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Synoptix.AI

Every query, optimised before it runs.

The engine room beneath every agent and workflow. It decides how each request runs which model, what memory, what cost so performance holds at production scale, not just in a demo.

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Synoptix platform preview showing model routing, integrations and chat interface

One request. One plan.
Every step coordinated.

A goal arrives in plain language. The orchestrator decomposes it, plans the route, and holds shared state across every step — retrieval, reasoning, skills, tool calls, validation. Not a chain of prompts. A planning layer.

Orchestrator flow — an incoming request is decomposed into retrieve, reason, skills, tool call and validate steps

Bigger prompts aren’t the answer. Governed memory is.

Large context windows cost more and still forget when the session ends. Synoptix gives agents layered memory across working, long-term and semantic, so recall is cheap, relevant and grounded in your ontology.

Layered memory diagram — long-term, working and semantic memory connected around a central brain

124+ models. One interface. Zero lock-in.

GPT, Claude, Gemini, Llama, your own fine-tuned model — routed per workflow node by cost, capability, or latency. Benchmark a new model on your own data before promoting it. Swap without touching workflow logic or governance.

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Model Context Protocol diagram showing workflow integration across Slack, Google Drive, and GitHub

No Single Flow Fits Every Use Case

Route each use case to the right model, tool, and workflow based on cost, speed, risk, and performance.

Diagram showing an orchestrator routing requests to retrieve, reason, skills, call tool and validate steps, then comparing one-model-for-everything cost versus right-sized routing cost
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