Reputation-Driven AI Licensing

Making AI Trustable.

AI that earns your trust

Get in touch

Get in touch

Launching Soon

Launching Soon

Trusted by Open Ecosystem Builders & AI Innovators

AI Trust Infrastructure for the Next Generation of AI

Making AI Agents Trustworthy

Making AI Agents Trustworthy

NexusVoid brings on-chain identity, licensing, validation, and trust scores to AI agents

Developer Flow

Waiting for approval

  • Upload your model

    Github | Hugging face | Etc.

  • Job Distribution

    Validation job created & assigned

  • Secure Execution

    Validators run checks via zkML or TEE env

  • Consensus & Slashing

    Faulty validator slashed — stake burned

  • Reputation Update

    Model, Developer & Agent scores updated

Developer Flow

Waiting for approval

  • Upload your model

    Github | Hugging face | Etc.

  • Job Distribution

    Validation job created & assigned

  • Secure Execution

    Validators run checks via zkML or TEE env

  • Consensus & Slashing

    Faulty validator slashed — stake burned

  • Reputation Update

    Model, Developer & Agent scores updated

Developer Flow

Waiting for approval

  • Upload your model

    Github | Hugging face | Etc.

  • Job Distribution

    Validation job created & assigned

  • Secure Execution

    Validators run checks via zkML or TEE env

  • Consensus & Slashing

    Faulty validator slashed — stake burned

  • Reputation Update

    Model, Developer & Agent scores updated

Validator Node Network

Model Validation with Rewards

Our network verifies AI models using zero-knowledge proofs and TEEs. Validators earn rewards for honest work, and help keep trust scores accurate and up-to-date.

zkML

TEE

Slashing

Reward Mechanism

Bias Detection

Reputation System

Reputation for AI Agents, Models & Devs

Every profile earns trust through performance, community feedback, validation, and license activity.

Agent Scores

Model Scores

Dev Scores

Feedback Loops

Explore Reputation of AI Models, Agents & Developers

Domain:

|

Powered by zkML, validator consensus & user feedback

Score

Validator Report

View Logs

Explore Reputation of AI Models, Agents & Developers

Domain:

|

Powered by zkML, validator consensus & user feedback

Score

Validator Report

View Logs

Explore Reputation of AI Models, Agents & Developers

Domain:

|

Powered by zkML, validator consensus & user feedback

Score

Validator Report

Verified by NexusVoid AI

Custom Integrations

Add Trust Scores to Your AI

Easily connect NexusVoid’s APIs to your AI stack to score models, get validation proofs, or stake in support of trusted agents.

SDKs

REST APIs

Cross-Platform

How NexusVoid Works

From Identity to Trust

Step-by-step: How devs onboard, validate, and build trust on NexusVoid.

Step 1

DID + zkID Verification

Register pseudonymous but verifiable developer identity.

Secure & Verifiable Identity Layer

DID Registered

zkID Linked

Proof-of-Ownership

Sybil-Resistant Pseudonym

Secure & Verifiable Identity Layer

DID Registered

zkID Linked

Proof-of-Ownership

Sybil-Resistant Pseudonym

Step 2

License Model

Define usage terms as on-chain license NFT.

  • class LicenseTerms {
    usageLimit: number;
    expiryDays: number;
    status: "active" | "expired";
    constructor(usageLimit: number, expiryDays: number) {
    this.usageLimit = usageLimit;
    this.expiryDays = expiryDays;
    this.status = "active";
    }
    validateUsage(used: number): void {
    if (used > this.usageLimit) {
    this.status = "expired";
    }
    }
    isActive(): boolean {
    return this.status === "active";
    }
    }
    // Example usage:
    const license = new LicenseTerms(1000, 30);
    license.validateUsage(1200);
    console.log(license.status); // Output: "expired"

  • class LicenseTerms {
    usageLimit: number;
    expiryDays: number;
    status: "active" | "expired";
    constructor(usageLimit: number, expiryDays: number) {
    this.usageLimit = usageLimit;
    this.expiryDays = expiryDays;
    this.status = "active";
    }
    validateUsage(used: number): void {
    if (used > this.usageLimit) {
    this.status = "expired";
    }
    }
    isActive(): boolean {
    return this.status === "active";
    }
    }
    // Example usage:
    const license = new LicenseTerms(1000, 30);
    license.validateUsage(1200);
    console.log(license.status); // Output: "expired"

  • class LicenseTerms {
    usageLimit: number;
    expiryDays: number;
    status: "active" | "expired";
    constructor(usageLimit: number, expiryDays: number) {
    this.usageLimit = usageLimit;
    this.expiryDays = expiryDays;
    this.status = "active";
    }
    validateUsage(used: number): void {
    if (used > this.usageLimit) {
    this.status = "expired";
    }
    }
    isActive(): boolean {
    return this.status === "active";
    }
    }
    // Example usage:
    const license = new LicenseTerms(1000, 30);
    license.validateUsage(1200);
    console.log(license.status); // Output: "expired"

  • class LicenseTerms {
    usageLimit: number;
    expiryDays: number;
    status: "active" | "expired";
    constructor(usageLimit: number, expiryDays: number) {
    this.usageLimit = usageLimit;
    this.expiryDays = expiryDays;
    this.status = "active";
    }
    validateUsage(used: number): void {
    if (used > this.usageLimit) {
    this.status = "expired";
    }
    }
    isActive(): boolean {
    return this.status === "active";
    }
    }
    // Example usage:
    const license = new LicenseTerms(1000, 30);
    license.validateUsage(1200);
    console.log(license.status); // Output: "expired"

Step 3

Validation Job

Validators assess model using benchmarks + zkML.

Our solution

Process

Our solution

Process

Step 4

Score Computation

Reputation Engine aggregates performance, feedback, and stake.

Validator Performance Reports

Each model undergoes zkML-based validation

Cross-Entity Correlation

Model’s score is also influenced by the

reputation of its creator

Time Decay & Real-Time Refresh

Scores degrade over time if not revalidated,

ensuring freshness

Validator Performance Reports

Each model undergoes zkML-based validation

Cross-Entity Correlation

Model’s score is also influenced by the

reputation of its creator

Time Decay & Real-Time Refresh

Scores degrade over time if not revalidated,

ensuring freshness

Step 4

Discoverable API

Trusted models are now explorable + usable via API.

Validator Performance Reports

Each model undergoes zkML-based validation

Cross-Entity Correlation

Model’s score is also influenced by the

reputation of its creator

Time Decay & Real-Time Refresh

Scores degrade over time if not revalidated,

ensuring freshness

Validator Performance Reports

Each model undergoes zkML-based validation

Cross-Entity Correlation

Model’s score is also influenced by the

reputation of its creator

Time Decay & Real-Time Refresh

Scores degrade over time if not revalidated,

ensuring freshness

Benefits

Why Trust in AI Needs a Protocol

Increased Productivity

Developers and enterprises save time via reusable, verified models with trust scores.

Increased Productivity

Developers and enterprises save time via reusable, verified models with trust scores.

Increased Productivity

Developers and enterprises save time via reusable, verified models with trust scores.

Better User Confidence

End-users trust agents/models backed by transparent audits and bias validations.

Better User Confidence

End-users trust agents/models backed by transparent audits and bias validations.

Better User Confidence

End-users trust agents/models backed by transparent audits and bias validations.

24/7 Availability

Decentralized validators maintain uptime and continuous scoring of AI components.

24/7 Availability

Decentralized validators maintain uptime and continuous scoring of AI components.

24/7 Availability

Decentralized validators maintain uptime and continuous scoring of AI components.

Cost Efficiency

Slash costs of manual audits, duplicative testing, or biased model risk management.

Cost Efficiency

Slash costs of manual audits, duplicative testing, or biased model risk management.

Cost Efficiency

Slash costs of manual audits, duplicative testing, or biased model risk management.

Data-Driven Governance

Feedback, staking signals, and model validation logs feed into real-time insights.

Data-Driven Governance

Feedback, staking signals, and model validation logs feed into real-time insights.

Data-Driven Governance

Feedback, staking signals, and model validation logs feed into real-time insights.

Scalability & Growth

The modular protocol adapts to solo devs, enterprises, or autonomous AI agents.

Scalability & Growth

The modular protocol adapts to solo devs, enterprises, or autonomous AI agents.

Scalability & Growth

The modular protocol adapts to solo devs, enterprises, or autonomous AI agents.

FAQs

We’ve Got the Answers You’re Looking For

Quick answers to your AI automation questions.

How can NexusVoid help my AI project or agent?

Is it difficult to integrate NexusVoid?

What industries or models benefit most?

Do I need to be technical?

What kind of support is available?

How can NexusVoid help my AI project or agent?

Is it difficult to integrate NexusVoid?

What industries or models benefit most?

Do I need to be technical?

What kind of support is available?

Let AI Work !
But You Earn the Trust.

Validate, launch, or build AI-NexusVoid lets you do it all, verifiably

Book a free call

Book a free call

© Copyright NexusVoid AI 2025

© Copyright NexusVoid AI 2025