MOURI Tech Implementation Approach
Use Case Discovery & Model Strategy
Identify high-impact business use cases and define the optimal mix of LLMs and SLMs based on accuracy, latency, cost efficiency, and data sensitivity.
Model Selection & Customization
Design and build LLMs and SLMs from scratch or select leading foundation and lightweight open-source models, and tailor them using enterprise-specific data, architectures, and performance requirements.
RAG & Knowledge Grounding
Enhance model responses through Retrieval-Augmented Generation (RAG), prompt engineering, and integration with enterprise knowledge sources.
Domain-Specific Fine-Tuning
Improve model accuracy and relevance through custom training and fine-tuning using proprietary, domain-aligned datasets while maintaining strict data controls.
Secure Deployment & Integration
Deploy custom-built or fine-tuned LLMs and SLMs within enterprise-approved infrastructure and seamlessly integrate with existing applications, APIs, and workflows.
Monitoring & Governance
Continuously monitor performance, cost, security, and compliance while optimizing models to ensure long-term reliability and scalability.