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Sovereign AI

Sovereign capability inside national boundaries.

Self-hosted and in-jurisdiction, for data that cannot leave — refined on infrastructure the customer controls, with ISO/IEC 42001 controls through every stage.

What it means

The sovereign AI stack, end to end

data for AI, model training, fine-tuning and inference, on bare-metal GPU, sovereign cloud, on-premise and edge — with MLOps, guardrails and ISO/IEC 42001 controls across the top.

Outcome

Regulated data stays in-country, with residency evidence by default.

Zero cloud dependency where the mandate requires it: all data on-premises, no external API calls.

Capabilities

  1. 01

    Sovereign cloud and residency

    Landing-zone design, residency controls, evidence and audit trail. Regulated data stays in-country by default.

  2. 02

    AI supercomputing

    Cluster orchestration, distributed training, utilisation and cost tuning on single-tenant GPU platforms.

  3. 03

    Foundation models

    Domain adaptation of open models with fine-tuning, an evaluation harness and guardrails.

  4. 04

    Model router and MaaS

    One governed endpoint: model router, model as a service, per-tenant quotas, unified API.

  5. 05

    Data and analytics platform

    Pipelines and lakehouse, vector and retrieval, data governance — patterns models can use.

  6. 06

    Managed and secure operations

    AgentOps and AIOps, drift and incident management, regulator-ready governance reporting.

Solution highlights

Where it is already running.

  • Data as a strategic asset

    Proprietary enterprise data refined inside a secure enclave, producing models competitors cannot replicate.

  • Private LLM deployments

    Single-tenant stacks for enterprises that cannot use public inference, including micro-PoP deployments.

  • Edge inferencing

    Industrial and embedded workloads served close to the plant, with the same governance posture.

  • Compliance from the start

    ISO/IEC 42001 and NAIC voluntary AI safety standards applied to the pipeline, not bolted on after.

The sovereign AI stack, end to end

Four stages, with assurance across the top and silicon underneath.

MLOps, guardrails & assuranceModel registryDrift monitoringAutomated retrainingExplainabilityAudit trailISO/IEC 42001 controls

  1. 1Data for AI

    • Multimodal pipelines
    • Annotation
    • Synthetic data
    • Lineage & versioning
    • Data quality & drift

  2. 2Model training

    • Distributed multi-node
    • Mixed precision
    • Experiment tracking
    • Architecture selection
    • Reproducible runs

  3. 3Fine-tuning

    • SFT & LoRA
    • Domain adaptation
    • Transfer learning
    • Evaluation harness
    • Guardrail tuning

  4. 4Inference & serving

    • Model router
    • Model as a service
    • Quantisation & pruning
    • Autoscaling endpoints
    • Latency engineering
Compute & siliconBare-metal GPUKubernetes & GPU operatorInfiniBand fabricSovereign cloudOn-premiseEdge & on-deviceAMDNVIDIA · AMD · Qualcomm

Where we sit on a sovereign platform

The platform supplies sovereign infrastructure. We are the delivery layer above it.

Turning capacity into governed production systems.

  1. Sovereign cloud & data residency

    Regulated data stays in-country, with residency evidence by default.

      Landing-zone designResidency controlsEvidence & audit trail

  2. AI supercomputing & GPU capacity

    Cluster build-out and distributed training, tuned for utilisation.

      Cluster orchestrationDistributed trainingUtilisation & cost tuning

  3. Foundation models

    Domain adaptation of open models, gated by an evaluation harness.

      Fine-tuning & SFTEvaluation harnessGuardrails

  4. Model router & model as a service

    One governed endpoint, routed on cost, latency and sensitivity.

      Model routerModel as a servicePer-tenant quotasUnified API

  5. Data & analytics platform

    Pipelines, vector retrieval and lakehouse patterns models can use.

      Pipelines & lakehouseVector & retrievalData governance

  6. Managed & secure operations

    Continuous monitoring of agents, with regulator-ready reporting.

      AgentOps & AIOpsDrift & incident managementGovernance reporting

Sovereign AI Neocloud Alliance

Sovereign compute in both regions, one delivery layer.

We deliver sovereign AI on infrastructure that stays in-country. The alliance pairs our delivery team with neocloud partners in each region, so regulated data never leaves its jurisdiction and frontier capability still arrives.

  1. Delivery layer

    DeepWeaver × Nunnari Labs

    Model engineering, governance and forward-deployed engineers across both regions.

  2. Australia

    OrionVM

    Single-tenant GPU platform on NVIDIA AI Enterprise for Australian sovereign deployments.

  3. India

    E2E Networks

    Indian GPU cloud for in-country training, fine-tuning and inference.

Sovereign AI · Australia

Australian sovereign experience.

Partnering with Equinix and OrionVM to build private AI capability for enterprises.

Three layers, three partners

  1. DeepWeaver × Nunnari Labs

    Strategic innovation & compliance

    Built with the compliance discipline regulated industries require.

      ISO/IEC 42001NAIC VAIS v1.0Model & agent engineeringEnterprise servicesSolutions & applications
  2. OrionVM

    Accelerated compute & lifecycle

    Single-tenant GPU platform with NVIDIA AI Enterprise as the lifecycle manager.

      L40S and aboveKubernetes GPU orchestrationNVIDIA AI Enterprise
  3. Equinix

    The trusted fabric

    Unified digital domain with low-latency interconnect between data and compute.

      Colocation & interconnectProximity & performanceNetwork security

Solution highlights

  • Data as a strategic asset

    Proprietary enterprise data refined inside a secure enclave, producing models competitors cannot replicate.

  • Private LLM deployments

    Single-tenant stacks for enterprises that cannot use public inference, including micro-PoP deployments.

  • Edge inferencing

    Industrial and embedded workloads served close to the plant, with the same governance posture.

  • Compliance from the start

    ISO/IEC 42001 and NAIC voluntary AI safety standards applied to the pipeline, not bolted on after.

Sovereign AI · India

Built and trained on Indian GPU clouds.

Research and product work in India runs on Indian infrastructure. JarvisLabs GPU capacity carries training and fine-tuning runs, and E2E Networks anchors in-country deployment through the alliance.

  1. Research training runs

    Vision and language model training and fine-tuning for the applied research programme, on JarvisLabs GPUs.

  2. Physical AI product development

    Model development and compression for HearSight's on-device perception stack, trained in-country before deployment to the glasses.

  3. Community and enablement

    Hands-on GPU capacity for AI Tamil Nadu workshops and enablement sessions, so practitioners train on real hardware.

Next domain

Digital AI

Start the conversation

Extending the reach of AI beyond the screen — from the field to the factory floor and everything in between.

Ready to move forward? Let’s talk about your specific needs and how we can help you succeed.

Get in touchcontact@deepweaver.ai