Private AI inference

Instant local inference.
Infinite cloud scale.

A native on-device runtime built on Apple Silicon that bursts seamlessly to the cloud with a single line of code. Your data never leaves the device — compliant by architecture.

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main.rs
use onde::inference::{ChatEngine, GgufModelConfig};
 
let engine = ChatEngine::new();
engine.load_gguf_model(
    GgufModelConfig::platform_default(),
    Some("You are a helpful assistant.".into()),
    None,
)
    .await?;
 
let result = engine.send_message("Hello!").await?;
println!("{}", result.text);
// completed in 85ms — 100% on device

In production across

01 / Edge Compute

Zero latency.
Zero cost margin.

Compiled natively in Rust, Swift, or Flutter. Runs directly on Apple Silicon unified memory. 85 ms first-token latency, absolute privacy, and zero server overhead for every local workload.

  • 85msFirst-token latency
  • $0Server cost on-device
  • 100%Data stays on device

02 / Cloud Fallback

Seamless fallback.
Enterprise state.

When the local model hits its limit, Onde bursts to high-performance cloud compute. Heavy-parameter routing, global state sync, and ironclad privacy compliance — transparent to your users.

DeviceApple Silicon · on-device
Token throughputState syncAES-256
Onde Cloudcloud.ondeinference.com
OpenAI-compatibleDrop-in endpoint for any client already using the OpenAI API.
App-scoped authBearer credentials are scoped per app. No shared secrets.
Global state syncConversation context follows the user across device and cloud.

Security · Compliance

Compliant by
architecture.

Most inference vendors send your users' data to a shared GPU fleet, then ask you to trust the paperwork. Onde runs the model in-process on the device. There is no prompt to intercept, no transcript to subpoena, no third party in the data path.

No data egressInference stays on-devicePrompts, tokens, and results never touch the network. The only call is a one-time model download.
GDPR · HIPAARegulation-ready by defaultNo PII or PHI leaves the user's hardware, so data-residency and processing-agreement burden drops to near zero.
AES-256Encrypted cloud burstWhen a workload bursts to Onde Cloud, transport is encrypted and auth is scoped per app — no shared secrets.
No trainingYour data is never trained onCustomer prompts and completions are never used to train or tune any model, on-device or in the cloud.

Solutions

Built for teams that
can't leak data.

Healthcare

PHI never leaves the device

Run clinical assistants, scribing, and triage on the clinician's own iPad or Mac. No BAA gymnastics for the inference path.

Financial services

Zero data-egress AI

Summarize, classify, and draft against sensitive records without a single token crossing your network boundary.

Consumer apps

Private & offline by default

Ship assistant features that work on a plane, cost nothing per call, and keep user data on the user's phone.

Regulated & public sector

Sovereign by design

Data residency is wherever the device is. Pair on-device defaults with an encrypted cloud burst only when you choose.

Write once.
Deploy everywhere.

One engine. Four first-class entry points. No platform story, no abstraction tax.

SwiftApple platforms · SPMRustNative · crates.ioReact NativeMobile · npmFlutterCross-platform · pub.dev

Powering Splitfire AB apps in production on the Apple App Store.

Enterprise

Ship it with a team
behind you.

Volume licensing, custom and fine-tuned models, dedicated cloud capacity, security review support, and a direct line to the engineers who build the runtime.

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The world's intelligence.
On your terms.

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