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.

  • The real numbers come from the real boardGet real throughput metrics from real hardware runs.
  • Already deployed? Keep testing on itEmbed our testing suite as a CI step, and run tests on the same silicon you ship.
  • Exploring a new platform?We run your model at several levels of optimisation, and measure latency, memory & accuracy directly on the board.
See the platforms we run on
02Optimise

Optimised only as far as it needs.

  • Only when it needs itWe will optimise your model, if needed, depdending on hardware constraints or throughput limitations.
  • Quantised, pruned and compiled for the chipWith the platform’s own toolchain, for that exact silicon.
  • Accuracy measured at every stepSo you choose the trade-off from real numbers.
Read: two medical models on one $249 box Read: how much precision do you actually need?
03Secure

Protect your IP.

  • Encrypted at restThe model is never stored in the clear on the device.
  • Decrypted only inside the chip’s TEEWith per-device keys tied to the silicon.
  • Unreadable, even with rootPull the disk, root the OS, all you get is ciphertext.
Read: shipping confidential models to edge devices
04Attest

Signed at every step.

  • Original and optimised models are cross-signedWhere a model came from is always provable.
  • The device verifies before it runsOnly a model you signed is ever loaded.
  • Built on Sigstore CosignA Linux Foundation project - the keys stay on a KMS or a hardware token.
Read more on Sigstore Cosign

Tested on real hardware.

Jetson Orin
Genio series
i.MX 8
AM69, AM68A & AM67A
RK3588
QCS6490

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