Sovereign AI

Your data. Your hardware.
Your AI.

Full-capability AI deployments that never leave your environment. For finance, healthcare, legal, government, and defense-adjacent teams that cannot route sensitive data through third-party cloud infrastructure.

173 tok/s on $30K hardware
0 Data leaving your environment
4 Major compliance frameworks supported
Book a compliance review See use cases

Built for regulated environments

We design every deployment to fit within your existing compliance posture — not to create new obligations.

GDPR

Personal data stays within your jurisdiction. No processing by third-party sub-processors. Data residency by design.

DORA

ICT risk management and operational resilience for EU financial entities. On-premise removes key cloud third-party dependency risk.

NIS2

Critical infrastructure and essential services. Air-gap capable deployments eliminate external attack surface at the AI layer.

HIPAA

Protected health information never leaves your environment. BAA-compatible architecture, audit trails, and access controls built in.

We also support ISO 27001, SOC 2 Type II, and sector-specific requirements. Contact us with your specific compliance obligations.

Four principles of sovereign deployment

Every architectural decision is made with data sovereignty as a hard constraint, not an afterthought.

01

Zero external dependency at inference

Once deployed, the system runs entirely on your infrastructure. No cloud API calls, no telemetry, no model weights fetched from external sources. Your AI operates when your network is isolated.

02

Compliance by architecture, not policy

We design data flows so regulated data cannot leave your environment — even by misconfiguration. Compliance is enforced at the infrastructure level, not just documented in a policy manual.

03

Right-sized hardware, not over-provisioned

We benchmark your actual workload before recommending hardware. Most regulated-industry use cases run well on $30K-$80K GPU nodes — no $500K GPU cluster required. We scope hardware to your throughput, not a vendor's upsell.

04

Observable and auditable

Every inference is logged, every model version is tracked, and every access is audited. We build the observability layer your compliance team needs to evidence what the AI did, when, and on whose authority.

What we deploy and how

A complete sovereign AI stack — from hardware spec to production monitoring.

Layer What we deliver Compliance value
Hardware Spec, procurement support, rack layout, GPU node configuration Physical data residency, no shared multi-tenant risk
Model selection Open-weight model evaluation, benchmarking for your use case, licensing review No proprietary cloud model dependency, model provenance documented
Inference stack Optimized inference server (vLLM, TGI, or custom), API gateway, load balancing Air-gap capable, no external calls at inference time
Data pipeline RAG architecture, vector store, embedding pipeline — all on-premise Regulated data never leaves your network boundary
Access control LDAP/AD integration, RBAC, API key management, audit logging Controls evidence for GDPR, HIPAA, and ISO 27001 audits
Observability Inference logging, model version tracking, usage dashboards, alerting Audit trail for every inference event, model change management

Where sovereign AI is non-negotiable

These industries cannot route sensitive workloads through shared cloud infrastructure. Here is how we deploy for them.

Financial Services

DORA-compliant AI for a tier-1 bank

Who
EU-headquartered bank, DORA compliance deadline, AI ambitions blocked by third-party cloud risk
Challenge
DORA requires concentration risk assessment and substitutability for critical ICT third-party services — cloud AI failed that test
With us
On-premise LLM stack for internal document analysis, no cloud API dependency, full DORA ICT risk documentation
Outcome
DORA-compliant AI in production, concentration risk remediated, 140 tok/s throughput on two GPU nodes
See finance industry page
Healthcare

Clinical notes AI — zero PHI outside the hospital

Who
Regional hospital network, 8 sites, HIPAA obligations, clinical documentation backlog
Challenge
Cloud AI vendors could not provide a BAA-compatible architecture that kept PHI within hospital network boundaries
With us
On-premise clinical NLP stack, structured note extraction, full audit logging, BAA-compatible architecture documentation
Outcome
80% reduction in documentation time per clinician, zero PHI processed outside hospital network, audit trail complete
See healthcare industry page
Legal

Privileged document AI with air-gap

Who
International law firm, M&A practice, client confidentiality obligations and bar requirements
Challenge
Privileged client documents could not be processed through any external system — including cloud AI
With us
Air-gapped document analysis stack, contract review automation, matter-specific access controls, no network egress
Outcome
60% reduction in due diligence review time, zero client confidentiality risk, full privilege log maintained automatically
See legal industry page

Want the compliance architecture overview?

Contact us for a one-pager covering our reference architecture for GDPR, DORA, NIS2, and HIPAA deployments — including data flow diagrams, access control models, and audit logging specifications.

Request compliance overview

Other ways we work with you

Enterprise

Business Process AI

For process automation at enterprise scale — back-office, finance, sales, and customer operations. 80% cost reduction, documented.

Learn more →
Growing teams

AI Pivot Squad

Need a senior team to ship production AI and train your engineers to own it? First value in 4 weeks.

Learn more →

Common questions

It means the AI system can operate with zero outbound internet connectivity. No model calls leave your network, no telemetry is sent externally, no cloud dependency exists at inference time. We have deployed fully air-gapped systems in defense-adjacent and critical infrastructure contexts.

On optimized on-premise hardware, we achieve 173 tokens per second on a $30K GPU node — comparable to cloud inference for most enterprise workloads. For high-throughput production use cases, we scale horizontally across multiple nodes. Latency is typically lower than cloud for internal applications because there is no WAN round-trip.

GDPR, DORA, NIS2, and HIPAA are our primary frameworks. We have also supported ISO 27001, SOC 2 Type II, and sector-specific requirements in financial services and healthcare. We document data flows, access controls, and model provenance to support your compliance evidence package.

No. We scope the hardware requirement as part of the engagement — CPU, GPU, storage, and networking — and can procure on your behalf or advise your procurement team. We have standard reference architectures for common workload profiles that avoid over-provisioning.

We work with open-weight models (Llama, Mistral, Qwen, Phi, and others) as well as enterprise-licensed models with on-premise rights. Model selection is driven by your accuracy requirements, hardware constraints, and compliance posture. We benchmark and recommend the right model family for your use case.

We provision automated model update pipelines, monitoring dashboards, and alerting. Typical maintenance burden on your team is 2-4 hours per month after the initial deployment. We offer optional managed operations for organizations that want us to handle updates and incident response.

Ready to deploy AI on your terms?

Tell us your compliance framework, your use case, and your timeline. We will scope the hardware, select the model, and show you what sovereign AI looks like for your specific environment.

Book a compliance review Explore your industry