Evidence

Proof, not promises.

Every claim backed by a measurement. Every artifact signed. Every deployment auditable.

Signed artifacts

Ed25519 signatures on every model. Verify provenance, integrity, and chain of custody before deployment.

  • Ed25519 cryptographic signing on every artifact
  • Verification tooling included with every deployment
  • Model cards with training lineage
  • Tamper-evident distribution
Provenance details

On your hardware

Models run on infrastructure you control. Nothing phones home. Air-gapped configurations available.

  • Zero cloud dependency on the inference path
  • No telemetry or phone-home behavior
  • Air-gapped deployment configurations
  • On-prem, private cloud, or edge targets

Audit trails

Every deployment logs sector, data sensitivity, model version, sign-off, and incident status.

  • Deployment risk assessment per engagement
  • Data sensitivity classification
  • Model version and configuration tracking
  • Incident logging for regulated teams
Governance framework

SBOMs & transparency

CycloneDX software bills of materials so your security team can verify the supply chain.

  • CycloneDX SBOMs for production models
  • Signed SBOM artifacts where published
  • Clear labeling of edge vs hosted paths
  • No hidden third-party inference on local models
Transparency page

Benchmarks

Real hardware. Published results.

913 measurements from physical silicon — Snapdragon NPUs, Apple ANE, Cortex-M MCUs, Jetson, automotive platforms. Failures included.

Full benchmark results

Interactive preview

Pick a model. See the speed.

Full benchmarks
ResNet-50 (97.4 MB)964 μs
EfficientNet-B0 (20.2 MB)655 μs
MobileNetV2 (13.3 MB)294 μs
Wake Word (229 KB)32 μs
30×

vs ResNet

20×

vs EffNet

vs MobileNet

98.1%

accuracy

70

devices

Ready to deploy with proof?

Start with a free Private AI Assessment — architecture, risk, and ROI on your terms.