Private AI workspace on your hardware

Pryveo

Local AI with built-in privacy rails

Run models, workflows, and apps entirely on-device. Keep data private, manage permissions, and ship custom AI experiences without touching the cloud.

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Architecture, Not Hype

A privacy-first stack that keeps inference, memory, and apps on your device - with explicit guardrails at every step.

Client

Local workstation

No cloud dependency

Inference Runtime

GPU/CPU optimized

Fast local models

Private Memory

Semantic vault

RAG-ready storage

App Sandbox

WASM isolation

Scoped permissions

Permission Gate

Explicit access

User-controlled

Client

Everything starts on-device. Your prompts, documents, and code never leave your machine.

Runs entirely on your hardware

No API keys or accounts required

Offline by default with zero tracking

Your data stays in your control

Built for Local Trust

Pryveo combines privacy, performance, and flexibility so your AI stack stays under your control.

Privacy, Enforced

Pryveo treats privacy as an architecture constraint, not a marketing promise.

Transparent by Design

Every app declares exactly what it can access.

Permission Guardrails

Granular permissions stop silent data exfiltration.

Local-Only by Default

No hidden network calls or telemetry pipelines.

Fast on Real Hardware

Optimized runtimes keep latency low without the cloud.

Private Workspace

Your data never leaves your device

Everything stays on your machine - prompts, documents, and results. No silent uploads, no telemetry, no cloud dependencies.

Zero network calls by default

No accounts, tokens, or API keys

Full local storage control

Offline-first by design

Use Cases That Stay Local

Pryveo is built for teams that need real AI capability without leaking data.

01

Private RAG for Docs

Search and summarize sensitive PDFs, contracts, and internal wikis without leaving your device.

Outcome

Keep IP and client records fully on-device.

02

Local Code Review

Analyze repos, refactor safely, and generate tests with zero repo uploads or external APIs.

Outcome

Ship faster without exposing source code.

03

Regulated Workflows

Keep client data on-device while still giving teams fast, modern AI copilots.

Outcome

Align with compliance while boosting productivity.

04

Security Research

Audit logs, malware samples, and traces without exposing sensitive artifacts.

Outcome

Investigate threats without external exposure.

Security and Permissions

Pryveo treats privacy as infrastructure. Apps run with explicit, inspectable access rules.

Permission Gate

Every app declares exactly what it can access, with user-controlled approvals.

Local-Only Defaults

No network calls unless you explicitly allow them. Privacy is the default state.

Transparent Auditing

Review app manifests, storage usage, and access logs at any time.

Deterministic Runtime

Sandboxed execution with predictable resource limits and isolation.

App Manifest

Explicit Access

Declare storage, models, clipboard, and filesystem access. Nothing runs without your approval.

Sandbox

Isolated Execution

Each app runs in a WebAssembly environment with resource caps and zero implicit network access.

Visibility

Audit Trails

Track usage, review permissions, and revoke access instantly from the dashboard.

Real Performance, On Your Hardware

Tune models for speed or depth without relying on external APIs or rate limits.

Latency
< 200ms

Local streaming start

Throughput
35+ tok/s

On modern GPUs

Context
128K

Configurable windows

Hardware Profiles

Laptop

CPU: Apple M2 / i7

GPU: Integrated

Memory: 16-32 GB

Workstation

CPU: Ryzen 9 / i9

GPU: RTX 4070

Memory: 64 GB

Server

CPU: EPYC / Xeon

GPU: A100 / H100

Memory: 256 GB

Build an App in Minutes

The Pryveo SDK gives developers a secure, local stack without sacrificing velocity.

Create

Scaffold a new Pryveo app with the CLI and choose a starter template.

Declare

Define permissions, models, and storage in an explicit manifest.

Ship

Package the WASM app and distribute it privately or to your team.

Example
pryveo new secure-assistant

[permissions]
storage = true
clipboard = false
network = false

[models]
default = "llama3-8b"

Built With Early Teams

We are partnering with privacy-first teams to shape the next generation of local AI tooling.

Design Partner

"Pryveo lets our team run sensitive reviews without any cloud exposure. It is the first local stack that feels production ready."

Security Research Lead

Early Team

"We shipped a private RAG workflow in days. The permissions model makes compliance reviews painless."

Legal Ops Director

Trusted By
Stealth AI Labs
Security Research Groups
Legal Operations Teams
Healthcare Innovators
Developer Tooling Startups
Enterprise RAG Teams

FAQ

Short answers to common questions about privacy, models, and building.

Ask a Question
Does Pryveo ever send data to the cloud?

No. Pryveo runs locally by default and does not transmit data unless you explicitly allow network access.

Which models are supported?

Pryveo supports popular open-source models that run locally, with optimized runtimes for GPU and CPU.

Can teams manage permissions centrally?

Yes. Permissions are explicit and auditable per app, making it easy to review access policies.

How do custom apps work?

Apps are packaged as WASM with a manifest that declares permissions, models, and storage.