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

Deep customer insights through sentiment analysis, behavior prediction, and personalization models that respect privacy.

  • Sentiment analysis
  • Churn prediction
  • Privacy-safe personalization

Financial Data Annotation

Expert annotation services from domain specialists who understand financial terminology, regulations, and document structures.

  • Entity extraction
  • Document classification
  • Relationship mapping

Compliance Automation

Automate regulatory reporting and compliance monitoring with AI that understands evolving financial regulations.

  • Regulatory change tracking
  • Impact assessment
  • Audit trail automation

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 Financial Services

Based on industry surveys and deployment data

PILOT PROJECT EVALUATION

Discuss Your Data Requirements

1

Initial Review

1 business day

2

Technical Discussion

30-minute call

3

Sample Project

3-5 day annotation

4

Quality Review

Final validation

Start Your Pilot Project

Free evaluation with your actual data

GDPR-compliant EU data residency Full audit trail