Voxe is not a thin wrapper around a single model. It is a system that manages what the model sees, how it is called, what context is retrieved, and how cost and quality are controlled — with extension points for calendars, CRM, commerce, and MCP.
Fusion
Orchestration on every request — models, cost, usage, filtering
RAG
Embeddings + similarity retrieval; only top chunks reach the prompt
2–5 min
URL → knowledge base, workflow, inbox, and live chatbot
Engineering teams adopt AI support when the stack is inspectable: clear request path, measurable cost, swappable providers, and retrieval that stays tied to your docs. Voxe is designed so each layer fixes a failure mode of uncontrolled LLM deployments — from unbounded context to silent cost growth.
Architecture you can build on
Submit a business URL: the pipeline analyzes the site, generates structured knowledge, instantiates a system message and workflow, provisions a helpdesk inbox, and deploys a branded chat page. Dynamic and JS-heavy sites are handled automatically — your integration surface is the workflow and APIs Voxe exposes, not a one-off scraper script.
Fusion, NeuroSwitch, RAG
Fusion’s model abstraction means switching providers or tiers is a configuration change. NeuroSwitch can optionally route by cost, latency, or complexity at scale — default path stays simple: message → Fusion → model → response.
Each call carries cost, tokens, timing, and context into the usage layer that feeds dashboards and billing. Caps apply at infrastructure depth instead of bolting limits on after the fact.
MCP servers you control expose typed tools; Voxe authenticates and links them into the agent workflow. Standard integrations cover common CRM and commerce APIs for the same conversation runtime.
RAG boundaries keep prompts bounded: similarity thresholding, chunk caps, and escalation when nothing matches — reducing ungrounded completions compared to raw chat-with-docs patterns.
Native connectors, live business data, and MCP for everything else.
Calendar & scheduling APIs
Google Calendar OAuth, business hours, buffers, Meet links
Workflow calendar tools call availability and booking endpoints; configuration (hours, holidays, limits) lives in product settings. Same pipeline described in our calendar deep dive — suitable for demos, callbacks, and consultations.
CRM & commerce data
Orders, contacts, shipment status during chat
Direct API integrations let the agent query live records mid-conversation. Pair with RAG for policy text so answers combine documentation with current system state.
Custom tools via MCP
Internal pricing, legacy DB, proprietary vertical APIs
Host an MCP server; Voxe connects with bearer, headers, or OAuth2, encrypts secrets, and registers tools for the agent. You define the surface area — the protocol stays consistent.
Sizing RAG storage for engineering planning — per the Voxe architecture documentation.
| Tier | Max document size | Total documents |
|---|---|---|
| Starter | 10 MB | 50 |
| Team | 25 MB | 100 |
| Business | 100 MB | 1,000 |
| Enterprise | 500 MB | Unlimited |
Most deployments use the fast path: every request flows through Fusion with a single model selection appropriate for general support. When traffic and API spend grow, NeuroSwitch can analyze each message and route to the most efficient model while Fusion still enforces tracking, cost control, and filtering.
Escalation adds a Holding AI stage with configurable assignee, team, and supervisor thresholds before the human agent sees the full thread in the helpdesk.
“Every layer of the architecture exists to solve a specific failure mode of AI deployed without controls.”
From the Voxe technology overview — same principles we apply to APIs, retrieval, and workflow nodes.
Open architecture articleTechnical FAQ aligned with the platform architecture.
Deep dives on Fusion, MCP, and calendar pipelines.
Voxe is not a chatbot tool — it's an AI infrastructure system that manages what the model sees, how it responds, and how cost and performance are controlled at every layer of the stack.
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Standard integrations cover the common platforms. The MCP Client integration covers everything else — your internal databases, custom APIs, and proprietary tools — giving your AI access to your entire business context.
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Most AI chat tools answer questions and stop. Voxe's calendar pipeline goes further — checking real availability, presenting slots, and confirming bookings with a Google Meet link, without a human in the loop.
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