Gracy Whitepaper
Summary
Gracy AI is Web3 and AI-powered virtual assistant that offers solutions to various HR challenges in today's businesses. Gracy utilizes artificial intelligence to streamline recruitment process, standardize performance evaluation, and boost team collaboration within the organization's digital workspace.
Gracy AI actively conducts digital workspace activities to bolster connectivity among its members while gathering valuable data. Utilizing 'Large Language Models (LLM)' AI model, Gracy analyzes exchanged messages and uses 'Natural Language Processing (NLP)' techniques to extract essential keywords for user profiling. Through this process, Gracy identifies each member's strengths, weaknesses, core competencies, and personal interests from the amassed messages, tagging them accordingly to refine its AI capabilities.
Gracy Token ($GRACY) is an ERC-20 utility token that plays a crucial role in improving Gracy AI. The token is used in the reward system crafted to stimulate user engagement on the platform, facilitating the collection of data used to train the AI.
Gracy AI and its token, $GRACY, together plays a role within the platform's ecosystem to empower organizations in attaining heightened efficiency in HR management and nurturing a resilient company culture. Gracy AI is the most suitable HR solution for the modern work environment characterized by a growing reliance on digital workspaces.
Background
Emergence of Artificial Intelligence
The evolution of Artificial Intelligence (AI) technology is bringing fundamental changes in today's society. As human-performed tasks can be prone to errors due to inherent physical limitations, particularly when processing vast amounts of data, AI is starting to replace human labor to achieve greater efficiency.
AI's ability to rapidly process extensive datasets facilitates the identification of data patterns and the production of more accurate predictions. This capability of AI allows us to obtain deeper insights from intricate data structures, fueling innovative advancements across diverse fields.
The ongoing progression of AI is redefining the landscape of human work, empowering us to focus on tasks of greater complexity and value.
Challenges in HR Management
Companies and organizations invest significant resources in HR due to the inherent inefficiencies of old-fashioned manual processes. These manual processes often involve labor-intensive tasks in recruitment, talent management, and employee engagement.
Firstly, recruitment process require a substantial amount of time and resources. Reviewing resumes, scheduling interviews, and processing paperwork for new hires can be time-consuming, and this can divert HR personnel from other critical responsibilities. The delay can also result in missed opportunities to secure top talent.
Secondly, manual tracking of employee performance poses significant challenges in gathering and analyzing data effectively. HR departments may struggle to make objective evaluations due to the absence of standardized criteria, which can impede employee motivation.
Thirdly, managing connectivity among members in a digital workspace has become increasingly complex. With the rising prevalence of digital work environments, fostering a sense of community among members has become more challenging, often leading to feelings of isolation among employees.
The Effectiveness of AI in Human Resource Management
Traditional human resource management methods often fall short in addressing the challenges faced by modern organizations. However, integrating AI technology into human resource management can enhance efficiency across all aspects, such as recruitment, performance and evaluation.
In recruitment, AI technology can ease the selection process and pinpoint suitable candidates. Most companies handle a large volume of resumes. AI can automatically sort through these resumes and highlight the most qualified applicants. By analyzing extensive data, it can predict applicant performance, enabling companies to accurately assess candidates and make optimal talent selections.
In performance management, AI can help evaluate and manage employees' performance more objectively. By using AI, companies can establish a data-based, objective evaluation system. Information collected from various digital workspace sources can generate objective performance metrics and benchmark analysis against other employees. AI can quantify each employee's performance, compare it with the organization's overall performance, and identify areas for improvement.
AI can also play a pivotal role in enhancing organizational connectivity. It can facilitate online team building, fostering a culture of idea sharing and collaboration. By analyzing the data generated, AI can understand members' interests and tendencies, suggest optimal team compositions, and assign roles accordingly.
In conclusion, AI technology can offer optimal talent management strategies, data analysis, and insights for human resource departments. This can render human resource management more scientific and systematic, improving organizational performance and employee satisfaction. The application of various AI technologies is anticipated to drive significant changes in the corporate HR landscape.
Gracy AI
Gracy AI is a specialized AI that enhances human resource management. It improves workforce management in the digital workspace and strengthens corporate culture. By analyzing activities within the workspace, it evaluates the competencies of team members, assists in talent management, and fosters a positive organizational culture.
Promotion of Praise and Communication
Gracy AI prioritizes creating a healthy corporate culture. It encourages praising team members whose behavior aligns with the company's core values. While these values can be established through team discussions, Gracy AI can also suggest them by analyzing members' activity records.
In addition, Gracy AI identifies shared interests among team members and proposes various company fellowship programs to foster camaraderie. It also facilitates regular small group gatherings, ensuring opportunities for company-wide input. This approach improves internal communication and collaboration, strengthening bonds and fostering a sense of community within the organization.
Objective Performance Evaluation
In the modern workspace, particularly in a changed work environment, it's essential for HR evaluations to rely on objective data rather than subjective opinions. This is due to the challenge of measuring performance when employees' activities are not visible to one another.
Gracy AI uses activity information gathered in the digital workspace to produce objective reports for each member. This enables the HR management to measure work performance effortlessly without directly tracking each member's attendance. Data provided by Gracy AI is grounded in actual activities, promoting more accurate evaluations.
Talent Recruitment and Company Development
Selecting the right talent from many applicants can be challenging. Gracy AI simplifies this by offering talent recommendations based on the company's activity data. If candidates have prior data with Gracy AI, their compatibility with the company can be quantified. This results in suitable candidate profiles being recommended, saving both time and resources in the recruitment process and improving productivity.
AI technology is transforming the HR industry and serves as a potent tool for company growth and development. Gracy AI helps enhance competitiveness, boost employee satisfaction, and promote a positive corporate culture.
Gracy Token
$GRACY
The Gracy Token (GRACY) is a utility token based on the ERC-20 standard. Its tokenomics are designed to enhance the Gracy AI model and energize the Gracy platform. This directly contributes to the growth of individuals and companies by making human resource development and management more efficient.
Detailed Information
Standard
ERC-20
Name
Gracy Token
Symbol
GRACY
Decimal
18
Total Supply
190,000,000 GRACY
Contract ADdress
0x7C95e7AD2B349dc2f82d0f1117a44B561fA2699a
Tokenomics
GRACY Reward System
The Gracy Token's tokenomics are primarily aimed at securing high-quality data essential for the enhancement of Gracy AI. Active use of Gracy features leads to the acquisition of data necessary for the training of Gracy AI. Therefore, the system is designed to reward community members for service use and to secure quality data.
Importance of Data Acquisition
The significance of data in the advancement of artificial intelligence (AI) technology is increasingly emphasized. High-quality data plays a key role in AI learning; thus, methods of data acquisition are considered a critical element in the advancement of AI technology.
AI models solve problems and identify patterns through learning. Without rich and diverse data, models cannot perform adequate training. Data acquisition plays a crucial role in enabling models to recognize correct patterns and operate smoothly.
Data also provides the basis for AI models to perform accurate predictions and make appropriate decisions. The more diverse and comprehensive the learning data, the more accurate and reliable the prediction results.
For this reason, AI development companies are exerting various efforts to acquire data. Building quality data sets through data collection, cleaning, and categorization is becoming a core competitive strength for the success of AI projects.
Gracy AI Data Collection
Employees in companies that use Gracy AI can supply high-quality data to the AI and earn rewards. Gracy's tokenomics has established a reasonable token reward system that encourages users to contribute the data Gracy AI needs to learn. This transparent and activity-based reward system motivates all participants.
Core Competency Data
Gracy AI collects core competency data from each team member in the digital workspace by facilitating public commendations. When members use Gracy's features to recognize each other's positive actions and work skills, Gracy AI processes and analyzes these commendations using a large language model (LLM) for natural language processing (NLP). It extracts key competencies related keywords from these messages, tags them, and manages them for each member.
Gracy AI also collects various forms of competency data from interactions with the Gracy AI GPT, which assists in tasks. Analyzing patterns in members' questions and information requests helps understand and document work strengths and weaknesses. Gracy incentivizes members to contribute data by offering appropriate token rewards for such activities.
Preferences and Interests Data
Gracy AI organizes various activities in the digital workspace to understand the preferences and interests of members. These activities include exchanging opinions, discussions, and one-on-one conversations. Gracy uses generative AI algorithms to select topics and questions aimed at acquiring diverse preference and interest data.
Gracy uses a large language model (LLM) and natural language processing (NLP) technology to analyze members' responses and viewpoints on given topics. Additionally, by connecting members with different competencies and interests and observing their conversations, Gracy can understand and analyze communication styles and personality traits.
The activities carried out by Gracy not only enhance interactions within the organization but also gather accurate and necessary member data. Participants receive rewards, and the collected data helps HR managers effectively form teams and plan projects by understanding the overall strengths and interests within the workspace.
Revenue Model
The revenue generated by Gracy AI is converted into Gracy Tokens (GRACY) annually, with 50% being burned. The remaining 50% is reallocated to the Company Reserve after a one-year lock-up period. Gracy Tokens allocated to the Company Reserve may be additionally allocated to the Reward Pool in the future for further data acquisition.
Gracy AI Subscription
Many companies operating in the software sector utilize a freemium revenue model, providing features without cost for a limited time before transitioning to a paid subscription for continued use. Gracy mirrors this approach, offering its functionalities at no cost for a set period and then introducing premium features at a cost to generate revenue.
Additional Revenue Model
Data collected through the Gracy platform is generated during standard working hours as corporate members recognize and socially tag each other. This process creates 'People Data,' which includes details about individuals' work styles, communication methods, and collaboration preferences. This data accumulates over time through natural interactions in real-time work environments, providing valuable insights into each team member's job performance, peer recognition, and influence within the organization. This information can significantly influence the company's decision-making process.
After thorough processing and analysis, the People Data accumulated on the Gracy platform can be used for job fit evaluations, team composition optimization, talent discovery, and development strategy formulation. It can also be beneficial in a company's hiring process. For example, companies can use data from the Gracy platform to find candidates that align with job tendencies and team culture more effectively and prioritize them in the hiring process.
In addition to its internal uses, the Gracy platform's value extends to potential external applications. The data collected through this platform could be provided to external hiring platforms, creating new revenue opportunities. Companies can generate revenue by offering data to hiring platforms in the following ways:
  • Data Sales - People Data from the Gracy platform can be sold to hiring platforms for direct revenue. This data can help streamline the hiring process and make it more goal-oriented.
  • Partnership - Gracy could establish strategic partnerships with hiring platforms to co-develop unique recruitment solutions using its data. This collaboration could provide additional value to both platforms through a revenue-sharing model.
  • Insightful Solutions - Companies can use the accumulated data to develop offerings that provide deep insights and analytical reports to hiring platforms. These offerings can help hiring platforms' clients recruit candidates more in line with their objectives, thus generating additional revenue.
In conclusion, the data collected on the Gracy platform is a valuable asset. It not only supports a company's internal decision-making processes but also creates new revenue streams through external collaborations with hiring platforms.
Token Allocation
AmountRatio
Initial Circulating Supply38,500,00020.26%
Reward Pool50,000,00026.32%
Company Reserve20,000,00010.53%
Marketing & Operations20,000,00010.53%
Team10,000,0005.26%
Token Sale50,000,00026.32%
Advisory1,500,0000.79%
TOTAL190,000,000100.00%
Circular 03
Circulating Supply
The total supply of GRACY in the market as of January 1, 2023.
Trophy
Reward Pool
26% of the total supply of GRACY is allocated to the reward pool, which is used to attract new users and secure high-quality HR data.
Shop
Company Reserve
10% of the total supply of GRACY will be allocated to the company reserve. The company reserve amount will be used to sign partnerships and attract new investments. Additionally, if the budget for marketing or reward pools is insufficient in the future, the reserve amount may be utilized.
Line 01 Up
Marketing & Operations
10% of the total supply of GRACY will be used for labor and operating expenses needed to develop Gracy product.
Users
Team
10% of the total supply of GRACY goes to team members who contributed to Gracy's planning and development.
Coins 02
Token Sale
26% of the total supply of GRACY will be allocated to initial investors.
Bank
Advisory
0.8% of the total supply of GRACY is allocated to advisors who contribute to the growth of Gracy.
Lockup Schedule
Starting from January 1, 2023, all Gracy tokens will be unlocked evenly over a period of 36 months.
Gracy Features
👏 Grace
Grace facilitates public recognition and appreciation of colleagues' contributions. By enabling the exchange of praise messages, it strengthens connections between employees and fosters a sense of belonging within the organization. If an organization has established core values, Grace can reinforce them. Even without set core values, Grace can analyze messages and assign relevant tags, thereby promoting a culture of appreciation.
✏️ Whiteboard
Whiteboard offers employees a platform to share opinions and engage in discussions on various topics, ranging from everyday matters to profound organizational rules. It encourages open dialogue, thereby enhancing collaboration and inclusivity within the organization.
🎧 Shuffle
Shuffle supports one-on-one communication among employees, a vital aspect of a healthy organizational culture. It regularly organizes meetings between employees and provides quizzes to deepen mutual understanding. By encouraging everyday conversations in today's collaborative work environments reliant on collaboration tools, Shuffle enhances employee engagement and morale.
💬 Talk
Gracy utilizes OpenAI's language model, ChatGPT, to deliver real-time Q&A services through natural language processing. It enhances work productivity and efficiency by addressing work-related queries. Conversations with Gracy can be conducted via direct messages in the collaboration tool. In addition to aiding with daily tasks, it also handles real-time inquiries about Gracy's improved and streamlined features.
📊 Analytics
Admin Analytics
Gracy offers comprehensive analytics on workspace member activity, presented through visualizations tailored for managers and executives. Through AI-generated workspace reports and user profiles that reflect organizational usage trends, Gracy aids HR team in formulating impactful internal cultural policies.
User Analytics
Gracy provides personalized AI reports to every member of the organization based on the member's workspace activity data. These reports can serve as valuable tools for individuals to recognize their strengths and areas for enhancement, fostering personal growth for optimal performance.
🎤 Interview
Gracy cultivates an environment where all members can share honest feedback. It provides growth opportunities for all employees, transcending the organization's hierarchical structure. Through anonymous feedback, Gracy aids in enhancing work methods, goals, and performance, thus fostering positive outcomes.
👂 Whisper
Gracy cultivates an environment where all members can share honest feedback. It provides growth opportunities for all employees, transcending the organization's hierarchical structure. Through anonymous feedback, Gracy aids in enhancing work methods, goals, and performance, thus fostering positive outcomes.
Legal Disclaimer
This Whitepaper provides general information about Oxid LTD and is current as of March 28th, 2024. The content is regularly reviewed and updated. However, we reserve the right to renew this Whitepaper at any time. The objectives outlined in this paper may not necessarily be achieved or completed as intended. Any plans, objectives, or other information provided should not be considered absolute.Participating in token sales can be highly speculative and carries a risk of complete loss of principal. Prospective buyers should carefully review the Token Terms and Conditions and consider all related risks. This Whitepaper does not guarantee security. In many areas, token sales are scrutinized, and relevant regulations may not be fully enacted. Some organizations consider token sales to meet the requirements of an investment sales contract.This Whitepaper does not recommend the purchase of $GRACY tokens in any way. Regulations related to cryptocurrency are constantly changing, so participating in the purchase of $GRACY tokens can be a significant risk. Prospective buyers should consult with legal and tax experts before making any decisions.The distribution or dissemination of this Whitepaper may be prohibited or restricted by laws or regulatory requirements in certain jurisdictions. Legal advice regarding all applicable restrictions should be obtained before purchasing or owning $GRACY tokens.No person who has distributed, accessed, or otherwise possesses this Whitepaper shall distribute, duplicate, or otherwise disseminate it to others. No regulators have reviewed, inspected, or approved the information described in this Whitepaper, and no jurisdiction has implemented such measures nor has plans to do so.
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