SDVOSB

Private AI infrastructure for regulated teams.

Deploy AI on your hardware, with proof. Signed artifacts, real-device benchmarks, and zero cloud dependency — built for teams that need control today and durable infrastructure for the decade ahead.

Ed25519

Signed artifacts

913

Device benchmarks

Zero

Cloud dependency

10

Production models

How to start

Assess. Deploy. Subscribe.

Three ways to engage — start with a free assessment and grow into a platform relationship.

01

Private AI Assessment

Free

Architecture review, risk mapping, and ROI blueprint for your AI deployment. No obligation.

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02

Regulated Deployment

Scoped

On-prem or private-cloud deployment with signed artifacts, benchmark evidence, and full handoff.

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03

Constant Platform

Annual

Ongoing updates, governance review, monitoring, and support. The recurring layer that compounds.

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Trust center

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.

Your Hardware

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

Real Benchmarks

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

Audit Trails

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

Evidence

Real hardware. Published results.

Snapdragon NPUs, Apple ANE, Cortex-M MCUs, Jetson, automotive platforms. Every result from a physical device. Failures included.

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

Research

We’re actively working on expressing ideas and exploring mathematics transparently.

Formal verification, edge AI, and computational neuroscience — published with negative results and maturity labels, so you know exactly what the evidence supports.

Governance

Responsible deployment. Not just a statement.

We evaluate deployment risk, track stakeholder impact, and maintain audit-ready governance — because trust is operational, not aspirational.

Deployment risk assessment for every engagement
Stakeholder impact metrics tracked monthly
Data sensitivity classification and handling protocols
Incident response and update transparency
Responsible AI principles operationalized, not just published

Own your AI operating layer.

Deploy private AI now. Reduce dependence on outside model vendors. Build durable infrastructure for the decade ahead.

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