Our Vision

Our society is currently generating and processing data at skyrocketing rates, with greater speed, accuracy and volumes than ever before in our entire history. This sudden explosion in data creation has driven innovations in Artificial Intelligence and Machine Learning, which are now sweeping across all industry sectors, and even reaching the fabric of our societies.

However, data processing, AI & ML are mainstream and part of the competitive repertoire of large global companies. Small & medium-sized businesses are limited in the use of AI, as the software that leverages AI is too expensive and the technical gap is too wide. As such, SMBs create vulnerable dependencies with large digital platforms that exploit their competitive position.

We believe that data processing, Artificial Intelligence and Machine Learning are in dire need of democratisation and decentralisation. To address these challenges, we introduce Timeworx.io - a powerful, scalable, and future-proof platform for businesses to process data easily and accurately by using a decentralised and scalable workforce of agents, whether human or AI, incentivised through Blockchain technologies.

The core of the platform is the decentralised protocol for data processing that is governed by the TIX token for ensuring transparency, traceability and fairness. Any business can request data processing services using TIX and, from then on, the protocol binds Agents for processing the data in exchange for TIX. Our approach is trustless: no Agent is considered trusted, whether human or AI. Our innovative decentralised protocol ensures that the ground truth in data processing is determined through Consensus, and that performance is accounted for using on-chain proofs.

Our mission is to bridge the gap between human and artificial intelligence towards solving the ground truth for AI. We are driven to make the most of the virtuous cycle between data processing and AI, and to help businesses in transitioning from human data processing towards automated data processing.

Our vision is to create a space where everyone can contribute to a more ethical, open and mutually equitable future of AI development guided by these three objectives: AI that is fair, AI that is privacy-enhancing and AI that is trusted.

Have we peaked your interest? Let’s dive in!

How to navigate this documentation

This documentation is designed to be comprehensive, yet able to adapt to audiences of varying technical backgrounds. Each main chapter includes specific sections, or nutshells, with the purpose of introducing technical concepts to our readers in an accessible manner.

We have also defined aFast Track that allows users to quickly navigate through the highlights. Although we recommend going through this documentation in its entirety, readers are encouraged to choose the path that is most suitable for them.

Fast Track

Go directly to The Problem if you are already familiar with the basic concepts for Data Growth and Data Processing.