Private. Verifiable. Intelligence.
The ZK Compute Factory for training AI models on private data.
Unlock the value of sensitive datasets without ever exposing them.
Zero-Knowledge Proof of Training
Train models on encrypted data. Verify computation mathematically. No trust assumptions required.
Homomorphic Encryption (HE)
Perform complex computations directly on ciphertext without decryption. Data remains private throughout the entire lifecycle.
Learn more ›Decentralized Compute
A global network of staked nodes processing encrypted workloads. Earn $ZEKTRA by contributing compute power.
Explore Network ›Zektra Testnet V1
The first phase of our encrypted compute layer is coming soon. Join the waitlist for early access.
Read Announcement ›The ZK Compute
Pipeline
From encrypted upload to verifiable result, every step is secured by cryptography.
Encrypt
Data owners encrypt datasets locally. Zektra never sees plaintext.
Upload
Encrypted data is stored in decentralized, zero-exposure vaults.
Compute
Nodes train models on ciphertext using Homomorphic Encryption.
Verify
ZK-Proof is generated to certify correctness of the computation.
Ready to experience privacy-preserving AI?
Explore DocumentationThe Privacy Paradox
The world's most valuable data is locked away.
Zektra is the key to unlocking it without compromise.
Privacy Blocks Innovation
GDPR, HIPAA, and regulations lock away valuable data.
Trusted Systems Fail
TEEs and federated learning still leak gradients and data.
Centralized Control
Big tech monopolies control the compute and the models.
Encrypted Training
Train directly on ciphertext. Data is never decrypted.
Verifiable Compute
ZK-proofs mathematically guarantee correct execution.
Decentralized Power
Community-owned compute network with open access.
Deep Tech Stack
Built on the intersection of advanced cryptography and distributed systems.
Verifiable intelligence for the next generation of AI.
Homomorphic Encryption
Compute directly on encrypted data. Matrix operations and convolutions without decryption.
ZK Proof-of-Training
Cryptographically verify that the model was trained correctly on the exact dataset specified.
Decentralized Compute
A global mesh of staked nodes. Fault-tolerant, scalable, and censorship-resistant.
Sovereign Keys
Data owners hold the keys. Multi-party computation ensures no single point of failure.
Universal Model Support
Real World
Use Cases
From healthcare diagnostics to financial trading systems, Zektra enables organizations to train AI models on sensitive data without ever exposing a single byte. Experience privacy-preserving AI at scale.
See For YourselfZektra
Ecosystem
Explore the Zektra ecosystem, focusing on contributions by our community. The platform is built around privacy-first principles, each component highlighting our commitment to verifiable, encrypted AI.
Get Into ItCore Features
View All FeaturesData Monetization
Earn from your private data without ever revealing it. New asset class unlocked.
Verifiable Output
Receive mathematical proof that your model was trained correctly on the specified data.
Regulatory Compliance
GDPR & HIPAA compliant by design. Data never leaves its encrypted state.
Why Zektra?
The only solution that offers both absolute privacy and mathematical verification.
Enterprise-Grade
Security & Compliance
Designed for the most regulated industries. Zektra ensures that your data remains compliant with global standards while unlocking its full potential.
GDPR & HIPAA
Full compliance via zero-exposure architecture.
Auditable Logs
Immutable on-chain proof of all computations.
AES-256 + HE
Military-grade encryption at rest and in transit.
Data Sovereignty
You keep the keys. You control the data.
System Evolution
Progressive decentralization sequence. Verifiable milestones.
Q4 2025
Foundation of ZK Compute
Build the core cryptographic and compute infrastructure for the Zektra ecosystem.
- ›Deploy HE Layer & ZK Prover
- ›SDK for Encrypted Training
- ›Onboard Early Nodes
- ›Basic Model Frameworks
- ›Open Documentation
Q1 2026
Compute Network Expansion
Scale the decentralized compute mesh and enable marketplace activity.
- ›Zektra Testnet V1 Launch
- ›Dual Staking System
- ›Multi-framework Support
- ›Encrypted Dataset Uploads
- ›Cross-chain Bridges
Q2 2026
Private AI Marketplace
Turn Zektra into the world’s first encrypted data-driven AI marketplace.
- ›AI Marketplace Launch
- ›Zektra Mainnet V1
- ›Data Monetization Modules
- ›ZK Trust Score System
- ›Collaborative Training
Q3 2026
Autonomous Economy
Full autonomy, global scale, and universal encrypted AI compute.
- ›Zektra DAO Governance
- ›Self-optimizing Clusters
- ›Autonomous Privacy Agents
- ›Real-world Integrations
- ›Global ZK Training Network
From the Archives
Deep dives into zero-knowledge cryptography, decentralized compute, and the future of private AI.
The End of Data Leaks: Introduction to Homomorphic Encryption
Why decrypting data for processing is a security flaw of the past. Learn how Zektra enables computation on ciphertext.
Zero-Knowledge Proof-of-Training: Verifying AI Without Trust
How do you know an AI model was trained on the correct data? ZK-PoT provides mathematical certainty.
Monetizing Private Data: A New Asset Class
For the first time, healthcare and financial institutions can safely monetize their most sensitive datasets.
Stop Trusting.
Start Verifying.
Join the first decentralized marketplace for private AI. Monetize your data, train models securely, and build the future of intelligence.