◆ Gentoo Logic · Modeling Warehouse

Architecture comparison

Helsing vs Shield AI

Shield AI runs closer to the foundational model (Native (own / self-hosted weights)) than Helsing (Direct API). No shared foundational model — different bets.

Helsing

Defense

Proximity
Direct API
Models
Mistral
Cloud · datastore
HybridPostgreSQL (inferred from typical modern Python/C++ stacks)[4]Time-series/telemetry stores (e.g., proprietary or specialized DBs for sensor data, inferred)[4]On-premise data lakes for simulation/operational data (inferred)[4]
Compliance
Defense-grade secure cloud and sovereign environments (non-public details)[4]Likely compliance with European defense and export-control regimes (inferred from role as 'Europe’s largest defence technology company')[3][6]
Architecture

Helsing operates a hybrid of secure cloud and sovereign/on‑prem defense environments built around Python/C++/Rust, PyTorch, and Kubernetes for AI workloads and telemetry/simulation data processing, integrated into physical Resilience Factories for production of autonomous and EW systems.[1][3][4] Their core software stack ingests multi‑sensor and weapons‑system data to provide real‑time battlefield insights and decision support rather than public, consumer-facing LLM services.[5][6]

Shield AI

Defense

Proximity
Native (own / self-hosted weights)
Models
proprietary / self-built models
Cloud · datastore
Hybridown
Compliance
FedRAMP
Architecture

Builds Hivemind, its own autonomy foundation for GPS/comms-denied flight.

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