Generative AI & Large Language Model Engineering
Generative AI is redefining what is possible in automation, content, and customer experience. MATIC's Generative AI practice helps organizations move beyond experimentation to production-grade AI applications — built on the world's leading foundation models and delivered through secure, enterprise-ready architectures.
What we deliver
-
Retrieval-Augmented Generation (RAG) architecture design and implementation
-
Prompt engineering, evaluation frameworks, and prompt libraries
-
LLM fine-tuning and domain adaptation (LoRA, RLHF)
-
AI agent and copilot development using Azure Copilot Studio, Amazon Q, and Vertex AI Agent Builder
-
Vector database design and semantic search (Azure AI Search, Pinecone, Weaviate)
-
Enterprise Generative AI governance — access controls, data privacy, and content safety
Platform expertise
-
Azure OpenAI Service — GPT-4o, DALL-E, Whisper, and Copilot Studio
-
Amazon Bedrock — Claude (Anthropic), Llama, Titan, and Stable Diffusion
-
Google Vertex AI — Gemini 1.5 Pro, Imagen, and Chirp
Engagement Models
