baml-codegenv2.0.0

Extract structured invoice data like total amount, date, and vendor from scanned PDFs or images. BAML generates type-safe Python code with validation rules, ensuring accurate parsing for accounting automation.

Automatically categorize incoming support tickets into predefined categories such as billing, technical, or feedback. BAML creates a classification model with fallback clients for reliability, integrating into helpdesk systems.

Extract product attributes like brand, color, and price from images and audio descriptions for e-commerce platforms. BAML generates code handling image and audio inputs, optimizing for token usage in RAG workflows.

Parse patient records and medical forms to extract structured data such as diagnoses and medications, with validation for compliance. BAML produces TypeScript code for web-based healthcare applications with high accuracy.

Identify key clauses, parties, and dates in legal contracts using LLM extraction. BAML generates Ruby or Go code with retry policies for handling complex, lengthy documents in law firms.

Offer a cloud-based service where developers use BAML to generate and deploy type-safe LLM workflows via API. Revenue comes from subscription tiers based on usage volume and support for advanced features like multimodal inputs.

Provide consulting services to large enterprises for integrating BAML into existing systems like CRM or ERP. Revenue is generated through project-based fees, training, and ongoing maintenance contracts.

Distribute BAML as open-source under Apache 2.0, while monetizing premium tools such as advanced MCP servers, enhanced testing suites, or managed cloud deployments for teams.