Financial AI data built for
programs regulators will scrutinize.
Regulatory document classification, fraud signal annotation, and financial NER require annotators who understand the domain. We provide domain-expert annotators, SOC 2 compliant infrastructure, and regulatory text coverage across 155+ locales.
Where financial AI programs break down.
Financial AI annotation requires contributors who can distinguish a material risk disclosure from a forward-looking statement, and who understand that the same regulatory obligation reads differently in German, Mandarin, and Portuguese. General-purpose annotation vendors do not have this workforce.
Domain-naive annotators on regulated content
Fraud signal labeling, regulatory clause classification, and earnings sentiment analysis require financial domain knowledge. Without it, annotation inconsistency is systematic rather than random, and difficult to detect until model performance fails in production.
Compliance infrastructure that does not meet financial-sector standards
SOC 2 Type II, GDPR, FCA, and SEC data governance requirements apply to annotation pipelines processing regulated financial information. Most vendors cannot demonstrate record-level compliance documentation for financial data handling.
English-only annotation on multi-jurisdiction regulatory content
Regulatory terminology across MiFID II, FCA, and SEC frameworks diverges in ways that translation cannot bridge. In-country annotators with native-language regulatory expertise are required to produce accurate classification across jurisdictions.
Use cases for financial AI teams.
Regulatory Document Classification and NER
Named entity recognition and classification applied to regulatory filings, compliance documentation, and financial agreements. Tags entities, obligations, deadlines, and risk indicators across SEC, FCA, MiFID II, and GDPR frameworks.
Fraud Signal and Transaction Intent Annotation
Transaction sequence labeling, behavioral pattern tagging, and textual descriptor classification for fraud detection training data. Annotators are matched to fraud and risk domain backgrounds for each program.
Earnings and Financial Sentiment Analysis
Annotation of earnings call transcripts, analyst reports, and financial news for sentiment classification, forward-looking statement extraction, and material signal identification across global capital markets.
Financial Document Intelligence and RAG Validation
Annotation and structuring of prospectuses, credit agreements, and regulatory submissions for retrieval-augmented generation validation and document intelligence training pipelines.
Search Relevance for Financial Information Platforms
Query-result relevance judging for financial research platforms, data terminals, and FinTech applications, with multilingual evaluation across 155+ locales by annotators with financial domain knowledge.
Financial AI Model Evaluation
Multidimensional benchmarking of financial AI systems across reasoning accuracy, regulatory alignment, domain knowledge depth, and safety, with side-by-side analysis against prior model versions.
Financial data types we annotate.
Regulatory and Compliance Documents
Filings, compliance documentation, financial agreements, and regulatory submissions annotated with financial NER, obligation classification, and risk indicator tagging across SEC, FCA, and MiFID II frameworks.
Structured Transaction Data
Transaction sequences, behavioral datasets, and financial records labeled for fraud detection, credit risk modeling, and anomaly identification by annotators with financial domain backgrounds.
Financial Text and Market Data
Earnings transcripts, analyst reports, financial news, and market commentary annotated for sentiment classification, forward-looking statement extraction, and material signal identification.
Multilingual Regulatory Content
Regulatory and compliance text across 155+ locales annotated by in-country financial domain experts with native-language regulatory knowledge, not translated from English source documents.
Four reasons financial AI teams choose Welo Data.
Domain-expert annotators with financial and regulatory backgrounds.
Programs requiring financial annotation are staffed with annotators who have financial domain backgrounds: regulatory, compliance, analyst, and accounting expertise matched to the task type. Background verification runs through our NIMO platform before production access is granted.
SOC 2 Type II and ISO 27001 infrastructure designed for regulated data.
Data handling pipelines are built to SOC 2 Type II, GDPR, FCA, and SEC governance requirements. Audit-ready compliance documentation is a standard program deliverable. Secure facility and clean-lab configurations are available for the most sensitive financial programs.
NIMO: OFAC checks and adverse media screening at the annotator level.
For regulated financial data, annotator vetting cannot stop at identity verification. Our NIMO platform runs OFAC checks, adverse media screening, and politically exposed person screening on every contributor before production access, with continuous behavioral monitoring throughout.
Regulatory annotation in 155+ locales, jurisdiction by jurisdiction.
We staff in-country financial domain annotators who have native-language expertise in the regulatory frameworks of their jurisdiction. Each locale is built from ground-level financial expertise, not adapted from English annotation guidelines.
What financial AI buyers ask us.
All annotators on financial programs are vetted through NIMO, which runs identity verification, OFAC checks, adverse media screening, and politically exposed person screening before production access. Domain-expert annotators handle tasks requiring financial expertise. SOC 2 Type II and ISO 27001 certifications apply to all data handling.
Regulatory document annotation is staffed by annotators with compliance and financial legal backgrounds. Earnings and sentiment programs use annotators with financial analysis expertise. Fraud signal annotation uses contributors with risk and fraud domain knowledge. All background verifications run through NIMO before production access.
155+ locales with in-country annotators who have native-language regulatory expertise in their specific jurisdiction. Regulatory terminology and compliance obligations are annotated as they exist in each jurisdiction, not translated from English.
SOC 2 Type II and ISO/IEC 27001 certified infrastructure applies to all financial programs. Secure facility and clean-lab delivery configurations are available. All annotators execute NDAs and complete identity verification before program access.
Yes. We operate programs across EU (GDPR, MiFID II), UK (FCA), and US (SEC) frameworks concurrently. In-country annotators with jurisdiction-specific regulatory expertise handle each market, ensuring classification accuracy reflects the actual legal standards of each target jurisdiction.
Financial AI data that holds up under regulatory scrutiny.
Domain-expert annotators. SOC 2 compliant infrastructure. Regulatory text across 155+ locales.