What we do

We design and deploy secure, domain-tuned RAG AI systems for healthcare, strategic foresight, and compliance.

Retrieval-Augmented Generation (RAG) pairs large language models (ChatGPT 5, Claude Opus 4, DeepSeek ect.) with secure trusted knowledge. For each query, it first retrieves the most relevant passages from approved documents, databases, or APIs, then uses that evidence to condition the model’s response—producing answers that are accurate, current, and source-grounded without retraining.

At Omnimem.io, we deploy secure, domain-tuned RAG on your private data (healthcare, foresight, compliance) with citations, governance (e.g., GDPR/MDR), and seamless workflow integration.