The unsolved one
Private
Everyone claims it. Nobody publishes the number: how much of a prompt is actually recoverable from what a node sees.
Private inference network
Private inference,
actually proven.
Uncensored and decentralized — and the first network built to prove your prompts stay private.
01 / The problem
Sharding solved size. Not privacy.
Split a model across strangers' GPUs and every node still touches raw activations — enough to reconstruct pieces of a prompt.
02 / How it leaks
A request crosses machines you don't control.
Every node handles real activation tensors. Noviq exists to quantify that exposure — and close it.
Decentralized
Anyone's GPU, pooled into swarms. No datacenter.
Uncensored
Any model. No content-policy layer in the way.
Privacy isn't a feature to bolt on later. It's the open problem — and the one Noviq exists to close.
03 / Product
Three ways into the network
Recommended
Native Worker
Background GPU via Ollama or vLLM. The biggest models, the highest pay.
$0.10–0.14 / job
npx @noviq/worker --token YOUR_TOKENZero install
Browser Worker
In-tab inference via WebGPU. One click, no terminal.
$0.07 / job
User side
OpenAI-compatible API
Drop-in chat completions. No logging, pay per token.
Per token
curl https://api.noviqai.xyz/v1/chat/completionsPrivate inference economy
The $NOVIQ token
What crosses the chain is metering. What never leaves the job is your prompt.
Metered, not monitored
Tokens are the billing unit. No prompt history, no profiles.
Treasury funds privacy
30% of every settlement underwrites the research that proves it.
Stake $NOVIQ
Align with the network and govern its privacy parameters.