Financial Services AI Data
Precision-labeled training data for intelligent document processing, fraud detection, regulatory compliance, and financial NLP — built for banks, insurers, and fintech innovators.
Train Smarter Financial Models
Financial institutions are deploying AI across every function — from loan origination and claims processing to anti-money laundering and market surveillance. Centric Labs provides the high-quality labeled data these models require, with annotators trained in financial terminology, document structures, and regulatory frameworks.
- Document parsing for contracts, statements, and filings
- Transaction classification and anomaly labeling
- PII redaction and data masking for compliance
- Sentiment and intent labeling for financial text
- SOC 2 aligned security and encrypted data handling
Financial AI Annotation Services
Domain-expert labeling across banking, insurance, capital markets, and fintech.
Intelligent Document Processing
Key-value extraction, table parsing, and layout analysis for bank statements, tax forms, invoices, and insurance claims. We handle multi-page, multi-format documents with complex nested structures and handwritten fields.
Fraud Detection
Transaction labeling for fraud vs. legitimate patterns, synthetic identity detection, and account takeover classification. We create balanced, representative datasets that reduce false positives while catching real fraud signals.
Regulatory Compliance
Entity extraction and clause classification for KYC/AML, sanctions screening, and regulatory filing analysis. Our annotators label counterparty relationships, beneficial ownership chains, and compliance-relevant risk factors.
Market Sentiment
Sentiment, topic, and intent labeling across earnings calls, analyst reports, news articles, and social media for trading signal generation and risk monitoring. We capture nuanced financial sentiment beyond simple positive/negative.
Insurance Claims
Damage assessment annotation for property and auto claims, medical record extraction for health claims, and document classification for claims triage. We train adjusters' AI assistants that accelerate claims resolution.
Conversational Banking
Intent classification, entity extraction, and dialog flow labeling for banking chatbots and virtual assistants. We annotate customer queries across account management, payments, loans, and investment products.
Built for Financial Regulation
We understand that financial data carries strict regulatory obligations. Our workflows include automated PII detection, data masking, and role-based access controls. We work within your compliance framework — whether that's SOX, PCI-DSS, GDPR, or regional banking regulations.
- PCI-DSS aware data handling for payment data
- Automated PII/PFI masking before annotation begins
- NDA-bound, background-checked annotation teams
- Data residency options for US, EU, and GCC regions
Transform Your Financial AI with Better Data
Whether you're building document AI, fraud models, or compliance automation — start with a free pilot to see our quality firsthand.