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AI Infrastructure for Enterprise and Government

Privacy-preserving, policy-governed, and operationally scalable deployments.

AI Infrastructure

Privacy-preserving, policy-governed, and operationally scalable.
Controlled data flows, auditable access, and production-grade serving across on-prem and cloud.

Data Privacy and Sovereignty

Enforce locality constraints, isolation boundaries, and private networking for regulated workloads.

Private VPC Data Residency

Ingestion and Governance

Curate heterogeneous sources with lineage, permissions, and retention to support retrieval and training.

Retrieval Lineage

Custom Models

Adapt MoonAI models to domain objectives with compute-efficient tuning and controlled releases.

Adaptive Forest of Experts

Model Pairing and Orchestration

Govern routing across modalities and pair ML models along with tool-execution controls.

Cross-modal ML models

API and Integration Layer

Secure, policy-aware APIs for inference, retrieval, and ingestion. Built for enterprise/government identity, throttling, and audit.

On-prem Cloud Hybrid

Serve at Scale

Deploy the right sized model for thousands to millions at a fraction of cost.

Routing

Ingestion + Answers

Bring your data in, then generate insights, summaries or ask questions with governed retrieval, traceable reasoning, and policy-bound outputs.

  • Ingest
    Connect files, records, and feeds. Normalize schemas, capture metadata, and enforce retention.
  • Retrieve
    Policy-aware retrieval across structured and unstructured sources with lineage and permissions.
  • Answer
    Ask questions and generate outputs with citations, redaction, and audit logs. Deployable on-prem or in cloud.
Connectors Structured + Unstructured RAG Audit Logs On-Prem / Cloud

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