Security first on-device AI.
We make model theft futile.
Niter unlocks highly lucrative on-device AI, by protecting your IP and removing the dependency of expensive cloud infrastructure.
On-device AI models face a fundamental security flaw.
We know that all AI will be on-device in the coming years, and the biggest blocker to achieving this dream is not the on-device models or the hardware. It's the security.
All standard ML inference libraries (LiteRT, Core ML) are vulnerable to model theft via runtime weight extraction. This is because model weights must be decrypted into RAM before being processed by the interpreter.
This means highly valuable AI models can easily be stolen via common methods such as Frida code injection, circumventing any at-rest security.
Niter closes the gap
Niter is a tool that can take any on-device model and build a hardened deployment package that can easily be integrated into developers' existing apps and products.
Our layered security is robust against at-rest and runtime inference attacks, not possible with any known security solution.
This includes our secure-by-design realtime inference engine, where the resources needed to extract or duplicate your model far exceed its commercial value.
Niter
Security first on-device AI.
Capabilities
What you get when you ship a model with Niter.
Hardened Packaging
Take any on-device model and ship it as a hardened deployment package: a drop-in artefact your existing app integrates without re-architecture.
Anti-Extraction
Prevent model theft with runtime integrity checks, obfuscation, and tamper detection. Your IP stays protected on any device.
Data Privacy
All processing happens on-device. No data leaves the device, no cloud dependency. Full compliance with privacy regulations by design.
About Niter
We believe AI should run where your data lives: on the device. Niter unlocks lucrative on-device AI, removing the dependency on expensive cloud infrastructure and keeping your models yours.
Get in touch
Want to move your AI to the edge? Let's talk.