SNET <> Quatern.ai Integration

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QuaternAI
Project Owner

SNET <> Quatern.ai Integration

Funding Requested

$85,000 USD

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Overview

Quatern.ai's mission is to build a smart contract-based protocol in which individual AI models collaboratively make predictions as an ensemble model and are rewarded fairly according to their individual contribution. This project proposes the integration of Quatern.ai's ensemble AI models into the SingularityNET framework, thus expanding the outreach of the SNET platform.

Proposal Description

How Our Project Will Contribute To The Growth Of The Decentralized AI Platform

This integration will enrich SingularityNET's model landscape by adding Quatern.ai's innovative ensemble models. We believe the decentralized/collaborative philosophy behind Quatern.ai perfectly suits the mission of SNET. This will attract new users and developers keen on leveraging collaborative and fairly rewarded AI technologies, thus expanding SNET's user base and fostering a more vibrant ecosystem.

Our Team

Our team's main strengths lie in our deep expertise in blockchain technology and advanced AI systems. One team member brings significant experience in developing decentralized applications on blockchain, ensuring robust, secure integration of technologies. Another member specializes in AI model development, including ensemble methods that enhance predictive performance.

View Team

AI services (New or Existing)

Quatern.ai Ensemble Predictor

Type

New AI service

Purpose

To provide enhanced predictive capabilities through the collective intelligence of multiple AI models, facilitating more accurate, robust, and comprehensive solutions across various domains.

AI inputs

User-provided data relevant to specific challenges or queries (could range across a variety of application fields from healthcare diagnostics and financial forecasting to environmental monitoring).

AI outputs

Aggregated predictions from the ensemble of AI models, offering a refined output that leverages the strengths of diverse AI methodologies and data sources for superior accuracy and reliability.

The core problem we are aiming to solve

The core problem we aim to solve is the enhancement of SingularityNET’s existing AI capabilities by transitioning from individual to collaborative model operations. By integrating Quatern.ai’s ensemble AI models, we aim to introduce a synergistic approach that leverages the collective intelligence of multiple models, thus broadening the platform’s predictive capabilities and fostering a dynamic AI ecosystem.

Our specific solution to this problem

Our solution leverages Quatern.ai's decentralized and collaborative platform to integrate its ensemble AI models into the SingularityNET framework, expanding the array of AI models available on SNET and attracting new users to both platforms. Quatern.ai operates on the principle of collective intelligence, where individual AI models work collaboratively to enhance their predictive capabilities, managed through a smart-contract-based protocol on the Cardano blockchain. This integration will allow for a seamless fusion of Quatern.ai’s models with SingularityNET’s existing infrastructure.

The integration process will involve:

  1. Model Compatibility and Integration: Ensuring that Quatern.ai models are compatible with the SingularityNET protocol, including adapting the API interfaces and data exchange formats.
  2. Decentralized Governance: Implementing governance mechanisms to manage the integration and operation of ensemble models, leveraging blockchain technology to ensure transparency and fairness in model rewards.
  3. Tokenomics and Incentives: Integrating the token-based reward system of Quatern.ai with SingularityNET to motivate and fairly compensate developers and contributors across both platforms.
  4. Community and Ecosystem Development: Fostering a community around the integrated offerings, providing support, resources, and incentives to encourage participation and growth.

Project details

For a full description of Quatern.ai's mission, approach, and potential application areas, we refer to our comprehensive whitepaper. Also, check out the Quatern.ai website for up-to-date information on mission, roadmap, etc.

Our solution uniquely integrates Quatern.ai's ensemble AI models with SingularityNET's decentralized framework, leveraging blockchain for enhanced transparency and collaboration unlike any other in the market. This integration allows AI models to operate not in isolation but as part of a collective, enhancing predictive accuracy and robustness. By combining Quatern.ai’s model aggregation with SingularityNET’s AI marketplace, we create a synergistic ecosystem where developers can contribute and monetize their AI innovations more effectively. The use of a token-based reward system ensures fair compensation and incentivizes continuous improvement of AI models. Furthermore, our dual-platform approach expands user access and functionality, appealing to a broader audience across various industries. This strategic alliance positions us to succeed by providing comprehensive, cutting-edge AI solutions that are scalable, secure, and user-centric, meeting the growing demand for decentralized and collaborative AI technologies in the market.

Existing resources

Development on the Quatern.ai side is already in full swing, adhering to the timeline outlined at Quatern.ai . Resources invested in crafting the comprehensive whitepaper and initial marketing efforts are existing assets. These resources, already in place, do not require additional funding but are provided as foundational components of the project. This commitment demonstrates the readiness and proactive approach of our team, ensuring a robust start for the integration project with SingularityNET.

Open Source Licensing

GNU GPL - GNU General Public License

Revenue Sharing Model

Token Allocation

We are planning for a token launch in:

2024-Q3

If awarded by Deep Funding, we will allocate this percentage of the total token supply to SNET / Deep Funding:

5

Token Description (type, value, utility):

The $QAI token is a utility token at the core of the Quatern.ai ecosystem. It serves multiple vital functions:

  • Utility:
    • Rewards for Contribution: $QAI tokens reward users who contribute AI models based on their performance in solving real-world problems, incentivizing high-quality contributions.
    • Access to AI Solutions: Users spend $QAI tokens to access the aggregated AI predictions, facilitating a marketplace for AI solutions.
    • Governance: Token holders can participate in governance decisions, influencing the development and operational aspects of Quatern.ai, ensuring that it evolves in line with community interests.

These utilities aim to foster a self-sustaining ecosystem where contributions are directly incentivized, and AI solutions are democratized, making advanced AI accessible to a broader audience.

Proposal Video

Placeholder for Spotlight Day Pitch-presentations. Video's will be added by the DF team when available.

  • Total Milestones

    4

  • Total Budget

    $85,000 USD

  • Last Updated

    20 May 2024

Milestone 1 - API Calls & Hostings

Description

This milestone represents the required reservation of 25% of your total requested budget for API calls or hosting costs. Because it is required we have prefilled it for you and it cannot be removed or adapted.

Deliverables

You can use this amount for payment of API calls on our platform. Use it to call other services, or use it as a marketing instrument to have other parties try out your service. Alternatively you can use it to pay for hosting and computing costs.

Budget

$21,250 USD

Milestone 2 - Integration Framework Establishment

Description

Develop a detailed plan for integrating Quatern.ai’s ensemble AI models into the SNET framework. This involves defining technical specifications, integration points, and collaboration protocols between the two platforms.

Deliverables

A comprehensive integration blueprint document detailing the system architecture, data flow diagrams, and initial API specifications for incorporating Quatern.ai models into the SNET ecosystem.

Budget

$15,000 USD

Milestone 3 - Development and Testing

Description

Implement the integration blueprint by developing the necessary API connections, data processing pipelines, and user interfaces. Follow this with rigorous testing to ensure seamless functionality and security compliance.

Deliverables

Fully functional integration protocols and APIs, accompanied by a detailed report of testing outcomes, bug fixes, and performance benchmarks, ensuring the system’s readiness for live deployment.

Budget

$43,750 USD

Milestone 4 - Launch and Community Engagement

Description

Officially launch the integrated service on the SNET platform. This phase includes the rollout of marketing and community engagement strategies to promote the new service and encourage adoption.

Deliverables

Launch event materials, promotional campaigns, and initial user feedback reports. Additionally, provide analytics on early adoption rates and a strategic plan for ongoing community engagement and service improvement based on user input.

Budget

$5,000 USD

Join the Discussion (2)

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2 Comments
  • 0
    commentator-avatar
    Bej_Ben
    May 30, 2024 | 6:18 AM

    Hello, and thank you for the time submitting this interesting proposal.I just have 2 question, step 1 is "Model Compatibility and Integration: Ensuring that Quatern.ai models are compatible with the SingularityNET protocol, including adapting the API interfaces and data exchange formats."What happens if incompatibility is found. Second question, is wondering whether LLM type AI services can be integrated with the Quatern.ai protocol, like RAG and other addons, or what type of services can be used.I like this project direction, and hope there is opportunity for this plan to happen.

    • 0
      commentator-avatar
      QuaternAI
      Jun 10, 2024 | 8:21 AM

      Thank you for your questions! 1. Incompatibility: Since both protocols focus on decentralized AI model deployment, the primary task is to align API interfaces. If incompatibilities are found, we will handle it by converting data exchange formats to ensure smooth integration. 2. AI Model Integration: Yes, Quatern.ai can integrate any type of AI model, including LLMs. We have already considered some LLM-specific experiments; please see here for more details. We appreciate your interest and support!

Reviews & Rating

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10 ratings
  • 0
    user-icon
    Sarah_AI
    Jun 10, 2024 | 8:49 AM

    Overall

    5

    • Feasibility 4
    • Viability 5
    • Desirabilty 5
    • Usefulness 5
    Interesting Approach towards Collaborative AI

    Quatern.ai’s proposal to integrate its ensemble AI models into SingularityNET is quite innovative. By leveraging what they call collective intelligence, this project aims to provide more accurate and robust AI predictions, which would be a significant advancement and nice contribution to the SNET ecosystem. The decentralized approach should ensures transparency and fairness, fostering a collaborative ecosystem that benefits both developers and users.

    It should not be underestimated that the complexity of integrating various AI models and ensuring compatibility could present challenges. Nevertheless, the potential rewards seem to outweigh these challenges, making this project a highly promising addition to the AI landscape. The concept of collaborative AI models working together to enhance predictive accuracy is not only intellectually interesting but seems also highly practical for real-world applications.

  • 0
    user-icon
    maxxxxxx
    Jun 10, 2024 | 8:52 AM

    Overall

    5

    • Feasibility 5
    • Viability 4
    • Desirabilty 5
    • Usefulness 5
    Great Idea with some (surmountable) Challenges

    Quatern.ai’s integration with SingularityNET represents an interesting direction forward in decentralized AI. The proposal idea seems to lie in its ability to harness the collective power of multiple AI models, enhancing the predictive capabilities across various domains. This decentralized protocol ensures fair rewards and transparency, which are crucial for fostering an engaged developer community.

    While the project’s potential could be immense, overcoming the technical challenges of integrating diverse AI models and ensuring seamless functionality will be critical. The focus on practical applications, such as improving healthcare diagnostics and financial forecasting, demonstrates the real-world impact of this initiative.

    Despite the hurdles, Quatern.ai’s approach offers a compelling vision for the future of collaborative AI.

  • 0
    user-icon
    Nicolad2008
    Jun 7, 2024 | 3:46 PM

    Overall

    4

    • Feasibility 3
    • Viability 4
    • Desirabilty 4
    • Usefulness 3
    Project Prospects

    The project creates a diverse and powerful AI system. However, like any promising technology project, it also faces significant challenges. One of the biggest challenges for this project was the complexity of integrating AI models from different platforms. This requires not only technical compatibility but also consensus and cooperation between development teams. Managing and maintaining this system is also a notable issue, especially when each AI ensemble model is continuously updated and developed. In addition, ensuring data privacy and security is a factor that cannot be ignored. In a decentralized environment like SingularityNET, protecting users' personal information and data is extremely important. Any vulnerabilities in the system can lead to threats to the security and reputation of the project. However, it cannot be denied that the application of ensemble AI models has great potential in improving the quality and accuracy of predictions. The intelligent combination of many single models creates a diverse and flexible AI system, capable of solving complex problems and providing effective solutions for many fields.

  • 0
    user-icon
    Nicolas Rodriguez
    May 24, 2024 | 11:53 AM

    Overall

    4

    • Feasibility 3
    • Viability 4
    • Desirabilty 5
    • Usefulness 4
    A Collaborative Leap Forward

    Your project resonates deeply with the spirit of collaborative innovation that defines the AI landscape. The integration of Quatern.ai's ensemble models into SingularityNET is a bold move.

    Feasibility

    The technical aspects seem well-considered, and the integration plan is comprehensive. Leveraging Cardano's smart contract capabilities is a smart move for ensuring fairness and transparency.

    Viability

    The potential for growth and revenue generation is high, given the increasing demand for sophisticated AI solutions. However, thorough market analysis and a sustainable business model are essential.

    Desirability

    The concept of collaborative AI models working in harmony is not only intellectually stimulating but also highly desirable in a world seeking more accurate and robust AI predictions.

    Usefulness

    The practical applications across various industries are vast, promising to deliver real-world value. The integration with SingularityNET's existing infrastructure is a key strength.

    I am the designer of Transcendence Platform. We made a proposal for AI-enabled holograms, aiming to create a holographic virtual assistant for various applications, such as customer care, emotional support, advertising, and entertainment. By combining advanced AI with holographic technology, we enable natural and empathetic interactions that enhance the user experience. I invite you to watch it and give me your opinion. Thank you very much. Check it out here: https://deepfunding.ai/proposal/revolutionizing-assistance-3d-holographic-ai/

     

  • 0
    user-icon
    TrucTrixie
    Jun 9, 2024 | 1:30 PM

    Overall

    4

    • Feasibility 5
    • Viability 3
    • Desirabilty 3
    • Usefulness 4
    Claims of effectiveness

    I understand the goal that Quatern.ai wants to achieve. The capabilities of AI through collaborative model integration are the clearest proof of the effectiveness of the proposal. But there is one thing that we always have to consider in the end: the effectiveness of technology applied in real life. The final reality is that we have to consider whether users and developers care about this product or not. Therefore, I probably need the author's confirmation on this.

    user-icon
    QuaternAI
    Jun 10, 2024 | 8:31 AM
    Project Owner

    Thanks for your review and question. The real-life effectiveness of Quatern.ai’s technology is grounded in several key factors. First, there is significant user and developer interest due to the collaborative model benefits, which offer superior predictive capabilities through collective intelligence. Additionally, our token-based reward system incentivizes developers to contribute high-quality models, ensuring continuous improvement and innovation.

    Regarding real-world applications, the versatile use cases of AI and machine learning are already well-documented in society. By implementing a decentralized ensemble model, these effects will be further enhanced, providing more powerful and accurate solutions across various domains.

    We believe these factors will drive user and developer engagement, ensuring the real-world effectiveness of our technology.​

  • 0
    user-icon
    Ayo OluAyoola
    May 25, 2024 | 3:53 PM

    Overall

    4

    • Feasibility 3
    • Viability 3
    • Desirabilty 4
    • Usefulness 4
    AI for AI Model Aggregation

    Usefulness
    Quatern.ai aims to enhance SingularityNET’s AI capabilities by introducing a collaborative approach where multiple AI models work together to make predictions. This integration could significantly improve predictive accuracy and robustness by leveraging collective intelligence. Using blockchain to manage and reward contributions adds transparency and fairness, which are valuable in AI development. However, the practical benefits will largely depend on the ensemble models' successful implementation and real-world application.

    Desirability
    Collaborative AI models are appealing as they align with the growing trend towards decentralized and collective intelligence. This approach will likely attract developers and users interested in cutting-edge AI technology and fair reward systems. Integrating SingularityNET’s decentralized platform makes the project even more attractive, fostering a dynamic and innovative ecosystem. The main challenge will be effectively communicating the benefits to potential users and ensuring the system is user-friendly.

    Viability
    The project's viability depends on several factors, including the technical challenges of integrating Quatern.ai’s models with SingularityNET’s framework, ensuring model compatibility, and establishing decentralized governance. While the project has a clear plan, the complexity of these tasks could pose significant hurdles. Additionally, the success of the token-based reward system will depend on its ability to attract and retain contributors. There is potential, but execution will be critical.

    Feasibility
    The project's feasibility is moderate. To integrate the models successfully, the team needs to address various technical and logistical challenges. Using blockchain for governance and rewards is innovative but could be complex. The project requires strong collaboration between developers from both platforms and effective management of the integration process. While the concept is promising, the feasibility will depend on careful planning and execution.

    Summary
    Overall, Quatern.ai presents an innovative approach to enhancing AI capabilities through collaborative model integration. The project has a high potential to contribute significantly to the growth of the SingularityNET platform by introducing a synergistic ecosystem that leverages collective intelligence. However, the project's success will depend on addressing technical challenges, ensuring effective integration, and providing clear benefits to users and developers. With careful execution, Quatern.ai could be a valuable addition to the decentralized AI landscape.

  • 1
    user-icon
    Joseph Gastoni
    May 21, 2024 | 3:53 AM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 4
    • Usefulness 4
    the integration of Quatern.ai\'s ensemble AI model

    This proposal outlines the integration of Quatern.ai's ensemble AI models into SingularityNET's platform. Here's a breakdown of its strengths and weaknesses:

    Feasibility:

    • Moderate: The technical challenge lies in ensuring compatibility between different AI model structures and data formats.
    • Strengths: Both platforms are built on decentralized principles, potentially simplifying integration.
    • Weaknesses: Adapting models and data formats for compatibility might require significant effort.

    Viability:

    • Moderate: Success depends on the value proposition for developers and users, competition in the AI marketplace, and potential network effects.
    • Strengths: The focus on collaboration and fair rewards for AI models could incentivize developer participation.
    • Weaknesses: The proposal needs to address how this integration differentiates itself from existing solutions in the SingularityNET marketplace.

    Desirability:

    • Moderate: For developers seeking a platform for collaborative AI models with fair rewards, this project can be desirable.
    • Strengths: The focus on a unique ensemble model approach and token-based rewards offers potential benefits.
    • Weaknesses: The proposal needs to demonstrate the clear advantages of ensemble models over existing offerings in the marketplace.

    Usefulness:

    • Moderate (potential): This project has the potential to improve the capabilities and user base of SingularityNET by introducing ensemble models.
    • Strengths: The collaborative approach to AI models could lead to more robust and accurate predictions.
    • Weaknesses: The proposal lacks details on how the integration ensures the quality and effectiveness of the ensemble models.

    Additional Points:

    • Developing a clear value proposition for developers explaining the benefits of using Quatern.ai's models on SingularityNET is crucial.
    • Providing mechanisms for users to evaluate and compare the performance of different AI models (individual and ensemble) can enhance user experience.
    • Addressing potential challenges like data privacy and security in a multi-platform environment is important.

    Overall, integrating Quatern.ai's ensemble models with SingularityNET has the potential to be valuable. However, focusing on a clear differentiation strategy, ensuring model compatibility and quality, and addressing user concerns regarding data privacy can strengthen the proposal. By effectively communicating the unique benefits of this collaboration and establishing trust in the ensemble model approach, this project can become more compelling for developers and users.

    Here are some strengths of this project:

    • Introduces a novel concept of ensemble AI models with collaborative learning and fair rewards into the SingularityNET platform.
    • Leverages existing decentralized structures of both platforms to potentially simplify integration.
    • Experienced team with expertise in AI models, blockchain technology, and potentially decentralized platform integration.

    Here are some challenges to address:

    • Ensuring technical compatibility between AI model structures and data formats used by both platforms.
    • Differentiating the value proposition of ensemble models from existing offerings in the SingularityNET marketplace.

  • 0
    user-icon
    BlackCoffee
    Jun 10, 2024 | 12:23 AM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 4
    • Usefulness 4
    Specify important details

    The 4 milestones mentioned by the team are presented in a relatively easy-to-understand and highly practical manner. It seems to be built by a team of professionals (although the team does not show who is a member of the exchange - this is a minus point of the proposal). The budget for milestone number 3 Development and experience accounts for $43,750, but the explanation is not specific enough to help readers understand why it costs so much $43,750. I need the team to consider and specify important details to further improve viability.

    user-icon
    QuaternAI
    Jun 10, 2024 | 8:26 AM
    Project Owner

    Thank you for your feedback. Here is a detailed cost breakdown for "Milestone 3 - Development and Testing":

    1. API Development and Integration: $15,000
       - Description: Developing and integrating API connections between Quatern.ai and SingularityNET.
       - Details: Includes costs for API design, development, and initial testing.

    2. Data Processing Pipelines: $10,000
       - Description: Creating and optimizing data processing pipelines for seamless data exchange.
       - Details: Covers pipeline design, development, testing, and optimization for various data formats.

    3. User Interface Development: $8,000
       - Description: Building user interfaces for accessing and managing the integrated system.
       - Details: Includes UI/UX design, front-end development, and user testing to ensure ease of use.

    4. Testing and Quality Assurance: $7,500
       - Description: Conducting comprehensive testing to ensure seamless functionality and security compliance.
       - Details: Includes unit testing, integration testing, security audits, bug fixing, and performance benchmarking.

    5. Documentation and Reporting: $3,250
       - Description: Preparing detailed documentation and reports on testing outcomes, bug fixes, and performance benchmarks.
       - Details: Covers the creation of user manuals, integration guides, and detailed testing reports.

    We hope this breakdown provides clarity on the costs associated with Milestone 3. Thank you for helping us improve the proposal!

  • 0
    user-icon
    Max1524
    Jun 8, 2024 | 9:02 AM

    Overall

    3

    • Feasibility 3
    • Viability 3
    • Desirabilty 3
    • Usefulness 4
    Adapt to the complexity of AI models

    The results of the AI ​​system are what I expected after this proposal. But first what needs to be overcome is to grasp the complexity of different AI models. Once you overcome it, you will have good overall results. This is just a personal thought - the team should be more clear about how to overcome challenges to achieve the desired product results. Once again, feasibility is shown.

    user-icon
    QuaternAI
    Jun 10, 2024 | 8:37 AM
    Project Owner

    Thank you for your comment. The complexity of AI models is indeed a crucial aspect. While simpler models that generalize well are ideal, some applications require complex models to fully capture the problem. In such cases, better generalization can be achieved through ensembling different models. Quatern.ai aims to do this by proposing a decentralized protocol that performs ensembling in a fair and well-incentivized manner. This approach ensures we can handle complexity effectively and achieve the desired results.

  • 1
    user-icon
    Tu Nguyen
    May 22, 2024 | 9:52 AM

    Overall

    3

    • Feasibility 3
    • Viability 4
    • Desirabilty 2
    • Usefulness 4
    SNET Quatern.Ai Integration

    The problem they wanted to solve was enhancing SingularityNET's existing AI capabilities by shifting from an individual to a collaborative model of operation. Their solution is to leverage quatern.ai's decentralized and collaborative platform that integrates its synthetic AI-centric models into the SingulatiryNET framework, expanding the AI models available on SingulatiryNET and attracting new users. for both platforms.
    However, the number of members for this proposal is only 1. This creates a risk that they will not complete the work on schedule. Additionally, they should also determine the start and end times of milestones. Additionally, they should define detailed budgets based on milestones. They should also clearly define metrics to measure project success.

    user-icon
    QuaternAI
    May 23, 2024 | 7:11 AM
    Project Owner

    Thanks for the positive review and rating!

    • Regarding your concern about too small team size: The team actually consists of 3-4 members on the technical side (the same people that started the Quatern.ai project) and the proposal has been submitted under the team's account. We will update the bio accordinly to reflect this.
    • This project's schedule has been planned with the team's capacity in mind. The milestones are intended to be completed within 1 month each.
    • Thanks for your interest in more detailed budgets and success metrics: We will provide this later throughout the review phase!

Summary

Overall Community

4

from 10 reviews
  • 5
    2
  • 4
    6
  • 3
    2
  • 2
    0
  • 1
    0

Feasibility

3.7

from 10 reviews

Viability

3.8

from 10 reviews

Desirabilty

3.9

from 10 reviews

Usefulness

4.1

from 10 reviews

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