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AI for Financial Document Classification & Regulatory Review
Beag Labs builds custom small language models (500M-5B parameters) for financial document classification and regulatory review. Trained on your data, deployed on-prem or in your VPC. No APIs, no data leakage, you own the model.
What you can automate.
Research relevance filtering
Filter research documents and analyst reports by relevance to specific sectors, instruments, or themes.
KYC document review
Classify and extract key fields from KYC documentation to streamline onboarding and remediation workflows.
Regulatory filing classification
Categorize regulatory filings by type, regulator, and reporting period for faster compliance review.
Transaction monitoring classification
Classify transaction alerts by risk tier and typology to prioritize investigator attention.
Why teams choose Beag Labs.
- ✓Fraction of frontier API cost
- ✓Real-time classification
- ✓Consistent regulatory compliance
- ✓No data leakage to third parties
Built for your security requirements.
Discuss your financial AI use case
Talk to us about your classification, extraction, or relevance workload. We'll show you how a custom SLM deployed in your environment beats a frontier API on cost, speed, and privacy.