Runs Ministral 3B entirely on-device.
No data transfer to server. No subscriptions.
Embedded AI in physical hardware — made in the EU.
Most AI sends every query to servers you don't control.
Every document you upload, every question you ask — it travels the internet.
ANV-Gyro is different. The model runs entirely inside the box on your desk.
Nothing leaves. Ever.
Inference runs on-device. Your queries, documents, and outputs never touch an external server.
No API calls, no cloud dependency. The model lives in flash storage — available 24/7, no internet required.
Data residency is physical — your building, your device. Compliance is structural, not contractual.
No monthly quotas, no usage billing, no outages. Run inference as hard as you want, all day.
A 3-billion parameter language model optimised for edge deployment. Fast enough for real conversation, small enough to run on commodity hardware — without sacrificing intelligence.
Runs on the 3× RPi 5 cluster via quantised inference (GGUF / llama.cpp). No GPU. No API key. No billing. The model lives in flash storage — yours to use indefinitely, fully offline.
From hardware assembly to infrastructure, ANV-Gyro never leaves European jurisdiction. Built under EU law. Backed by EU values.
Hardware designed, assembled and tested within the European Union. Full supply chain transparency.
All cloud services (firmware updates, optional sync) run on EU-based infrastructure. No US cloud providers.
No personal data on external servers. Privacy is an architectural property, not a policy document.
Transparent model provenance (Mistral AI, FR). On-device deployment minimises regulatory exposure.
Ministral 3B is by Mistral AI — Paris-based, Europe's leading AI lab and answer to Big Tech AI.
No dependency on US or Chinese AI infrastructure. Your organisation's intelligence stays sovereign.
Interactive engineering diagram. Toggle the display, projector, and load simulation to see how ANV-Gyro behaves.
Sphere rotation speed is a direct physical readout of AI workload. No dashboard needed — visible from across the room.
Two Ø80 mm piano-black aluminium spheres. Turbine vanes convert fan airflow to rotation. Idle: 2 RPM. Full AI load: 25 RPM.
Pure physicsIPS panel hinged at rear edge. Closed = silent blue slab. Open = full workstation at 70°. Friction-lock hinges.
1920×1200Translucent sapphire-blue PMMA, 300×240×80 mm. RGB underglow. RPi boards visible through the material.
PMMA · EU madeCluster compute for distributed inference via llama.cpp. PWM fan control from GPIO temperature sensors.
4GB eachTwo GC9A01 1.28" circular displays in the front face. CPU load and clock always visible.
GC9A01 · 240×240DLP2000 rear-mounted, projects upward onto the wall behind the device. Present AI outputs without a second screen.
DLP2000Via the flip-up display terminal, local network web UI, or REST API. No account. No cloud login.
The model processes your request on the 3× RPi 5 cluster. Quantised inference via llama.cpp. No internet needed.
Fans speed up with temperature. Airflow spins the turbine-vaned spheres. You see the AI working — physically.
Response is generated and shown. Nothing left the device. No server log. No trace. Spheres slow down.
We are looking for pilot customers, enterprise partners and early adopters who believe private AI should not mean slow or compromised AI.
Contact us →