Domain Model & Knowledge Intelligence
Specialized AI systems, RAG, evaluation, fine-tuning, and knowledge architecture for business domains.
Specialized AI for High-Value Knowledge Work
Fine-tuning is one tool inside a broader knowledge intelligence agenda. The right answer may be retrieval, evaluation, model adaptation, workflow context, or a combination of all four.
RDMI helps teams decide when to use RAG, domain models, structured extraction, knowledge graphs, or fine-tuned models based on measurable accuracy, cost, latency, privacy, and governance needs.
The goal is AI that understands the business context well enough to support real knowledge work without creating uncontrolled risk.
How We Build Domain AI Systems
A structured methodology that ensures predictable, high-quality outcomes.
Use-Case & Eval Design
Define the decisions, documents, answers, and accuracy benchmarks before choosing a model strategy.
Knowledge Architecture
Design retrieval, structured data, model adaptation, and policy controls around business knowledge sources.
Production Assurance
Measure quality, monitor drift, tune cost and latency, and create governance for ongoing improvement.
Ready to shape the AI agenda?
Tell us where this capability needs to create value. We'll respond within one business day with a focused point of view.