The unified AI infrastructure
for applied intelligence.
Synapse is ErisAI's deployment-ready intelligence layer: models, memory, retrieval, and operational controls working as one unified infrastructure. Deployed within your environment. Built on research. Designed for production.
Not a model.
A Unified Intelligent System.
Most AI tools begin with a model call. Synapse begins with infrastructure: external knowledge, staged retrieval, conversation memory, routing, verification, and deployment controls working together as one implementation layer.
Grounded Answers
Responses traced to your documents, not model memory.
Adaptive Routing
Queries follow the right path: retrieval, memory, execution, or generation.
Conversation Memory
Sessions retain topic, entity, and context continuity across turns.
Controlled Knowledge
Your knowledge bases are isolated, versioned, and deployment-ready.
What changes when Synapse is deployed.
Your documents. Your answers.
Synapse answers from approved knowledge, not public training data. Every response is traceable to a source inside your deployment.
Better context, fewer gaps.
Synapse combines multiple retrieval signals to find the right context across large document libraries: policies, records, archives, and operational knowledge.
Right path for every request.
Synapse routes each request to the right processing path: improving speed, reducing cost, and avoiding unnecessary generation.
Conversations that actually continue.
Sessions retain topic, entities, and context across turns, so follow-up questions work naturally in real deployments.
Bring your model. Or ours.
Synapse is model-agnostic: use ErisAI's default models or connect your preferred LLM while the infrastructure layer stays consistent.
Production-grade from day one.
Synapse is built for real organizational use: concurrent users, large knowledge bases, parallel sessions, and deployment conditions beyond the demo.
Synapse is designed for private infrastructure: deployed within your environment, without shared knowledge spaces or uncontrolled data routing.
Each knowledge base, session, and deployment remains isolated. Your data stays separate from every other organization.
Every response can be traced to source knowledge inside your deployment. No black-box answers.
Every request takes the right path.
This is what separates Synapse from an LLM wrapper.
Read how Synapse was designed as a research-driven AI system beyond the base model.
Read the research →Deploy Synapse
in your organization.
Start with a discovery conversation around your infrastructure, goals, knowledge environment, and deployment readiness.