ANEMOD

ANEMOD

Smart, Secure and Energy-Aware System

ANEMOD develops a hardware & software control environment for mobile embedded systems that simultaneously converges Artificial Intelligence (AI), energy frugality, and cybersecurity.

SLMs / Edge AI

H2S / HSM / TLS 1.3

Energy Frugality

6G / Embedded

Why these three domains?

They are inseparable for future systems. Designing without AI, frugality, and security in harmony will soon be inconceivable.

What ANEMOD focuses on

Control software & hardware for mobile embedded digital infrastructures — interconnected femto-data centers with low-power GPU/NPUs — operating autonomously.

How it’s achieved

Energy frugality via distillation & other algorithms
Security via H2S (HSM + TLS 1.3)
AI via Small Language Models (SLMs)

Services

All capabilities, structured for clarity.

Intelligent cybersecurity

Cyber-vaccine & IoB

Behavioral AI + Internet of Behaviors to predict & neutralize attacks before they occur.

Proactive defense

Deep data analysis to understand attacker behavior and enable proactive defense.

CTI foundation

Cyber Threat Intelligence: systematic collection and analysis of intelligence.

Temporal analysis

Continuous knowledge tracking to understand behaviors over time.

Behavioral AI loop

IoB data feeds behavioral AI to analyze and understand attitudes & actions.

Hardware cybersecurity

Hardware Security Server (H2S) with secure element

H2S with Ethertrust

Hardware Security Server using secure element, HSM + TLS 1.3 for secure key distribution.

EAL6+/EAL7

End-to-end protection of AI models, data & communications at the highest assurance levels.

Client-side signatures

Execute cryptographic signatures locally with very high security.

Zero-Trust & 6G

Supports Zero-Trust techniques; future-ready for 6G security models.

AI (Small Language Models)

SLMs vs LLMs

Fewer parameters; accuracy preserved via distillation, quantization & pruning.

Efficient inference on constrained devices

Efficiency

Low energy consumption & minimal hardware needs — ideal for Edge & embedded.

Deployment

Low-power CPUs, mobile NPUs/TPUs, or lightweight GPUs (e.g., NVIDIA Jetson) — integrates with 6G networks.

Energy frugality

Pruning

Unstructured & structured pruning to reduce model size.

Quantization

FP32 → FP16/INT8/INT4 to shrink memory & speed inference.

Low-rank factorization

Matrix approximations reduce redundancies and compute cost.

Knowledge distillation

Train a compact student to mimic a larger teacher with minimal loss.

Unified objective

Software/hardware environment orchestrating AI, frugality & cybersecurity at the Edge.

Global arbitration

Architecte Résumé — ANEMOD

A unified orchestration layer to optimize processes on mobile or fixed Edge systems while simultaneously considering AI, frugality, and cybersecurity.

PRODUCTS

Personal Network Hardware Secure Module (pNHSM). Grid of 16 secure elements (TLS1.3 PSK servers) powered by RaspberryPi.

LeMonolith pNHSM based on EAL6+ secure element — TLS 1.3 server inside secure element.