Public AI
Risk Management
?Risk Management
The RMA™ is a blockchain credibility certification assessing governance, transparency, security, and results, providing trusted verification for businesses in Web3.
VaaSBlock has not audited this project and cannot vouch for this organization.
RMA™ Status: ❌ Unverified
Verification of 6 major compliance criteria.
Technology
?Technology
A collection of public facing information, data collected through partners and our own tools view we present a projects technology in one place for easy verification.
Analysis and testing of tech infrastructures.
Marketing
Alpha?Marketing
Top level look at a projects marketing capablities currently in alpha this section will grow to show quickly how a project promotes itself and the effectiveness.
Screening of user base and community feedback.
Background
?Background
Using multiple public facing sources across the web view a summary of a projects purpose, key achievements and general overview.
Collection of basic administrative documentation.
Risk Management
Last Updated
2025/4/16
Transparency
Transparency Score
Algorithmic assessment of a project’s transparency level, using multiple public data points to measure its commitment to compliance, documentation, and clarity in communication.
Transparency Score
Category Rank
A ranking that positions the organization among its industry peers, evaluating its relative performance based on key compliance, credibility, and transparency indicators.
Category Rank
Public AI vs Artificial Intelligence (AI)
VaaSBlock Rank
A global ranking that compares the organization against all entities listed on VaaSBlock, reflecting its overall credibility, transparency, and operational performance versus the full Web3 ecosystem.
VaaSBlock Rank
Public AI vs All Listed Organizations
Transparency
Transparency Score
Transparency Score
Algorithmic assessment of a project’s transparency level, using multiple public data points to measure its commitment to compliance, documentation, and clarity in communication.
Category Rank
Public AI vs Artificial Intelligence (AI)
Category Rank
A ranking that positions the organization among its industry peers, evaluating its relative performance based on key compliance, credibility, and transparency indicators.
VaaSBlock Rank
Public AI vs All Listed Organizations
VaaSBlock Rank
A global ranking that compares the organization against all entities listed on VaaSBlock, reflecting its overall credibility, transparency, and operational performance versus the full Web3 ecosystem.
RMA™
✘ Unverified
Corporate Governance
The verification of fundamental governance, organizational structure, including verifying the entity’s legal registration and adherence to local laws and regulations.
Corporate
Governance
Team Proficency
Evaluation of an organization’s personnel, ensuring that crucial team members possess the expertise and dedication necessary to execute current business models and scale effectively.
Team
Proficiency
Technology & Security
Assessment of the organization’s technological framework, including blockchain integrations (where relevant), system architecture, and overall IT infrastructure.
Technology
& Security
Revenue Model
Comprehensively evaluation of a company’s income-generating strategies (how do they make or intend to make money), ensuring financial robustness and sustainability.
Revenue
Model
Results Delivered
The Results Delivered component of the RMA™ audit comprehensively evaluates an organization’s ability to achieve its goals and honor its commitments.
Results
Delivered
Planning & Transparency
The Planning and Transparency component of the RMA™ audit offers a thorough assessment of how an organization manages its workflow and prepares for unexpected challenges.
Planning &
Transparency
Technology
Website
Domain First Registered – April 2023
SSL Status – ✔ Secure
Source Code
N/A
Marketing
Marketing Effectiveness
This score assesses the impact of detected marketing activity and the corresponding price movement of a token. The score understands whole market movements to ensure tokens are assessed fairly against peers.
Marketing Effectiveness
Confidence Index
This index determines our confidence in the score we have given. Generally, as more data is collected, the confidence index will increase. If a project has lots of activity, this confidence is earned faster.
Confidence Index
VaaSBlock Rank
This identifies where a project sits compared to all projects accessed for Marketing Effectiveness.
VaaSBlock Rank
Public AI vs All Listed Organizations
Marketing Effectiveness
Marketing Effectiveness
This score assesses the impact of detected marketing activity and the corresponding price movement of a token. The score understands whole market movements to ensure tokens are assessed fairly against peers.
Confidence Index
Confidence Index
This index determines our confidence in the score we have given. Generally, as more data is collected, the confidence index will increase. If a project has lots of activity, this confidence is earned faster.
VaaSBlock Rank
Public AI vs All Listed Organizations
VaaSBlock Rank
This identifies where a project sits compared to all projects accessed for Marketing Effectiveness.
No Chain No Gain™ Podcast ⛉
This Organization is yet to join the No Chain No Gain™ Podcast and share insights on what makes their business trustable and innovative.
💡 NCNG generated over 1 Million impressions in its first six months of existence.
PR Impact
PR Impact
VaaSBlock provides estimations to the impact that traditional digital media can have on a project. This is an early release; more areas of PR are planned in future versions.
Search Terms ? Search TermsThese are the terms we discovered the article for on page one of Google. | Est. Traffic ? Estimated TrafficWe estimate how much traffic an article will get. Generally, our estimations are slightly higher than those of more established tools. We are working on the algorithm all the time, and results could change. | Est. Value ? Estimated ValueBased on the estimated traffic we generate an estimation for what this traffic would have cost to generate if you tried to target these users with ads. The positions for the article on google and the location of the traffic are the major factors in this estimation. | |||
|---|---|---|---|---|---|
 퍼블릭에이아이 source: PublicAI | 퍼블릭에이아이… — 퍼블릭에이아이 source: PublicAI | Organic | publicai.co.kr | ||
Public AI Network source: Public AI Network | Public AI Network… — Public AI Network source: Public AI Network | Organic | publicai.network | ||
Whitepaper source: Publicai | Whitepaper… — Whitepaper source: Publicai | Organic | publicai.network | ||
Creating a public counterpoint for AI | The Mozilla Blog source: blog.mozilla.org | Creating a public co… — Creating a public counterpoint for AI | The Mozilla Blog source: blog.mozilla.org | Organic | blog.mozilla.org |
| Est. Traffic | Est. Value | ||
|---|---|---|---|
| 퍼블릭에이아이… — | ||
| Public AI Network… — | ||
| Whitepaper… — | ||
| Creating a public co… — |
Background
Organization Name – Public AI
Category – 
Artificial Intelligence (AI)
About
powered by
irmaAIWhat is Public AI?
Public AI is a decentralized data-annotation and AI-infrastructure platform that aims to enable secure, transparent, and immutable collection of multi-modal data (text, audio, video…, mapping, sensor data) through a blockchain-backed annotation system. Launched in 2023 and operating under a model of decentralization and transparency, Public AI seeks to offer an alternative to closed-source, centralized datasets — enabling open collaboration, verifiable data provenance, and democratized AI training inputs.
Core Mission & Value Proposition
• Transparent Data Annotation for AI & Autonomous Systems: By recording all annotation actions on-chain, Public AI ensures every data label, modification or contribution is traceable and immutable — building trust in data provenance and minimizing risk of malicious or biased annotations.
• Decentralized & Scalable Infrastructure: Instead of relying on a centralised team, Public AI leverages a distributed network of annotators and contributors, enabling scalability across vast data-type workloads (text, audio, video, sensor/mapping). This approach can reduce cost, avoid single-point failure, and democratize data-collection efforts for AI, robotics, ML and autonomous-system developers.
• Support for Ethical, Verifiable, “Public AI” Models: By providing open, verifiable datasets and transparent annotation pipelines, Public AI supports the development of open-source or community-driven AI models — offering a foundation for “public AI” instead of closed, proprietary models.
Potential Use Cases
Public AI’s architecture and data services can support a range of applications and stakeholders including:
• Developers building machine-learning, computer vision, autonomous systems, robotics, or other AI applications requiring large, varied annotated datasets.
• Organizations demanding audit-ready, transparent data provenance — e.g. research institutions, compliance-sensitive enterprises, ethical-AI initiatives, regulators.
• Communities and open-source contributors wanting shared, publicly verifiable datasets rather than opaque “black-box” corpora.
• Projects prioritizing auditability, reproducibility, and data security, especially where data lineage matters (e.g. high-risk ML, autonomous driving, sensitive data domains).
What VaaSBlock Finds (Risk & Verification Status)
As of last audit, Public AI remains unverified under VaaSBlock’s RMA™ framework. It has been assigned a preliminary transparency & safety score of 6/100, reflecting limited public disclosure around internal governance, team structure, compliance, and long-term operational stability.
This does not necessarily mean the project is malicious or doomed to fail — but it does mean that potential users, contributors or partners should treat Public AI as early-stage or high-uncertainty. Until Public AI undergoes thorough independent audit (governance, security, compliance, operational documentation), any sensitive adoption (e.g. large datasets, enterprise-grade AI training) should proceed with caution.
What’s Unknown / What To Watch For
• Team & Governance Structure: Public-facing sources give limited information about core contributors, leadership, legal entities or long-term governance commitments.
• Sustainability & Business Model: It is unclear how Public AI plans to sustain operations long-term (e.g. via subscription, data-services fees, tokenomics).
• Security, Privacy & Compliance of Data Handling: While blockchain-backed annotation helps provenance, handling sensitive data (especially video/audio mapping) still carries risk — data privacy, consent, compliance with jurisdictional laws, and data storage security need thorough verification.
• Audit & Transparency Documentation: There is no public, third-party audit or regulatory compliance documentation verified by VaaSBlock; transparency score remains low.
Who Should Consider Using / Evaluating Public AI — and How
Public AI may be attractive to developers, researchers, open-source communities, or early-stage projects needing annotated datasets with provenance and transparency. But before adoption:
• Review available public documentation carefully (whitepapers, team disclosures, data-governance policies) — if missing, request them.
• Consider starting with small pilot datasets; test annotation workflow, provenance recording, data export, and data governance compliance.
• Avoid uploading sensitive or personal data unless strong privacy, consent, and compliance frameworks are confirmed.
• Monitor community activity, project updates, and whether Public AI seeks formal verification or audit (e.g. RMA certification).
What is Public AI?
Public AI is a decentralized data-annotation and AI-infrastructure platform that uses blockchain-backed annotation tracking to enable transparent, secure, and immutable data collection across multiple modalities (text, audio, video, mapping, etc.). It aims to provide an open, trustworthy foundation for building or training AI models.
How does Public AI work?
Public AI leverages a distributed network of annotators and contributors who label or annotate data. Each annotation — along with metadata (time, contributor, edits) — is recorded on-chain, ensuring full traceability. This decentralization and blockchain record aim to ensure transparency, prevent untraceable edits, and maintain immutable provenance for data used in AI training.
What are the main advantages of using Public AI over closed-source data providers?
Key advantages include:
• Transparency & data provenance — every annotation and modification is auditable.
• Decentralization & community contribution — reduces reliance on a central authority or gatekeeper.
• Potential cost-effectiveness and scalability — distributed contributions may lower costs and increase annotation throughput.
• Support for open-source / public-AI models — helps democratize access to annotated datasets and fosters community-driven AI.
Is Public AI safe and trustworthy?
Public AI is currently unverified by VaaSBlock (RMA™) and carries a 6/100 transparency & safety score. That indicates limited public disclosure about internal governance, data-handling practices, and long-term sustainability. While its architecture offers transparency and potential, users should treat Public AI as an early-stage, high-uncertainty platform — especially if dealing with sensitive data.
What are the main risks or limitations when using Public AI?
Risks & limitations include:
• Unclear or incomplete information about the team, governance, and entity behind Public AI.
• Unverified compliance, data-privacy, and regulatory status — especially important for sensitive data (audio, video, mapping).
• Potential quality or consistency issues in annotations if contributor oversight is weak or decentralized.
• Uncertainty around long-term viability, funding, business model and support.
• Lack of third-party security or data-integrity audits.
Who should consider using Public AI — and for what use-cases?
Public AI may suit: researchers, open-source AI developers, startups in ML / autonomous systems, academic institutions, and anyone needing annotated datasets where data provenance, transparency, and auditability matter deeply. Use-cases include computer vision datasets, robotics training data, autonomous-system sensors, NLP corpora, or public-interest research — but only with rigorous due diligence.
Should I avoid using Public AI for sensitive or personal data?
Yes — unless Public AI provides strong privacy, consent, compliance and data-handling documentation. In its current unverified state, using Public AI for sensitive or personal data (e.g. identifiable images, audio, personal information) carries elevated risk. Always verify compliance with relevant data-protection laws and ensure data-handling practices meet required standards.
How can I evaluate whether Public AI is credible? What should I check?
Before using Public AI, check — or request — the following:
• Public disclosure of the team, legal registration, and governance structure.
• Data-governance policies, privacy guidelines, consent mechanisms, and compliance with regulations.
• Evidence of audits or third-party verification (security, data integrity, operations).
• Active community engagement, transparency about contributors, and on-chain provenance for annotations.
• Viability of the business model and long-term support plans. Read More
Creation Date
December 2025
Headquarters
Hong Kong,Hong Kong
Organization Maturity Level
Growing Business
RMA™ Type
None
Useful Links
Website – publicai.io
Notable Achievements
N/A
Core Team
Steven Wong
Founder
Shiva Badola
Business Director
- vaasblock.com /
- Artificial Intelligence (AI) /
- Public AI
