Overview

Overview

TasQ is a privacy-first distributed computing platform built to change how computational workloads are processed. It uses a quantum-inspired ledger architecture combined with zero-knowledge proof systems to deliver secure, parallel task execution across a decentralized network of computing contributors.

In practice, TasQ serves as a task fulfillment layer that breaks down workloads into smaller segments and processes them concurrently on multiple independent nodes. This structure shortens execution time, maximizes hardware efficiency, and validates results through verifiable cryptographic proofs.

The system is designed for a broad range of use cases, from AI model training and large-scale data analysis to simulation and research workloads. Contributors provide CPU, GPU, RAM, and network bandwidth without revealing private data or allowing access to their storage. Task results are validated and stored on the TasQ ledger to maintain transparency and verifiability.

The architecture uses Ethereum mainnet for payout settlement, Optimism for credit tracking, and Microsoft Azure for high-capacity, secure storage. This blend of blockchain integration and cloud infrastructure ensures scalable growth, reliable performance, and strong privacy guarantees, positioning TasQ as a credible and practical solution in distributed computing.