Next-Gen AI Orchestration
The Brain Behind
Zyntia Engine
Engineering a true agentic experience. From lightning-fast RAG pipelines to complex workflow orchestration, designed for independence and deep integration.
Interactive Architecture
Switch between processing modes and hover over nodes to explore the underlying engineering.
User Input
Natural language query.
RAG Context
Vector search data.
Active Tools
Sequential execution.
Fast Response
Minimal latency output.
Execution Engine
Built for Pure Independence.
A proprietary Node Graph engine that handles state, isolation, and tool orchestration natively in Python. Explore each execution step below.
Step 1 — Tenant Validation
1async def run(self, flow: FlowDefinition,2 context: ChatContext):3 # 1. Identity & Tenant Validation4 await self.validate_tenant(context.tenant_id)
Zero cross-tenant data leakage.
Ready to scale?