Sovereign Federated Learning Network • SOVEREIGN TIER

Federated Intelligence, Differential Privacy, and Sovereign AI Governance.

PSAS Groups enables collaborative AI model training without centralizing sensitive raw data. Hospitals, banks, and sovereign states train frontier models together while keeping raw data on-device.

Launch Simulator ↓

100%

Data Localization On-Premise

ε < 0.1

Differential Privacy Budget

450+

Sovereign Federated Nodes

12.8 PFLOPS

Distributed Network Compute

Interactive Telemetry

Interactive Federated Model Aggregation Simulator

Experience zero-data-sharing federated gradient averaging across sovereign edge nodes.

PSAS GROUPS Neural Console v4.2

LIVE INFERENCE NODE

Select Enterprise Scenario

Live Prompt Query

Collaborative training of MRI brain tumor classifier across 14 European medical institutions without transferring patient scans.

Autonomous Response Output

⚡ Latency: 1.2 min

Completed Federated Round #48. 14 hospital nodes aggregated encrypted gradients with differential privacy (ε=0.08). Global model diagnostic accuracy improved to 99.4%. Zero raw patient scans crossed hospital firewalls.

Deterministic Tool Execution Log

● Aggregated: 14 Hospital Nodes (Zero Patient Data Shared)

Developer Platform

Production APIs. Native SDKs.

Drop PSAS GROUPS into your enterprise stack in minutes with complete client library support.

curl -X POST "https://api.psasgroups.si/v1/federated/round/participate" \
  -H "Authorization: Bearer fl_live_node9981..." \
  -H "Content-Type: application/json" \
  -d '{
    "cluster_id": "eu-health-federation-04",
    "epoch": 42,
    "encrypted_gradient_uri": "ipfs://bafybeihd...",
    "differential_privacy_epsilon": 0.08
  }'

Architecture & Security

Engineered for Sovereign Zero-Trust Scale

Every module built with mathematical precision, audited compliance, and microsecond performance.

100% On-Premise Data Localization

Raw confidential records, patient MRIs, and financial balances never leave local customer servers. Only encrypted weights are shared.

Formal Differential Privacy (ε < 0.1)

Mathematical noise injection guarantees that model weights cannot be reverse-engineered to reconstruct individual training records.

Homomorphic Encryption & SMPC

The central aggregation coordinator computes gradient averages directly on encrypted ciphertexts without decrypting weights.

Byzantine-Robust Consensus

Defends against poisoning attacks and rogue participants by automatically pruning divergent or malicious gradient updates.

Sovereign Cross-Border Governance

Fully compliant with the EU AI Act, HIPAA, GDPR, and sovereign national data protection statutes.

Hardware-Accelerated Edge Aggregation

Accelerates cryptographic gradient aggregation by up to 20x using hardware-assisted enclaves (Intel SGX, AMD SEV, NVIDIA H100 Confidential Compute).

✓ SOC-2 Type II Certified

✓ ISO/IEC 27001 Security

✓ HIPAA & GDPR Article 25

✓ EU AI Act High-Risk Tier-1

✓ 99.999% Mission-Critical SLA

Predictable Pricing

Transparent Enterprise Licensing

Flexible deployment tiers for fast-moving startups to sovereign government networks.

Annual Billing

Monthly Billing

Save 20% Annual

Federation Node

For single institutions participating in external federated consortiums.

€ 479 / month billed annually

✓ 1 Managed Federated Edge Node
✓ Local Private Dataset Connector
✓ Differential Privacy Verifier
✓ Homomorphic Encryption Engine
✓ Standard SLA

Most Selected

Consortium Hub

For industry groups and hospital networks orchestrating collaborative learning.

€ 1519 / month billed annually

✓ Up to 25 Consortium Participant Nodes
✓ Byzantine Poisoning Defense Engine
✓ Automated Federation Rounds
✓ Sovereign Compliance Certification
✓ Dedicated Cryptography Specialist
✓ SOC-2 Certified

Sovereign Nation-State

For national ministries, defense alliances, and global banking conglomerates.

€ 4799 / month billed annually

✓ Unlimited Federated Edge Nodes
✓ Custom Confidential Compute Enclaves
✓ Dedicated Sovereign Network Mesh
✓ 99.999% Mission-Critical SLA
✓ Bespoke Zero-Trust Architecture
✓ Air-Gap Deployment

Frequently Asked Questions

Questions & Answers

Technical details regarding sovereign deployment, security, and integration.

No. We implement formal Differential Privacy with epsilon < 0.1 and Homomorphic Encryption, proving mathematically that individual input data cannot be reverse-engineered.

Our Byzantine-Robust aggregation algorithms filter out outlier and adversarial gradients using geometric coordinate-median verification before weights are applied.

Yes. PSAS Groups was specifically architected to satisfy the strictest High-Risk AI requirements under the European Union AI Act and GDPR Article 25.