LLM Pipeline
A containerized LLM runtime with a model registry, prompt registry, and model router that selects the right model for each task. Symphony is model-agnostic — it delivers lower inference cost, higher accuracy, and audit-ready compliance than general-purpose large language models alone.
RAG Knowledge Fabric
A vector database over an enterprise knowledge base — clinical guidelines, policy documents, and operational data. Symphony grounds every agent decision in real, current enterprise knowledge rather than general AI training. Grounded answers, not guesses.
Responsible AI Plane
Policy enforcement, business-logic validation, continuous evaluation, and audit logging — running across every agent execution. AI that is ethical, explainable, and compliant by construction. Not as an add-on. Not as a review layer. Built into execution itself.
Domain-Specific Agents
Symphony doesn't run generic agents. It runs named, purpose-built agents for the specific workflows that regulated industries require.