The Largest Decentralized AI Network

TECHNOLOGY

We're pioneering the next generation of AI infrastructure, combining federated learning and advanced LLMs to revolutionize how AI models are trained and deployed globally.

Core Technologies

Federated Learning

Decentralized training on client devices

Large Language Models

Advanced AI for NLP, vision, and multimodal use cases

Inference APIs

Unified endpoints for text, image, audio, and video AI

Opportunities

Global GPU Market

$100B+

Utilization

30%

Market Growth

Projected 25% CAGR through 2025

Why SYNNQ

Transforming Europe's unused compute into a privacy-first, compliant AI network — delivering 10x faster performance at 90% lower cost.

Privacy-First

Your data stays where it belongs — with you. Our federated learning approach ensures only model updates move, never raw data.

90% Lower Cost

Leverage idle consumer and institutional GPUs across Europe instead of expensive centralized data centers.

10x Faster

Our lightweight architecture and decentralized compute network deliver unmatched performance.

EU-based hosting

Built on European infrastructure with full GDPR compliance and data sovereignty.

Auditability & traceability

Complete transparency in model behavior and training flow for regulatory compliance.

Cryptography integration

Secure, verifiable collaborations between trusted nodes through distributed ledger technology.

Compliant by design

Architected to avoid U.S. CLOUD Act vulnerabilities while meeting EU AI regulations.

ARCHITECTURE

A robust, scalable, and secure framework for decentralized machine learning

SYNNQ Architecture Diagram

Overview

This deep dive into our federated learning system architecture, covering server and client components, their interactions, and key features that enable real-time collaboration while preserving data privacy. Our system leverages cutting-edge distributed computing principles to enable secure, efficient model training across a network of devices. The architecture is designed to scale seamlessly from small clusters to global deployments, with built-in fault tolerance and automatic load balancing. Each component is optimized for performance while maintaining strict privacy guarantees, ensuring that sensitive data never leaves its source while still contributing to the collective intelligence of the system.

Server Architecture

The server orchestrates the entire federated learning workflow — from client coordination to model aggregation and monitoring.

  • Manage federated training rounds
  • Coordinate connected clients
  • Aggregate and update global model
  • Serve real-time monitoring dashboard

Client Architecture

Autonomous agents that train on local data while preserving privacy.

  • Secure local training
  • Private data integration
  • Real-time monitoring
  • Resource optimization

Security First

  • End-to-end encryption
  • Authentication & authorization
  • Data never leaves the client
  • Privacy-preserving aggregation

Monitoring & Visualization

  • Real-time resource monitoring
  • Training progress charts
  • Performance analytics
  • Event and error logs
OUR GROWING PORTFOLIO
10+
Successfully implemented with partners and counting

From startups to enterprises, we've helped businesses transform their digital presence.

EXPLORE USE CASES →
Ready to transform your vision into reality?

Let's build something extraordinary together. Your success is our success.

NEW EDGE TRANSFORMERS

Harness the power of federated learning with our edge-based transformer architecture, enabling collaborative intelligence while preserving data privacy and security.

Client Software

Autonomous agents that train on local data and contribute to the global model without sharing raw data.

99%

Data Privacy Preserved

50x

Faster Training

Distributed Processing

Efficient resource utilization across nodes

Server Connection

Secure and reliable connection to central server

Local Training

Efficient model training on local datasets

Metrics Reporting

Real-time performance monitoring

System Health

Automated resource management

Client API

Dashboard access

Status

Real-time updates

Metrics

Training stats

System

Resource usage

SDK

A powerful Software Development Kit that enables seamless integration of federated learning capabilities into your applications.

20%

Faster Integration Speed

99.9%

Uptime Guarantee

Enterprise-grade Security

Built-in encryption and privacy features

Quick Setup

Install via package manager with a single command

Easy Configuration

Simple environment setup with smart defaults

API Docs

Complete API reference

Tutorials

Step-by-step guides

Examples

Real-world use cases

Best Practices

Optimization tips

Community

Active forum and Discord community

Enterprise Support

24/7 technical assistance

Harness the power of our SDK to build your own federated LLM applications or contribute to our growing network. Whether you're a developer looking to integrate federated learning into your existing applications or a researcher exploring distributed AI, our comprehensive toolkit provides everything you need to get started. Join a community of innovators pushing the boundaries of collaborative machine learning.

NEURAL ARCHITECTURE

Our advanced LLM Model powers state-of-the-art language understanding, with specialized layers for enhanced context processing and knowledge integration.

Progress
0%
Loss
2.500
Perplexity
12.18
Learning Rate
1.0000e-4
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Next big ambitions?

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