Why sovereign AI

Compliant by architecture, not configuration.

Sovereign AI means you control every layer: the data it trains on, the infrastructure it runs on, the models it produces and the decisions it makes.

Four kinds of control

You own the stack, end to end.

Infrastructure sovereignty

Deploy on your terms

On-premises, private cloud or sovereign cloud regions. Your infrastructure, your rules.

  • On-premises deployment in your data centre
  • Private cloud on AWS, Azure or GCP
  • Sovereign cloud regions (EU, Switzerland and more)
  • Air-gapped operation for classified environments
Model sovereignty

Trained only on your data

You own the model artefact. Zero communal learning, zero data leakage.

  • Training happens inside your perimeter
  • No data ever sent to external services
  • You own the resulting model weights
  • No risk of training-data extraction attacks
Operational autonomy

Runs offline, on CPU

Sub-300MB models run without a GPU and without an internet connection.

  • CPU-only inference, no GPU procurement
  • Offline operation for disaster scenarios
  • Sub-second latency for real-time decisions
  • Minimal infrastructure requirements
Integration freedom

No migration, no lock-in

Sovereign AI that works with your existing automation stack.

  • REST APIs that fit any architecture
  • Works alongside existing RPA and BPM
  • No core system replacement needed
  • Incremental adoption, one workflow at a time
Cloud AI vs. sovereign AI

The difference is fundamental.

AspectCloud AISovereign AI
Data locationExternal servers, often multi-tenantYour data centre, your cloud
Model trainingCommunal models, potential data leakagePrivate models, zero communal learning
Vendor dependencyRequires internet and API availabilityRuns offline, fully autonomous
Regulatory riskComplex compliance, third-party auditsSimplified compliance, you control the audit
Cost structureUnpredictable costs that scale with every API callFixed infrastructure, predictable costs
Security

Zero data egress.

Processing stays inside your network boundary, from training to inference to the audit record.

  • No PII transmitted to Synapze or any third party
  • Compatible with your existing DLP and network controls
  • Air-gapped operation supported end to end
  • Encryption at rest and in transit
0 bytes
Customer data leaving the perimeter
CPU
No GPU, no cloud inference
100%
Decisions with a reasoning trace
ISO 27001
Certified information security
Regulatory alignment

Built to satisfy auditors.

GDPREuropean data protection
EU AI ActHigh-risk AI requirements
DORADigital operational resilience
AML / KYC / KYBFinancial compliance
SR 11-7Model risk management
FCA / EBAFinancial conduct
CCPACalifornia privacy rights
ISO 27001Information security
Get started

Start with a one-model pilot.

A 30-minute discovery call, a no-obligation ROI assessment, then a pilot on a single process. Prove it works before you commit.

No GPU procurement · No core banking disruption · Live in 12 weeks