AI Architecture & LLM Systems

We design modern AI architectures that integrate LLMs, embeddings, vector search, retrieval pipelines, and orchestration layers. Our focus is on scalability, reliability, and maintainability — ensuring your AI systems can evolve as models improve.

Architecture work includes model selection, prompt strategies, caching layers, containerization, vector database design, streaming ingestion patterns, security controls, and integration with existing enterprise systems.

We ensure your stack is cloud-ready, vendor-agnostic where possible, and optimized for performance and cost.

What we deliver

• End-to-end AI system blueprints (LLMs, retrieval, ranking, and routing)
• RAG and hybrid RAG-search architectures for internal or customer use
• Vector database schema design and performance tuning
• Model orchestration and evaluation pipelines
• Monitoring, observability, and governance patterns