Phase 1
Research & Prototyping
Validate privacy-preserving primitives, prototype federated pipelines, and define verification standards.
Cryptography R&D
Proof-of-learning
2025
Advanced AI platform
AI • Blockchain • Web3 • Decentralization
Ailoos pioneers privacy-preserving AI through federated learning and zero-knowledge proofs, enabling collaborative intelligence without compromising data sovereignty.
Building the foundation for privacy-preserving AI
Ailoos focuses on verifiable, privacy-preserving training and inference. We combine cryptographic proofs with distributed compute to enable collaboration without exposing raw data.
Research deliverables prioritize auditability, composability, and policy alignment for regulated industries.
Developing decentralized training protocols that enable collaborative learning without exposing raw datasets.
A global network of distributed resources for scalable training and inference without centralized control.
Ailoos represents our commitment to advancing AI technology while maintaining the highest standards of privacy, security, and decentralization. We are designing the primitives required for real-world deployment in healthcare, finance, and critical infrastructure.
Future AI infrastructure for the decentralized era
Perform computations on encrypted data without decryption
Secure collaborative computation across multiple parties
Prove statements about data without revealing the data
Train models on distributed datasets without data movement
Each capability is designed to be composable: federated training, verifiable inference, and distributed compute can be deployed independently or combined into regulated workflows. Architecture decisions prioritize auditability, governance alignment, and predictable economics.
Our path to decentralized AI innovation
Validate privacy-preserving primitives, prototype federated pipelines, and define verification standards.
Build production-grade orchestration for distributed compute, policy constraints, and verifiable inference.
Validate real workloads with early partners, publish measurable performance metrics, and harden security.
Release the network with verifiable compute incentives, governance integration, and ecosystem-grade tooling.
Future cryptographic foundations for private AI
Perform computations on encrypted data without decryption
Secure collaborative computation across multiple parties
Prove statements about data without revealing the data
Train models on distributed datasets without data movement
Our decentralized AI network spans the globe, connecting compute resources and data securely across continents.
Nodes are intentionally concentrated in Asia and Africa to maximize reach, resilience, and data-sovereign deployment across emerging and high-growth regions.
Join developers and organizations who are building privacy-preserving AI applications on a decentralized platform designed for data sovereignty and computational integrity.
Access cryptographic primitives and distributed compute to build privacy-preserving AI applications.
Open docsDeploy AI solutions that comply with regulations while maintaining data sovereignty and security.
Contact salesContribute to the development of privacy-preserving AI technologies and cryptographic protocols.
Join researchPrivacy • Security • Decentralization • Innovation
A structured, capability-level comparison highlighting decentralization, privacy posture, transparency, and operational characteristics.
| 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 |