Optimise, test, and secure models on real Edge AI hardware.

Tested on real physical hardwareModels are tested on read hardware in our lab.
Optimised AI modelsQuantised, pruned and checked on each platform.
Secured model inside the chipEncrypted at rest, decrypted using the chip’s TEE.
Attest your deployed modelSign your models through an HSM or KMS.

01Test

Run your model on real hardware.

You trained a model and you have an idea of how it performs. The real numbers only come from the board it will ship on.

Already deployed on one platform? We plug into your pipeline, so every new model runs on that same hardware before it ships: a CI step on real silicon.

Curious how it would fare on a given platform? We run it there for you, at several levels of optimisation, and give you latency, memory and accuracy measured on the hardware.

See the platforms we run on

02Optimise

Optimised only as far as it needs.

If it doesn’t fit or isn’t fast enough, we quantise, prune and compile it for that exact chip, measuring accuracy at every step, so you choose the trade-off from real numbers.

Read: two medical models on one $249 box

03Secure

Protect your IP.

Once it runs, we show you how to protect your model on the given platform: encrypted at rest, decrypted only inside the chip’s trusted execution environment, with per-device keys tied to the silicon.

Pull the disk, root the OS, clone the unit: all you get is ciphertext.

04Attest

Signed at every step.

Original and optimised models are cross-signed, so where a model came from is always provable, and the device verifies before it runs.

The signing infrastructure is using Sigstore Cosign, a Linux Foundation project. The keys stay on a KMS or a hardware token.

Tested on real hardware.

Jetson Orin

Genio series

i.MX 8

AM69, AM68A & AM67A

RK3588

QCS6490

Latest from our blog

All articles

Oct 5, 2026 · Maxime Carriere