
GDPR and compliance requirements
Whether a pilot project is appropriate
Your contact information is only used to schedule a consultation. All project discussions are covered by NDA. Data processed in EU-based infrastructure.