GRANT PROPOSAL: FAUST AI - World's First Web3 based Generative-Design A.I

Project Name: FAUST A.I.

Name of products to be developed over the first 3 Years of Operation:

GYGS (Freelance Platform// DAO)

  • GYGS is a freelance platform that aims to become a Decentralized Automated Organization (DAO), building up a community of verified freelancers free from dependence upon third-party platforms.

PRALDO (Work Analytic Application & Networking Tool)

  • PRALDO is a work-process recording application being developed to set monitored data as a benchmark for peer-to-peer recruiting and setting up industry standards for work execution analytics.

ERLENMEYER (Generative-Design A.I.)
-ERLENMEYER is the world’s first Generative Design A.I., accompanied by a professional freelance associate who will help you design your desired idea in real-time out of choices ranging between 19k to 260k.
-Erlenmeyer builds a stronger art community with comprehensive & integrated solutions. More accurate & effective transformers cater to artists’ & enthusiasts’ needs.

Website: ( | (
Pitch Deck: (DocSend)
Introductory Video: (Faust AI - YouTube)

Name of the organization or individual submitting the proposal: Akshat Chaturvedi
(on behalf of FAUST AI)

Description of your project, who benefits, and how the project will serve the Foundation’s mission of user-owned data:

Points covered -

  1. About Faust AI and its products // Market and Issues // Users, Competitors & USP

  2. FAUST AI x SIA - Data Flow and Storage to develop the community-oriented A.I.


Before diving into what is Faust AI and what impact is it going to have on the world I’d like to share a theory questioning AI, that fascinates me beyond anything and makes me leave no chance to mention it in the same discussion as Faust AI.

“If our cars are fully automated, will we let anyone sit behind the wheel, whether it may be a child, an adult without a license, a person in need of severe medical assistance, or a person under the influence? The answer is a simple no.

No matter how advanced the AI is in regards to automation, it will still require a human associate to supervise its working or rather functioning. In the case of a self-driving car, someone with a driving license will do, just like a trained pilot when the flight is on auto-pilot.”

While automation will provide jobs, the number it will displace is going to be much higher, as observed in the statistics below.

This is where Faust AI and its products enter. Based on the ‘Self-driving Car Theory’ we enable the designers (our main user group) to be a part of this automation rather than being sidelined. We are creating the world’s first and one-of-a-kind (for now) Generative-Design AI. This Ai using its neural network generates several designs separated into layers, presented in the form of a choice-based design adventure, where a designer (freelance or professional - verified and trained by Faust AI) assists the client in real-time to bring these layers together in generating the outcome. The choices in total if counted by layers range approximately between 19k - 260k through the algorithm we our developing using design theory and the ‘3 + 1’ user interface.

The above statistics show the size of the market FAUST AI and GYGS will operate within. The targetted market in question (Global Design Services) is not pursued by any major Generative AI and the freelancing industry is rather getting harmed by them. Leading up to problems such as:

FAUST AI’s Products tackle these issues.

The products are:



  1. Data Storage: FAUST AI can utilize Sia’s decentralized storage network to securely store and manage its AI training datasets, models, and other data. By distributing the data across multiple hosts on the Sia network, FAUST AI can ensure redundancy, data integrity, and availability.

  2. Data Privacy and Security: Sia’s encryption features can be leveraged by FAUST AI to enhance the privacy and security of its data. By encrypting data before storing it on the Sia network, FAUST AI can ensure that only authorized parties can access and decrypt the data.

  3. Scalability and Cost-Effectiveness: Sia’s decentralized storage model allows FAUST AI to scale its storage infrastructure seamlessly. As FAUST AI’s data storage needs grow, it can easily expand its storage capacity by renting additional space from hosts on the Sia network. This scalability is cost-effective compared to traditional centralized storage solutions.

  4. Data Redundancy and Availability: By utilizing Sia’s network of hosts, FAUST AI can ensure that its data is distributed across multiple locations, reducing the risk of data loss or unavailability. Even if one host goes offline, the data remains accessible from other hosts, ensuring high availability.

  5. Integration with FAUST AI Services: FAUST AI can provide seamless integration with Sia’s storage services within its AI platform. This integration allows users of FAUST AI to directly utilize Sia for their data storage needs, ensuring a cohesive and streamlined experience.

In the first operational year of FAUST AI, with a projected number of 100,000 freelance gigs, a total storage of 4.58 terabytes (TB) is required. Each gig consists of 12 images, with a dedicated storage size of 4 megabytes (MB) per image. In the second operational year, with a projected number of 150,000 gigs, the total storage required increases to approximately 6.875 TB. These storage requirements should be carefully considered to ensure sufficient capacity for FAUST AI’s growth and scalability.

This data will help to train an AI that will revive the freelance industry and Designers across the world and enable them to benefit from automation while keeping the essence of designing true and alive.

Why GYGS will have an upper hand on its competitors:

  1. Mainting Freelancer - Active Client Ratio 1:1 to empower the freelance community
  2. University students (New Ideas and Energetic Approach) taking up the role of freelancers will need to go through 2-step verification of signing up with a university-provided email with their domain and a letter from the admin of their school.
  3. GYGS takes no commission but provides performance-based rewards to encourage better results.
  4. GYGS aims to become a community-driven platform leading its development in the direction to be a DAO.

Grant Specifics

Amount of money requested and justification with a reasonable breakdown of expenses:
100,000 USD

FAUST AI for its first year of operation and development of GYGS in the same year requires 148K USD. With the possibility of receiving the other 1/3rd of the required funding from a different source, We request the SIA Foundation for the provision of the above-mentioned funding.

In Agreement - The Foundation can only pay out grant funds in $USD.
(Startup in the process to be registered in the United States with all its subsequent legal and financial entities to be registered there with the same.)

In Agreement - For grants of one year or more, payments will be made quarterly.
(First Payment - upfront provision of the grant
Subsequent Payments - at the end of each quarter, post the quarterly report submission)

Timeline with measurable objectives and goals:
(For GYGS, based on the grant received from SIA Foundation)

Year of Operation - I: Developing GYGS (Initiation on receiving the grant)

Appoint CTO of FAUST AI as a Web3/AI Consultant.
Manual Operation through Freelance Website
Set a technical framework for the development of the product.
Complete Product Design, ready to be developed.

Hiring Full-time dev team: Back End Dev + Front End Dev
Fully functioning, On-Ground Core Team
GYGS 1.0 Dev Begins
Creation of Web3 Infrastructure for Database

SIA Integration for Data Storage
Hiring Marketing Head and Graphic Design Interns/ Freelancers
Marketing Campaign Plan + Potential User/Client Base Interaction
Connecting and Testing GYGS 1.0 pre-rollout

SIA Integration for Smart Contracts Security and Wallet
Recruiting Customer Executives
Launching GYGS 1.0 with initial six services
Client On-boarding + Freelancer waitlisting

FAUST AI overall milestones:


  • GYGS 0.1 - Manually operated freelance Website
  • Faust A.I. Dev Team Building + Gygs Product Design


  • Web3 Infrastructure For Database




  • GYGS 1.0 - Semi-automation

Potential risks that will affect the outcome of the project:

  1. Data Bias: FAUST AI heavily relies on data for training its algorithms. If the training data is biased or incomplete, it can lead to biased outcomes and decisions. Steps need to be taken to address data bias and ensure diverse and representative datasets to avoid perpetuating unfair biases.

  2. Privacy Concerns: FAUST AI may process and analyze large amounts of data, which can raise concerns about privacy and data protection. Safeguards must be in place to handle sensitive information appropriately and comply with relevant privacy regulations to maintain user trust.

  3. Security Vulnerabilities: AI systems like FAUST AI can be vulnerable to cybersecurity threats, such as data breaches or malicious attacks. Implementing robust security measures, including encryption, access controls, and regular vulnerability assessments, is crucial to safeguard the system and user data.

  4. Lack of Human Oversight: While FAUST AI operates under human supervision, there is a risk of over-reliance on automated decision-making without sufficient human oversight. It is important to strike a balance between automation and human involvement to ensure ethical and accountable AI practices.

  5. Ethical Considerations: FAUST AI should adhere to ethical guidelines and principles to prevent misuse or unintended consequences. Ensuring transparency, fairness, and accountability in the decision-making process is vital to address ethical challenges.

  6. Limited Generalization: FAUST AI’s performance may be optimized for specific tasks or domains. It might struggle with generalizing knowledge to unfamiliar scenarios or making decisions outside its trained scope. Ongoing research and development are necessary to improve the generalization capabilities of FAUST AI.

# Development Information

Will all of your project’s code be open-source?

  • Yes

Link where the code will be accessible for review:

Do you agree to submit monthly progress reports?

  • Yes + Monthly Newsletter to promote engagement with the startup

# Contact info


Any other preferred contact methods:

Linkedin: (
Twitter: (
Instagram: (FAUST A.I. - Generative-Design A.I. ( • Instagram photos and videos)

1 Like

I’ll save the Foundation the time it would have taken to review the offer. It’s a scam. Case closed.

Hi, before you question integrity of a proposal and the work put in by a team as a whole, you could have spent more than 6 minutes to dig deeper and go through it thoroughly.

In any case, thanks for your opinion - will make sure we pay no heed to your comment.

(Highly doubt it was even 6 minutes since that was the duration between this proposal being posted and your comment :slight_smile: )

What is wrong with your LinkedIn page? It returns a 404.

@mike76 Sorry for that blunder. Updated the link - you can check now.

Another question. What exactly amount are you requesting, and for what period?

@mike76 we are requesting 100,000 USD for one year out of which 25,000 will be upfront.

We have just started and progressing in seed stage hence getting the core team on ground and adding developers to the team is important to start building the first product.

Thanks for the proposal - we received this after our deadline for the last meeting, so we’ll properly review this when the committee next gathers on June 13th. Thanks!

@steve Thank you for letting us know that. Will it be fine if we redo the proposal for the issues regarding clarity and addition of a better look at the product through videos?

Our deadline for submissions is the Wednesday before the meeting, so in this case it would be by June 7th. Any updates to the proposal will be considered by then.

As a reply in this thread, please re-post the entire proposal with those updates - don’t just post the updates. Let me know if you have any other questions!

1 Like

Hello Akshat,

Thanks for your grant proposal. You had mentioned providing some updates, but our committee has reviewed the proposal as-is just to provide you with some early feedback.

We’re hesitant to fund projects that need to hire/find developers. That’s unfortunately sometimes a recipe for missed deadlines and delivery issues. The amount of money requested is high considering Sia-specific work doesn’t start until halfway through the project. It looks like you intend to build a team first, which is understandable, but also essentially puts us in the position of completely funding a startup. It’s not something that we’re inherently against with the right project, but in this case it’s too much speculative risk for us to fund.

We’ll be happy to review your proposal again should you update it. Thanks.

Kino on behalf of the Sia Foundation and Grants Committee

1 Like