Get the 2026 ML Training Cookbook | 52 recipes — GRPO, Flow Matching, World Models, and everything in between Download Now →
Domain-specific AI for regulated industries.
Custom small language models for classification, extraction, and relevance — trained on your data, deployed on your infrastructure. No APIs. No data leakage. You own the model.
AI for Legal Document Classification & E-Discovery
Beag Labs builds custom small language models (500M-5B parameters) for legal document classification, e-discovery, and extraction. Trained on your matter data, deployed on-prem or air-gapped. No APIs, no data leakage, you own the model.
- ■E-discovery relevance classification
- ■Privilege review triage
- ■Contract clause extraction
- ■Regulatory filing categorization
AI for Clinical Document Triage & Healthcare Classification
Beag Labs builds custom small language models (500M-5B parameters) for clinical document triage and healthcare classification. Trained on your data, deployed in HIPAA-compliant environments — on-prem, air-gapped, or in your VPC. No PHI sent to external APIs.
- ■Clinical document triage
- ■Adverse event classification
- ■Prior authorization extraction
- ■FDA submission categorization
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.
- ■Research relevance filtering
- ■KYC document review
- ■Regulatory filing classification
- ■Transaction monitoring classification
AI for Intelligence Report Categorization & FOIA Triage
Beag Labs builds custom small language models (500M-5B parameters) for intelligence report categorization and FOIA triage. Deployed air-gapped with no external network dependencies. Full model ownership — you export the weights. No cloud dependencies.
- ■Intelligence report categorization
- ■FOIA triage
- ■Classified document handling
- ■Air-gapped deployment