The local inference engine, tuned to your hardware — not the other way around. Our own Rust-based inference binary, communicating over post-quantum cryptography, optimized by the best serving recipes: AI processing that stays on your infrastructure, at a fraction of the cost.
Platform module of the AIvantGuard SDK — tier-based licensing, adopted with a deployment.
Serving traffic encrypted with post-quantum cryptography — end to end.
The serving stack is rewritten end to end in Rust and tuned for the exact GPUs you use — not for generic hardware.
FP4 numeric formats tuned to the hardware — more model per GPU, at serving-grade quality.
Mixture-of-Experts research (published on Zenodo) — only the relevant experts load.
Memory-safe, ~17,000 lines across 10 crates. Built for production, not demos.
The engine improves with your workloads — deployment profiles sharpen over time.
Serving optimized across your entire hardware landscape — every machine you own participates.
Focus on 300B-class frontier models: DeepSeek V4-Flash, GLM-5.3-Flash, Qwen3.8-Flash-Next.
Live today
Inference support for DeepSeek V4-Flash and Z.AI GLM-5.3-Flash — frontier-class models on your own metal.
Next
Inference speed optimization on NVIDIA and Apple platforms.
Then
Deployment profiles that optimize themselves from real traffic.
Long term
GA as the inference engine of the sovereign stack.
We bring the tuning expertise — you bring the GPUs you already have.
Inference cost curves that actually bend — at serving-grade reliability.
Independence from foreign inference vendors — models on your metal, under your law.
Local inference is the engine layer of the sovereign stack — a foundation toward the Vault.