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Build a More Autonomous Tomorrow

Private AI. Full control.

On-premise AI hardware with every layer preinstalled — models, governance, a sandbox, and agent building — so your data and inference never have to leave the building.

Raytone AIBox and Spark Appliance

Private infrastructure. Local control.

Raytone AIBox is a compact edge appliance for lighter, always-on AI workloads at the point of use — small footprint, plug-and-run.

Spark Appliance is the full-power option: models, governance, a sandbox, and agent building all preinstalled on one machine, built on NVIDIA DGX Spark hardware — powerful enough to run a 35B-parameter model with a 256K context window, entirely on your own network.

128 GB unified memory
256K context window
1.2 kg, 150×150×50.5mm
Everything Preinstalled

Four integrated layers. One private AI system.

🧠
On-Box LLM
35B primary model, 256K context. Inference stays on the box — one-click Model ROM install.
🛡️
Token Governance
Per-app attribution and metering, redaction, admission and quota, with an OpenAI-compatible endpoint.
🧪
AgentSphere Sandbox
A dedicated execution environment for agents, with isolation and network rules per delivery plan.
🧩
Agent Studio
Chat-first agent building: an Agent Marketplace of ready-made capability, plus AgentCanvas for configuring interaction.
🔐
Local By Default
Cloud routing off by default — while it stays off, content and inference never reach a third party.
📦
Fixed-Capacity Hardware
No usage-spike bills. Pack it up and take it to customer sites or trade shows.
Private AI system four integrated layers

Built for when data shouldn't leave the room.

Ideal for organisations where data should not go to the cloud, latency matters, a local processing loop is required, or demos need to run fully on-site.

Typical uses span knowledge-base Q&A, domain-specific assistants, meeting transcription, long-document review, and a shared team "second brain" — all with citations tracing back to source documents.

Energy
Finance
Healthcare
Manufacturing
Public Sector

Want AI infrastructure that stays on your network?

Tell us about your use case and data requirements — we'll help you size the right appliance.

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