Introducing Timeworx

Timeworx.io is the Data Processing Layer for next gen AI, focused on a mission to revolutionize data processing by combining decentralization, AI, and human intelligence to deliver scalable, efficient and transparent solutions. Timeworx.io enables businesses to process their data using a diversified workforce of agents, whether human or AI, incentivized through Blockchain technologies. Their approach is trustless: no agent is considered trusted, whether human or AI. All data processing outcomes need to be deemed correct only through consensus achieved using the decentralized data processing protocol. Timeworx.io employs robust quality control mechanisms as on-chain proofs of performance for all data processing agents. Constant performance validation, regular audits, and feedback loops ensure that the processed data is of the highest quality.

Highlights

• Leverages human and AI agents in the $4B data labeling market
• Enables fairness, privacy and trust in AI
• Trustless by design, Multi-chain from day 1
• More than 1.5M data labeling tasks solved with up to 98% accuracy
• Over 1,000 MAU are spending 30+ minutes per day solving tasks in our mobile app
• Under 1 minute from installing the app to getting rewarded for your contribution to the future of AI
• Over $700k raised to date from angel investors and Republic.com
• Product-driven team solely focused on solving the ground truth for AI

Features & Products

Decentralized Data Processing Platform

Timeworx.io operates as a decentralized and scalable platform for companies to process data efficiently and accurately through a global workforce of human and AI agents. Decentralization is a core principle, ensuring a distributed network of actors across the data value chain. Unlike centralized companies, Timeworx.io aims to democratize data processing, AI, and ML, making these technologies more accessible to companies.

Consensus-Driven Trustless Protocol

The platform’s approach is trustless: no agent is considered trusted, whether human or AI. All data processing outcomes need to be deemed correct only through consensus achieved using the decentralized data processing protocol. Timeworx.io employs robust quality control mechanisms as on-chain proofs of performance for all data processing agents. Constant performance validation, regular audits and feedback loops ensure that the processed data is of the highest quality.

Democratized Access

The main focus at Timeworx.io is to democratize and open access to data labeling for a global audience, without requiring any additional formal training, tedious interviews or unnecessary bureaucracy. This implies breaking down data labelling into simplified tasks that mostly require intuition from data labelers, as well as presenting data labeling through a friendly and easy-to-understand mobile-first user experience.

Gamification and Quality Assurance

The platform employs gamification techniques to ensure the quality of data processing and to keep Human Agents engaged. It constantly monitors and assesses agent performance through four KPIs: Speed, Proficiency, Reliability and Versatility. Based on these KPIs, the platform offers incentives for good performance and penalties for poor behavior. The Punch Card NFT serves as a proof of a user's intelligence and humanity and is required to unlock rewards.

Trusted AI

AI Agents can be registered in the platform as Agent Nodes, enabling them to participate in the data processing protocol in a permissionless manner. The registration process for an Agent Node requires the creation of a staking pool where a sufficient amount of TIX is locked, thus securing the protocol using a PoS mechanism. AI agents receive rewards proportional to their data processing power which is computed as a balance between the size of their staking pools and their performance scores in processing data.

Delegation of Trust

In Timeworx.io, all agents are incentivised to up their game towards obtaining more revenue. On the one hand, AI Agents always seek to maximise their staking pools for a higher chance of participating in the protocol. On the other hand, TIX holders are interested in expanding their rewards even further. The platform brings them both together through delegation of trust: holders can delegate their TIX to an AI Agent’s staking pool, such that both parties become more responsible and educated actors in the decentralised processing protocol.

Roadmap

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: ensuring AI models are trained on diverse, unbiased data to prevent harm
• AI that is Privacy-Enhancing: safeguarding user data with blockchain-backed security and federated learning to keep information confidential
• AI that is Trusted: using a decentralized protocol and consensus-driven validation to deliver accountability without reliance on Big Tech

Our mission to build an innovative platform for the democratisation and decentralisation of data processing, artificial intelligence and machine learning requires an ambitious roadmap that is able to match the objectives we have set.

Business Model & Revenue Streams

At Timeworx.io, the focus is on decentralizing the system to create a financial model where prices are dictated by the market, not by the platform. Our model reflects open market dynamics aligned with the principles of Web3, supporting both our clients and our agents who contribute to the platform:

• Dynamic: the pricing model empowers companies (task creators) and agents (task completers) through a flexible and responsive pricing mechanism.
• Competitive: the platform provides a recommended price for each task, based on a comprehensive analysis of current supply (availability of agents), demand (volume of tasks needing processing), task complexity, and prevailing market conditions.
• Fair: our goal is to ensure that the price recommendation is not only competitive but also reflects the true value of the work required, adhering to the principle of an open market.
• Flexible: agents, in turn, can choose to process tasks based on the offered price, complexity, and their personal preferences or expertise.
• Balanced: by continuously monitoring and adjusting to fluctuations in supply and demand, Timeworx.io ensures that task pricing remains fair, competitive, and aligned with the overarching principles of Web3

Tokenomics & Token Utilities

• Token Ticker: $TIX
• Token Standard: BEP-20
• Network: BSC
• Total Supply: 500,000,000
• Fully Diluted Valuation: $13,750,000
• Initial Market Cap Without Liquidity: $371,250
• Initial Market Cap: $426,250

Finceptor’s investors will participate in the Public Round and will have 40% of their tokens available at launch. The core of the platform is the decentralized protocol for data processing that is governed by the $TIX token for ensuring transparency, traceability and fairness:

• Companies or individuals can use $TIX to request data processing tasks
• Human and AI agents receive $TIX for completing assigned tasks
• Users can stake their $TIX tokens to help secure the protocol, earning rewards in return, white retaining liquidity
• AI agents must lock $TIX to participate in processing tasks, promoting commitment and reliability
• $TIX holders can delegate their tokens to support the development of AI agents, fostering a mutually beneficial relationship
• $TIX can be used to unlock access to next-gen AI through a personal assistant in the app
• $TIX can be used to support academic research projects from universities across the world that are in dire need of data processing for next-gen AI development

Marketing & User Acquisition Strategy

In an effort to increase data diversity and reduce bias, our main focus at Timeworx.io is to democratize and open access to data labeling for a global audience, without requiring any additional formal training, tedious interviews or unnecessary bureaucracy. The main strategies for attracting users in our mobile include: targeted social media marketing, referral programs, leveraging the University Outreach Program for attracting students as data labelers. The main strategies for retaining Human Agents include: targeted social media marketing; fast onboarding, reducing friction for entry; transparent and frictionless monetization of time; gamification techniques for incentivising daily performance; seamless user support and dedicated communication channels; chatbot integration to enable users to exchange data labeling services for accessing state-of-the-art AI models for their day-to-day use.

On the other side of the platform, our initial Customer target is represented by ML engineers and data science engineers from small and medium-sized AI companies. Our strategy is to attract them as our stakeholders, and allow them to use our platform towards building use cases for data labeling. Furthermore, we plan on leveraging the app along with corresponding educational blogs, towards enabling our stakeholders to easily train and fine-tune their AI models. Additionally, we are exploring partnerships with academic institutions with two end goals: sponsoring data processing for cutting innovation for understanding future needs of the market, and contributing our data labeling expertise and potential as part of project consortiums.

Team

Our leadership team has a doctorate background in academia and strong industry experience, harmoniously combining technical excellence, academic rigour, strategic experience and innovation potential. Well-equipped to successfully execute the roadmap, they’re poised to drive Timeworx.io’s growth and establish it as a leader in the data processing and AI markets.

Investors & Partnerships

Backed by tech angels and a community pre-sale on Republic.com, with over $700k investments to date, the Timeworx.io platform is ramping up its customer discovery process, having secured early sales pipelines. Multi-chain from day, Timeworx.io has established key partnerships with blockchain networks like Injective and MultiversX, ensuring the scalable infrastructure needed by the decentralized platform. More blockchains will soon follow. Industry partnerships include Partner Staking and Onicorn.io, which are supporting the integration of Timeworx.io into the broader blockchain ecosystem. The unique collaboration with the National University of Science and Technology Politehnica of Bucharest represents our pledge to support advancements in academic research. As a stepping stone to our future University Outreach Program, Timeworx.io will discover and fund academic research projects from universities across the world that are in dire need of data processing for next gen AI development.

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