Unlock the business logic trapped in your legacy systems by training AI to understand their unique languages.
Services
Legacy System Language AI Integration
Specialized training of language models to understand and interact with legacy system documentation, mainframe outputs, and proprietary data formats, bridging the gap between old systems and modern AI interfaces.
DOMAIN-SPECIFIC LANGUAGE MODEL (DSLM) TRAINING
Legacy System Language AI Integration
Your COBOL, mainframe logs, and proprietary documentation contain irreplaceable business rules. Generic AI fails here. We train custom language models on your specific legacy formats, creating an intelligent bridge to modern applications.
Reduce the time to query legacy data by 80% and enable natural language interfaces for systems built decades ago.
- Model Training on Proprietary Formats: We fine-tune models like
Llama 3orMistralon your JCL scripts, AS/400 outputs, and custom data schemas. - Secure, On-Premises Processing: Training occurs in your environment using air-gapped infrastructure or confidential computing (TEEs) to meet data sovereignty requirements.
- Integration with Modern Stacks: Deploy the trained model via APIs into your RAG infrastructure or enterprise copilots, allowing teams to ask questions in plain English.
This service is part of our broader Domain-Specific Language Model (DSLM) Training pillar, which also includes Proprietary Codebase Language Modeling. For securing the entire deployment pipeline, explore our Confidential Computing for AI Workloads services.