AIXS Update application-template.md

[Honeypotz-ml]

Project Abstract

Please replace these instructions with a brief description of your project summarising key points (1-2 paragraphs).

If your application is a follow-up to a previous grant, please mention which one in the first line of the abstract and include a link to previous pull requests if applicable.

Grant level

• Level 1: Up to $10,000, 2 approvals
• Level 2: Up to $30,000, 3 approvals
• Level 3: Unlimited, 5 approvals (for >$100k: Web3 Foundation Council approval)

Application Checklist

• The application template has been copied and aptly renamed (project_name.md).
• I have read the application guidelines.
• Payment details have been provided (Polkadot AssetHub (USDC & DOT) address in the application and bank details via email, if applicable).
• I understand that an agreed upon percentage of each milestone will be paid in vested DOT, to the Polkadot address listed in the application.
• I am aware that, in order to receive a grant, I (and the entity I represent) have to successfully complete a KYC/KYB check.
• The software delivered for this grant will be released under an open-source license specified in the application.
• The initial PR contains only one commit (squash and force-push if needed).
• The grant will only be announced once the first milestone has been accepted (see the announcement guidelines).
• I prefer the discussion of this application to take place in a private Element/Matrix channel. My username is: @_______:matrix.org (change the homeserver if you use a different one)

[github-actions]

CLA Assistant Lite bot: Thank you for your submission, we really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution. Please submit the following text as a separate comment:

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I have read and hereby sign the Contributor License Agreement.

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_{You can retrigger this bot by commenting recheck in this Pull Request}

[github-actions]

Thank you for submitting a grant application.

We've assessed your submission and have found that it requires a higher level of technical detail in order to be considered for review. We encourage you to expand on it by providing a more precise specification/technical details. The section on project details in the application template is a good reference as to what type of information we expect applicants to provide, and these category-specific requirements contain more precise guidelines depending on what type of software you're building.

An area of the application that we often find to be insufficiently elaborated are the milestone deliverables. At a minimum, please indicate what languages/technologies you will be using to implement each deliverable, and provide a technical summary of its expected functionality. Note that deliverables should be tangible, reusable by other teams and in most cases not already present in the ecosystem. If they are, you will need to provide a comparison to existing implementations and explain why it makes sense to fund your approach. Also see our FAQ for a breakdown of what we fund and what we don't.

Let us know as soon as you're done with your changes, and we'll give your application another look!

[Noc2]

Thanks for the application. Could you take a look at the above and try to fill out the template in the correct way?

[keeganquigley]

pinging @Honeypotz-ml

[Deepbody-me]

pinging @Honeypotz-ml

Hello

[Deepbody-me]

Here’s the expanded Web3 Foundation grant proposal for the AIXS Token Platform, now including the Development Status, Development Roadmap, and Future Plans sections:

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Development Status 🥇
The AIXS Token Platform is currently in active development under Honeypotz GmbH. The MVP includes:
• A working prototype for tokenized AI model access
• Integration with Superfluid for streaming payments
• Confidential inferencing using Trusted Execution Environments (TEEs)
• Terraform-based deployment across Azure, AWS, and GCP
Repository & Codebase
• GitHub (private repo): [Link available upon request]
• Includes smart contracts (Ink!), FastAPI backend, React frontend, and TEE integration scripts
Prior Work & Research
• Scientific Publications:
• Confidential AI Inference using TEEs
• Tokenized Access Control for AI Models
• Forum Discussions:
• Polkadot governance forums on AI integration
• Web3 Foundation Telegram discussions with ecosystem contributors
• Blog Posts & Articles:
• “Decentralizing AI Model Hosting with AIXS” — Honeypotz Blog
• “Streaming Payments for AI-as-a-Service” — Medium article
• Mockups & Wireframes:
• Vendor dashboard for model upload and analytics
• Consumer portal for model discovery and token payments
• Admin console for governance and compliance

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Development Roadmap
Overview
• Total Estimated Duration: 4 months
• Full-Time Equivalent (FTE): 2.5
• Total Costs: 48,000 USD
• DOT %: 60% of total costs to be paid in vested DOT

Development Roadmap

Overview

• Total Estimated Duration: 4 months
• Full-Time Equivalent (FTE): 2.5
• Total Costs: 48,000 USD
• DOT %: 60% of total costs to be paid in vested DOT

Milestone 1 — Core Infrastructure & Substrate Modules

• Estimated Duration: 1 month
• FTE: 1.5
• Costs: 8,000 USD

#	Deliverable	Specification
0a	License	MIT License
0b	Documentation	Inline code docs + tutorial for spinning up Substrate node and testing AIXS modules
0c	Testing	Unit tests for Substrate modules and smart contracts
0d	Docker	Dockerfiles for backend, frontend, and Substrate node
0e	Article	“Building Tokenized AI Infrastructure on Polkadot”
1	Substrate Module: Model Registry	Register AI models with metadata, versioning, and access policies
2	Substrate Module: Token Access	Manage token-based access control for model invocation
3	Substrate Module: Payment Streaming	Integrate Superfluid/Sablier for real-time payments
4	Smart Contracts	Ink! contracts for model access, payments, and governance

Milestone 2 — Confidential Inferencing & Frontend

• Estimated Duration: 1 month
• FTE: 1.5
• Costs: 8,000 USD

#	Deliverable	Specification
0a–0e	Same as Milestone 1
1	TEE Integration	Secure model invocation using Intel SGX / AMD SEV
2	Inference API	FastAPI-based encrypted payload handling
3	Frontend UI	React-based dashboard for vendors and consumers
4	Analytics Module	Usage tracking and token flow visualization

Milestone 3 — Compliance & Governance

• Estimated Duration: 1 month
• FTE: 1.0
• Costs: 8,000 USD

#	Deliverable	Specification
0a–0e	Same as Milestone 1
1	Compliance Engine	HIPAA, FDA, Safe AI Act modules
2	Governance Module	On-chain voting for model approval and updates
3	Audit Logs	Immutable logs for model usage and access control

Milestone 4 — Deployment & Ecosystem Integration

• Estimated Duration: 1 month
• FTE: 1.0
• Costs: 24,000 USD

#	Deliverable	Specification
0a–0e	Same as Milestone 1
1	Terraform Deployment	Multi-cloud deployment scripts for Azure, AWS, GCP
2	Polkadot Integration	XCM-based interoperability with parachains
3	Kusama Testing	Early-stage deployment and testing on Kusama
4	Ecosystem Demos	Showcase integrations with dApps and parachains

Future Plans
Long-Term Maintenance & Development
• Ongoing development funded via platform revenue and ecosystem grants
• Open-source contributions encouraged via GitHub and bounty programs
• Governance handled via on-chain voting and community proposals
Short-Term Promotion & Enhancement
• Launch of public beta on Kusama
• Developer workshops and hackathons
• Integration with AI vendors and Web3 dApps
Team’s Long-Term Vision
• Position AIXS as the standard for decentralized AI model hosting
• Expand to support federated learning and zero-knowledge inferencing
• Build a full-stack AI-as-a-Service ecosystem on Polkadot

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