System Online

EUROPE'S
INTELLIGENCE
DECENTRALIZED

Reclaiming data autonomy through a federated neural backbone. Raw data never leaves the source. Only intelligence travels.

NETWORK ACTIVE: 98.4%
Scroll to Explore
WARNING: DATA LEAKERR_403

Foreign Cloud Dependency

> Initiating transfer...

> Destination: US-EAST-1

> ALERT: GDPR VIOLATION

> ALERT: IP EXPOSURE

THE DARK DATA PROBLEM

Europe's most valuable asset—intelligence—is being exported. US and China-centric models control the flow of data, leaving European enterprises at risk of regulatory non-compliance and strategic dependency.

Privacy Paradox

To use state-of-the-art AI, you must currently sacrifice data sovereignty. Your proprietary datasets become training fodder for foreign competitors.

Compute Drain

30% of Europe's GPU capacity sits idle in fragmented silos, while companies pay premiums for congested hyperscaler instances.

FEDERATED CORE
Local NodesActive
Data Transfer0 KB
Gradient SyncEncrypted

INTELLIGENCE WITHOUT MOVEMENT

Synnq Pulse inverts the paradigm. instead of moving data to the model, we move the model to the data.

01. Local Training

Models train on local devices (edge, on-prem, or private cloud). Raw data never leaves its secure environment, ensuring absolute GDPR compliance.

02. Gradient Aggregation

Only mathematical updates (gradients) are shared securely. These updates are aggregated to improve the global model without exposing underlying records.

03. Global Intelligence

The result is a "Super-Model" that learns from diverse European data sources while respecting the sovereignty of each participant.

Value Drivers

ENTERPRISE GRADE FL

Cost Savings

  • >97% infrastructure cost reduction
  • >$2.5M GPU clusters → $10K server
  • >95% bandwidth savings (LoRA)
  • >10-100x ROI in year 1

Privacy & Compliance

  • >Data never leaves source
  • >GDPR/HIPAA compliant by design
  • >Secure aggregation (Server blind)
  • >Differential privacy & Audit logs

Enterprise Security

  • >Shamir secret sharing
  • >JWT auth with RBAC
  • >Poisoning detection (90%+)
  • >Ed25519 End-to-end signatures

Production Infrastructure

  • >Hyperparameter optimization
  • >Model versioning & registry
  • >Fault tolerance & Circuit breakers
  • >Prometheus + Grafana
Sectors

INDUSTRIES CASES

01

Healthcare

Multi-hospital collaboration & Patient privacy.

  • Digital patient files (GDPR)
  • Clinical risk prediction
  • Kidney disease prediction
  • HIPAA-compliant training
02

Robotics

Gigafactory & Warehouse automation.

  • 1000+ robots learning tasks
  • Bin picking & sorting
  • Assembly inspection
  • Trajectory-weighted aggregation
03

Finance

Secure fraud detection & Risk modeling.

  • Multi-datacenter training
  • Fraud detection
  • Regulatory compliance
  • 99.997% bandwidth savings
04

Retail

Demand forecasting & Inventory.

  • Store-level prediction
  • Robotic inventory systems
  • Cross-store learning
  • Local data sovereignty
05

Auto

Connected fleet learning.

  • Federated object detection
  • Trajectory prediction
  • Multi-vehicle learning
  • Raw sensor data privacy
06

Edge IoT

Smart cities & Industrial IoT.

  • 100K+ devices
  • Predictive maintenance
  • On-device learning
  • Mobile federated aggregation
Platform Architecture

CORE FEATURES

MODULE_ACTIVE

Universal Model Support

Train any architecture across distributed nodes.

Classic ML: PyTorch (CNNs, RNNs, Transformers)
LLMs: 7B-70B+ parameters (LoRA/QLoRA)
LAMs: Robotics & Embodied AI (Vision+Lang+Action)
Edge: Optimized for <1GB RAM devices

DEPLOY ANYWHERE

From massive datacenters to constrained edge devices. Pulse adapts to your infrastructure using our adaptive runtime.

01HYBRID CLOUD READY
02GIGAFACTORY READY
03EDGE CAPABLE

Datacenter

Multi-datacenter LLM training (70B models)
Hierarchical aggregation
Bandwidth-aware routing

Gigafactory

Robotics fleet learning (1000+ robots)
Real-time policy updates
Onboard robot compute

Edge / IoT

Intermittent connectivity support
Memory-constrained optimization
Works offline with sync
INT8 Quantization

DEVELOPER FIRST

Integrate federated learning capabilities with a single SDK. Abstract away complex cryptography and networking logic.

  • Typescript & Python Support
  • Pre-built Privacy Presets
  • Real-time Training Metrics
bash
import { SynnqNode } from '@synnq/sdk';
const node = new SynnqNode({ role: 'trainer', privacy: 'differential' });
await node.connect(); >> Connection established (23ms)
await node.train(localDataset); >> Training started...
LAYER_00
ACTIVE
LAYER_01
IDLE
LAYER_02
IDLE
LAYER_03
IDLE
LAYER_04
IDLE
LAYER_05
IDLE
LAYER_06
IDLE
LAYER_07
ACTIVE
Deep Learning Stack

NEURAL
ARCHITECTURE

Our proprietary 175B parameter architecture is optimized for distributed training. Featuring Gradient Checkpointing and Zero-Redundancy Optimization to slash memory usage by 60%.

Training Loss
0.0024↓ 12%
Perplexity
8.4State of Art
Active Neurons
175B
Efficiency
94.2%
EPOCH 42/100ETA: 4h 12m

WHY PULSE?

CENTRALIZED INFRASTRUCTUREDEACTIVATED

  • 01
    $2.5M GPU Cluster

    Massive CAPEX & Maintenance

  • 02
    Data Centralization

    Privacy Risks & Compliance Nightmares

  • 03
    Full Bandwidth

    Petabytes of unnecessary transfer

SYNNQ PULSEACTIVE

  • >>
    Zero CapEx

    Leverage existing idle compute

  • >>
    Privacy First

    Data stays local, math moves globally

  • >>
    95% Bandwidth Saved

    LoRA adapters & Delta compression

Core Team

THE ARCHITECTS

Built by a team of researchers, engineers, and privacy advocates dedicated to European digital sovereignty.

Michael O. HübenerMichael O. Hübener

Michael O. Hübener

CEO

LINKEDIN_PROFILE
Navid Kiani LarijaniNavid Kiani Larijani

Navid Kiani Larijani

CTO

LINKEDIN_PROFILE
Victor PiresVictor Pires

Victor Pires

Marketing Director

LINKEDIN_PROFILE

ADVISORY BOARD

Dr. Adam James Hall

↗

Federated/Privacy AI Lead

MIT‑Xanadu/PyVertical.

Boris Lingl

↗

Identity & EUDI Strategist

DATEV.

Dr. Min Ye

↗

Distributed Systems and Model Compliance

EPFL, Zalando.

Join the Network

INITIATE
PULSE LINK

Connect your infrastructure to the federated core. Our team is ready to integrate your nodes.

* Required fields · All communications are encrypted