mstable · QLONEAI · Apr 27, 2023 · Apr 27, 2023
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+# General Grant Proposal
+
+* **Project:** Qlone AI
+
+## Project Overview
+
+Application in response to an RFP
+With the leverage of AI&Blockchain technologies, users can seamlessly replicate their biometric data, authenticate it, manage it, and store it in the blockchain for eternity.
+
+### Overview
+
+With the leverage of AI & Blockchain, Qlone's infrastructure is aiming to provide an all-in-one solution to generate your smart-digital AR clone. A new seamless approach on how to simulate, train, personalize, and manage AI on blockchain. The technology that innovates fields like personal AI, Gaming, Customer service, Education and more…
+
+### Project Details
+
+* Mockups/designs/wireframes
+
+https://docsend.com/view/8qrh7ugx864p2pi3
+
+* API/interface definitions
+
+Communication between UI and backend developed in Representational State Transfer (REST) standart. Authentification based on bearer tokens.
+Image to image model training based also on Representational State Transfer (REST) standart communicates with cloud based stable diffusion service.
+Voice cloning based on openAI open-sourcing a neural net Whisper and managed in REST API,
+Text to speech based on Azure text-to-speech service and maanaged on REST API
+
+All detailed API specifications will be provided in https://github.com/QLONEAI repo.
+
+* Architecture documentation
+
+Adversarial Networks (GANs) 
+Variational Autoencoders (VAEs)
+Large Language Models (LoRA)
+Recurrent Neural Networks (RNNs)
+GPT-4 natural language AI model
+Machine learning
+Solidity
+Java Script
+Python
+
+
+## Team
+
+### Team members
+
+* Name of team leader: Rysard Gvozdovic
+
+* Names of team members:
+
+Rysard CEO: https://www.linkedin.com/in/ry%C5%A1ard-gvozdovi%C4%8D/
+Lukas CMO: https://www.linkedin.com/in/lukas-zalagaitis-9b35211b9/
+Dainius CTO: https://www.linkedin.com/in/dainiussa/
+Arvaidas Blockchain dev: https://www.linkedin.com/in/arvaidas-silgalis/
+Jonas Levinskas - 
+
+### Team Website
+
+Website: https://qlone.ai 
+
+### Legal Structure
+
+Registered Address: 
+Studio Meta Ltd
+2098889
+Craigmuir Chambers, Road Town, Tortola, VG 1110, British Virgin Islands
+
+### Team's experience
+
+We are 5 full-time experienced core team members with more than 5 years of experience, from Vilnius, Lithuania. 3 AI and blockchain developers, Lukas CMO and Rysard CEO. With our experience in Web 3 market, vast programming knowledge and know-how skills, we decided to make something unique and innovative that you would definitely enjoy to experience. Founders have a successful background in WEB3/WEB2 markets and great work experience, CTO Dainius has a vast knowledge of AI technology and Machine Learning development, Jonas is known for his full stack and blockchain development skills, and Arvaidas is an experienced blockchain developer. All in all, we have a well-balanced team which covers all required fields to start the project successfully and expand our company. Team has direct plan how to achieve milestones and launch in the market successfully.
+
+### Team Code Repos
+
+N/A
+
+## Development Roadmap
+
+This section should break out the development roadmap into a number of milestones. Since the milestones will appear in the grant contract, it helps to describe the functionality we should expect, plus how we can check that such functionality exists in the product. Whenever milestones are delivered, we refer to the contract to ensure that everything has been delivered as expected.
+Below we provide an example roadmap. In the descriptions it should be clear how the project is related to mStable.
+For each milestone:
+Please be sure to include a specification of the software. The level of detail must be enough so that we are able to verify that the software meets the specification.
+Please include total amount of funding requested per milestone.
+Please note that we require documentation (e.g. tutorials, API specifications, architecture details) in each milestone. This ensures that the code can be widely used by the community.
+Please provide a test suite, comprising unit and integration tests, along with a guide on how to run these.
+Please commit to providing a dockerfiles for the delivery of your project.
+Please indicate the milestone duration, as well as number of Full-Time Employees working on each milestone, and include the number of days along with their cost per day.
+Overview
+Total Estimated Duration: 3 months
+Full-time equivalent (FTE): 5
+Total Costs: $30,000
+
+
+### Milestone 1 - mStable infrastructure integration
+
+- **Estimated duration:** 1,5 month
+- **FTE:**  5
+- **Costs:** 15,000 USD
+
+| Number | Deliverable | Specification |
+| -----: | ----------- | ------------- |
+| 1. | License | MIT |
+| 2. | Documentation | We will provide both Qlone.ai application techincal documentation of the code in https://github.com/QLONEAI/ repo readme.md file and a basic user manual with detailed instruction how to use AI NFT generator on mStable infrastructure for unique NFTs collections. |
+| 3. | Testing Guide | All available application functionalities will be live tested and also sandbox tested in testnet. test.md will cover detailed instruction how to use AI NFT generator |
+| 1. | Research mStable SDK usage for AI (artificial intelligence) NFT generator tool to integrate in mStable chain. | |  
+| 2. | AI (artificial intelligence) based NFT Generator development for NFTs collection on WEB platform with preparation to syncronize functionality with mStable ecosystem | |
+| 3. | Integration of mStable in aplication to be able to connect and use AI NFT generator on mStable chain. Test contracts development on mStable testnet | |  
+| 4. | UI and UX development for user to be able use AI NFT generator tool for NFT collections. | |  
+
+### Milestone 2 - NFT generator development
+
+- **Estimated Duration:** 1,5 month
+- **FTE:**  5
+- **Costs:** 15,000 USD
+
+| Number | Deliverable | Specification |
+| -----: | ----------- | ------------- |
+| 1. | License | MIT |
+| 2. | Documentation | We will provide both Qlone.ai application techincal documentation of the code in https://github.com/QLONEAI/ repo readme.md file and a basic user manual with detailed instruction how to use AI NFT generator on mStable chain for unique NFTs collections. |
+| 3. | Testing Guide | All available application functionalities will be live tested and also sandbox tested. test.md will cover detailed instruction how to utilize AI NFT generator tools. |
+| 1. | Fix and update mStable contracts for mStable mainnet chain | |  
+| 2. | Fully integration of mStable chain on to NFT generator to generate and synchronize collections NFTs minting in mStable chain | |  
+| 3. | Ability to manage NFT collections using mStable infrastructure for selling, tranfering and editing NFTs metadata on mStable chain | | 
+
+### Community engagement
+
+A Medium article will be published which will explain how our app was developed and features of it.
+
+## Future Plans
+
+We will acquire users with our growth model for 1 year, we will offer better pricing with our tools which other projects lack. Our strategy is user acquisition using our marketing plan and go-to-market strategy. We will focus on user acquisition and revenue for first year. Marketing plan: Affiliate marketing, referral systems, ad words, seo, smm (social media marketing twitter, instagram, tiktok and etc..), Kols (influencers), partnership promotions.
+Another important marketing milestone is token IDO through numerous launchpads which will give instant token/NFT holders and users. We have great connections with numerous tier 1 launchpads.
+
+## Additional Information
+
+Any additional information that you think is relevant to this application that hasn't already been included.
+Possible additional information to include:
+What work has been done so far?
+1. We have a functional app prototype, multiple AI models and blockchain integrations are already available.
+2. Development team managed to generate our own GAN, RNN AI model prototypes which will be more cost effective for future sales. 
+3. Clear explanation of QLONE AI B2B2C business model, product features, financial forecasts and what value our product adds.
+4. Dedicated team of 5-experienced members, with vast WEB2/WEB3 experience in B2B2C sectors, development, project scaling.
+5. Idea and business received very positive feedback.
+
+
+
+Are there are any teams who have already contributed (financially) to the project? - No
+Have you applied for other grants so far? - No
+