Defense · Hybrid
Helsing
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]
Foundation proximity: Direct API
Foundational models & how they consume them
PrimaryMistral large language / vision‑language‑action models (family)· Mistral AI · Direct API
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]Similar companies
Shield AIAndurilOthers that build on Mistral
BNP ParibasDoctolibFireworks AIMistral AIOrangeSAPExplore
FAQ
Does Helsing use a foundational AI model?
Helsing uses Mistral large language / vision‑language‑action models (family) (Direct API).
What cloud does Helsing run on?
Helsing runs on Hybrid.
What database does Helsing use?
Helsing uses PostgreSQL (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].
How close does Helsing run to the foundational model?
Helsing is Direct API — close to the metal, so cheaper tokens and more control over outputs.
Sources
helsing.ai ↗Also on the map
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Architecture inferred from public sources · confidence low · verify before betting on a detail.