Decentralized AI Platform

Ailoos

AI Without Compromise

Privacy • Security • Decentralization

2025
Research Phase
Development timeline
In progress
3
Prototype Models
AI models developed
Federated learning
ZKPs
Privacy Framework
Zero-knowledge proofs
Implemented
Q1 2026
Beta Access
Limited release
Coming soon

Ailoos is currently in research and development phase. We're building the foundation for decentralized AI that respects privacy and data sovereignty. Our focus is on creating privacy-preserving AI technologies that will transform industries while protecting user rights.

Available at ailoos.com

Research phase - Limited access available

Ailoos AI Animation

Research Overview

Building the foundation for privacy-preserving AI

Homomorphic Encryption

Perform computations on encrypted data without decryption

Key Focus Areas
Data privacy
Secure computation
Regulatory compliance

Multi-Party Computation

Secure collaborative computation across multiple parties

Key Focus Areas
Joint training
Privacy preservation
Trust minimization

Zero-Knowledge Proofs

Prove statements about data without revealing the data

Key Focus Areas
Computational integrity
Privacy verification
Audit trails

Federated Learning

Train models on distributed datasets without data movement

Key Focus Areas
Data sovereignty
Scalable training
Privacy by design

Ailoos represents our commitment to advancing AI technology while maintaining the highest standards of privacy, security, and decentralization. We're building the infrastructure that will enable AI to work for humanity without compromising individual rights.

Planned Capabilities

Future AI infrastructure for the decentralized era

Federated Learning Network

Train AI models collaboratively across thousands of devices without sharing raw data. Privacy-preserving machine learning at scale.

Decentralized Model Marketplace

Buy, sell, and license AI models on our blockchain-based marketplace with smart contract enforcement and automatic royalty distribution.

Secure Inference Engine

Run AI inference with zero-knowledge proofs ensuring computational integrity without revealing inputs or models.

Distributed GPU Network

Access a global network of GPUs for training and inference, powered by decentralized compute protocols and crypto incentives.

Development Roadmap

Our path to decentralized AI innovation

Phase 1

Research & Prototyping

2025

Phase 2

Framework Development

2026

Phase 3

Beta Testing

2027

Phase 4

Full Launch

2028

Join our journey to create AI that empowers humanity while protecting individual privacy and data sovereignty.

Planned Technologies

Future cryptographic foundations for private AI

Homomorphic Encryption

Perform computations on encrypted data without decryption

Data privacy
Secure computation
Regulatory compliance

Multi-Party Computation

Secure collaborative computation across multiple parties

Joint training
Privacy preservation
Trust minimization

Zero-Knowledge Proofs

Prove statements about data without revealing the data

Computational integrity
Privacy verification
Audit trails

Federated Learning

Train models on distributed datasets without data movement

Data sovereignty
Scalable training
Privacy by design

Future Applications

Potential industry transformations with private AI

Healthcare AI

Collaborative medical research and diagnosis without patient data sharing

Patient privacy
Global collaboration
Accelerated research

Financial Modeling

Risk assessment and fraud detection across institutions

Regulatory compliance
Shared intelligence
Reduced false positives

Autonomous Systems

Vehicle and drone coordination with privacy-preserving data

Safety improvement
Traffic optimization
Privacy protection

Content Moderation

Distributed AI for content analysis and moderation

Scalable processing
Bias reduction
Content integrity

Climate Modeling

Global climate prediction using distributed supercomputing

Accurate predictions
Resource sharing
Global cooperation

Drug Discovery

Molecular analysis and drug design across pharmaceutical companies

Accelerated discovery
Cost reduction
Intellectual property

Future Network Vision

Distributed intelligence spanning the globe

1

Global Coverage

Network Infrastructure

150+ countries, 500+ cities with distributed AI nodes ensuring global accessibility and resilience.

Coverage Status
2

Zero-Knowledge Proofs

Privacy & Security

Cryptographic verification ensuring computational integrity without revealing sensitive data or model parameters.

Implementation Status
3

Sustainable AI

Environmental Impact

Carbon-neutral computing with integrated carbon offset tracking and sustainable energy sourcing.

Sustainability Status
4

Real-Time Processing

Performance & Speed

Sub-100ms inference capabilities enabling real-time AI applications across distributed networks.

Performance Status

Future Model Marketplace

Planned decentralized marketplace for AI models

Pre-trained Models

500+
Available models

From image recognition to NLP

Model Status

AI Compute Power

2.4 PFLOPS
Distributed processing

Federated learning capacity

Compute Status

Active Developers

500k+
Platform users

Building on Ailoos

Community Status

Planned Model Categories

Computer Vision Natural Language Speech Recognition Time Series Reinforcement Learning

Marketplace coming in Phase 3

Ailoos vs. Leading AI Models

Discover how Ailoos differs from existing centralized and decentralized AI models, highlighting its unique advantages in privacy, decentralization, and efficiency.

Feature Ailoos ChatGPT Grok Gemini Claude DeepSeek Llama
Decentralization
Privacy (ZK-proofs) ~ ~ ~ ~ ~ ~
Open-Source Code ~
Multimodality ~ ~ ~
Real-Time (Streaming) ~ ~
Cost (per use) Low (tokenized) Variable Variable Variable Variable Variable Free (local)
Blockchain Integration
Modularity / Customization ~ ~ ~ ~
Data Control User Provider Provider Provider Provider Provider User