Finance
AI.
Precision data operations for financial AI teams — from document annotation and sentiment labeling to fraud detection datasets and model evaluation, with full NDA coverage.
What we do for Finance AI teams
Financial Document Labeling
Annotation of earnings reports, SEC filings, contracts, and financial statements for NLP model training.
Market Sentiment Annotation
Sentiment and intent labeling on financial news, analyst reports, and earnings call transcripts.
Fraud & Risk Classification
Transaction pattern labeling, anomaly tagging, and risk scoring annotation for fraud detection models.
Earnings Call Transcription
Accurate transcription and speaker diarization of earnings calls, investor calls, and analyst briefings.
Model Evaluation
Human evaluation of financial AI outputs — accuracy, compliance, and hallucination scoring by domain experts.
Data Security & NDA
Full NDA coverage, project isolation, and role-based access controls for sensitive financial data.
Use Cases
Financial AI demands accuracy, domain expertise, and strict data security. Our annotators are trained on financial terminology and work under full NDA with project-level isolation as standard.
Working on a Finance AI system?
Discuss your data requirements and we'll propose a pilot scoped to your use case.