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Anduril

Anduril’s production architecture is built around its proprietary **Lattice** autonomy platform as the software backbone for autonomous systems and the **Arsenal** software-defined manufacturing stack, integrating sensor fusion, decision logic, and production control across a mix of cloud and tightly controlled on‑prem deployments.[10][12][13] Public material focuses on capabilities and manufacturing rather than concrete cloud/database vendor disclosures, so specific underlying services (e.g., exact clouds and DB engines) remain intentionally opaque.[3][10][12]

Foundation proximity: Off the LLM map (in-house non-LLM ML)

Foundational models & how they consume them

Off the LLM map — in-house non-LLM ML only.

Cloud & datastore

HybridProprietary internal telemetry stores (Lattice platform)Data lake/warehouse for long-term sensor/log storage (likely cloud + on-prem, exact vendors undisclosed)Streaming/message bus layer (Kafka/Pulsar-like per system design guidance, not confirmed as production)

Compliance

ITAR (International Traffic in Arms Regulations) – required for US defense exports and autonomous weapons systemsDoD cybersecurity controls (e.g., NIST SP 800-53 / FedRAMP-aligned baselines for handling defense telemetry)SOC 2–style controls for hyperscale manufacturing and software-defined facilities (inferred from defense SaaS norms)Defense-specific secure manufacturing and export controls for Arsenal-1 and international facilities

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FAQ

Does Anduril use a foundational AI model?
Anduril relies on in-house, non-LLM machine learning at its core — off the foundational-LLM map.
What cloud does Anduril run on?
Anduril runs on Hybrid.
What database does Anduril use?
Anduril uses Proprietary internal telemetry stores (Lattice platform), Data lake/warehouse for long-term sensor/log storage (likely cloud + on-prem, exact vendors undisclosed), Streaming/message bus layer (Kafka/Pulsar-like per system design guidance, not confirmed as production).
How close does Anduril run to the foundational model?
Anduril is off the foundational-LLM map (in-house non-LLM ML).

Sources

anduril.com ↗

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Architecture inferred from public sources · confidence low · verify before betting on a detail.