Our Technology

Zektra represents a convergence of cutting-edge cryptographic and distributed technologies.

A. Homomorphic Encryption (HE)

Allows computations—matrix operations, convolutions, activations—to be performed on encrypted values. Data remains private throughout the entire training process.

Zektra supports optimized HE schemes for ML, enabling:

• Ciphertext-ciphertext operations

• Encrypted gradient descent

• HE-friendly neural networks

• High-performance polynomial approximations for activation functions

B. Zero-Knowledge Proofs (ZK-PoT)

Zektra introduces Zero-Knowledge Proof-of-Training, providing:

• Proofs that the training adhered to the correct computation graph

• Proofs that encrypted weights were updated correctly

• Proofs that no shortcuts or tampering occurred

• Proofs that data was not swapped or modified

This eliminates the need to trust compute nodes.

C. Decentralized Compute Network

A global network of staked GPU/CPU providers processes encrypted workloads.

Key technology elements:

• Deterministic job assignment

• Fraud proofs and slashing

• Proof aggregation

• Asynchronous workload batching

• Node reputation scoring

This makes Zektra infinitely scalable and resilient.

D. Cryptographic Key Management

Data owners and developers maintain full control over encryption keys. Zektra uses:

• Multi-key HE for multi-party collaboration

• Threshold key systems for distributed authorization

• Zero-exposure protocols for dataset access

Keys remain sovereign—never shared, never revealed.

E. Cross-Chain Interoperability

Zektra integrates with:

• Ethereum

• ZK-rollups

• Modular L2s

• Enterprise compute environments

This makes Zektra compatible with both Web3 decentralization and enterprise compliance.