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By AI Transparency Token (AITT)
AITT certifies AI compliance on-chain to help enterprises meet legal standards with automated, tamper-proof audits
Our solution enables companies to prove that their AI systems comply with legal and ethical standards, by generating tamper-proof compliance certificates. It integrates with AI tools that assess whether a business respects regulations like GDPR, the EU AI Act, and other emerging AI governance frameworks.
These compliance certificates are issued as non-transferable NFTs and recorded on a decentralized registry, making them instantly verifiable by regulators, auditors, or partners. The platform is particularly suited for AI systems used in high-stakes environments — such as finance, healthcare, or legal — where transparency, traceability, and protection against fraud or misuse are essential.
We chose Stellar not just for its technical reliability, but because it is a robust and institution-focused blockchain, already used in regulated environments such as banking and financial services. This makes it the ideal infrastructure to support adoption by enterprises and public institutions seeking secure, auditable compliance solutions.D
Yes
$74.0K
Success for AITT is defined by both measurable adoption and meaningful impact on regulatory transparency in AI. In the 6 months following mainnet launch, we aim to onboard at least 10 enterprise clients and convert 25% of our 60+ beta testers into paid users. This would bring us to over $200,000 ARR with >80% gross margin.
Beyond revenue, success means creating the first blockchain-based standard for AI compliance certification — recognized and usable by legal professionals, regulators, and enterprises. We aim to certify 500+ AI models or systems in Year 1, promoting accountability and auditability in a rapidly evolving regulatory space.
AITT’s long-term impact lies in expanding access to trustworthy compliance infrastructure, particularly for AI startups and SMEs navigating complex regulation (AI Act, GDPR, etc.). By lowering the barriers to demonstrating compliance, we help democratize access to sensitive AI markets and reduce legal risk for early adopte
Once the project is live (testnet and then mainnet), our go-to-market strategy will focus on three key pillars:
Pilot Deployment
We will onboard our first enterprise client (already identified) to validate real-world certification flows. Their feedback will help us refine the API, dashboard, and governance logic before broader rollout.
Targeted B2B Sales
We will run a structured outbound strategy aimed at compliance leads, CTOs, DPOs, and legal teams in AI-driven organizations. This includes:
LinkedIn and email automation (via PhantomBuster),
personalized demo sessions,
CRM pipeline with scoring and automated follow-ups.
Ecosystem Visibility & Partnerships
We will activate our network of legal firms, compliance experts, and institutional partners (e.g. universities, B2B marketplaces). We will also continue participating in regulatory working groups and AI policy events to build trust and adoption.
Our goal is to convert active beta testers (60 AI-focused legal professionals) into paying users and reach $200,000 ARR within 12 months of mainnet launch.
AITT has already generated nearly $100,000 in annual recurring revenue (ARR) within a year — without a dedicated sales team. The platform is actively used by major law firms and public institutions, including MYLEGITECH (contract lifecycle management), PUBLICA Lawyers (legal compliance), and CANUT (government procurement). AITT is also piloted by France's sovereign fund, Caisse des Dépôts, to certify legal AI tools.
Over 60 legal professionals are beta-testing the platform, and AITT was selected as one of the 12 most innovative legaltechs by the Caisse des Dépôts’ Innovea Challenge. We are part of Station F, ESSEC Ventures, and France Digitale, and a member of the Legal Data Space Consortium, alongside 28 leading French legaltechs. These partnerships demonstrate strong institutional validation and growing demand for decentralized AI compliance certification.
Description: Development and deployment of the core Soroban smart contract that enables issuance and verification of compliance certifications. Expiration and revocation logic will be scoped in a future release.
How to measure completion:
Smart contract deployed to Soroban testnet
Issuance and verification logic fully implemented
Unit tests published in a public GitHub repository
Sample transactions available for community testing
Budget allocation: $10,000
Estimated completion date: April 30, 2025
Description: Development of a lightweight RESTful API to enable submission and verification of certifications. The initial version will include basic endpoints and API key-based authentication. Advanced features such as OAuth 2.0 and decentralized storage (e.g. IPFS) are deferred to later phases.
How to measure completion:
API deployed on a publicly accessible test server
Functional endpoints for submission and verification
API key authentication implemented
Swagger documentation available
Budget allocation: $8,500
Estimated completion date: May 10, 2025
Description: Creation of a simple admin-style dashboard for companies and regulators to view and submit certifications. The UI will use standard frontend libraries and frameworks for speed. Visual refinements and advanced UX will follow in future phases.
How to measure completion:
Web dashboard deployed with submission and viewing functionality
Internal testing completed
Demo screenshots or video published in GitHub repository
Budget allocation: $5,500
Estimated completion date: May 25, 2025
Description: Integration of a basic multi-signature mechanism into the Soroban smart contract to govern issuance permissions. This will introduce a lightweight, on-chain governance process for decentralized oversight.
How to measure completion:
Updated smart contract deployed on Soroban testnet
Multisig governance logic functional with sample transactions
Governance model documented and shared publicly
Budget allocation: $8,000
Estimated completion date: June 10, 2025
Description: Execution of performance tests using synthetic transactions on the Soroban testnet. Metrics such as throughput (TPS), latency, and transaction cost will be collected and published. Feedback from community and SDF will guide future optimization.
How to measure completion:
Load testing scripts published
Test results documented (TPS, latency, cost)
Key optimizations implemented based on findings
Budget allocation: $6,000
Estimated completion date: June 20, 2025
Description: Development of a prototype monitoring system to generate alerts based on simple rules (e.g., upcoming expirations). Real-time automation and advanced regulatory syncing will be deferred.
How to measure completion:
Alert engine deployed on testnet
Manual interface for regulatory updates implemented
Internal testing completed and documented
Budget allocation: $6,500
Estimated completion date: July 1, 2025
Description: Design and execution of a minimal enterprise onboarding pilot to validate real-world compliance data flows. The integration will be lean, with feedback used to shape the future enterprise version.
How to measure completion:
Integration template designed and documented
One enterprise partner onboarded and test completed
Feedback collected and summarized
Budget allocation: $5,500
Estimated completion date: July 15, 2025
Description: Deployment of the AITT compliance smart contract to the Stellar mainnet, following internal validation and testnet stability confirmation.
How to measure completion:
Smart contract deployed to Stellar mainnet (contract address and Tx hash shared)
Final review checklist completed and published
Budget allocation: $10,000
Estimated completion date: July 30, 2025
Description: Refactoring of the existing REST API to support enterprise use cases, with improved scalability, modular structure, and stronger access control.
How to measure completion:
Refactored API deployed and publicly documented
Improved request throughput verified through internal tests
Enhanced authentication mechanism implemented
Budget allocation: $6,500
Estimated completion date: August 15, 2025
Description: Refinement of the dashboard interface based on feedback from initial beta testers. Improvements focus on usability, layout, and visual compliance indicators.
How to measure completion:
Updated interface deployed
Key user feedback integrated and documented
Internal beta testing log shared
Budget allocation: $4,000
Estimated completion date: September 10, 2025
Description: Definition of a long-term roadmap for maintenance and feature evolution, supported through external funding and enterprise partnerships.
How to measure completion:
Maintenance plan and sustainability strategy documented
Public roadmap shared (PDF or online document)
Budget allocation: $3,500
Estimated completion date: September 25, 2025
Background:
PhD student in Legal AI at the University of Sorbonne.
Developer of the Legal Tech Lawyer Academy, providing innovative legal technology solutions.
Member of ESSEC Ventures and Station F, the world’s largest startup campus.
Former Secretary-General of the French Institute of Legal Information (Droit.org).
Blockchain enthusiast with a passion for decentralized compliance solutions.
Role:
Leads the vision and strategy for AITT.
Focuses on bridging AI regulation and blockchain technology to create transparent compliance solutions.
Background:
PhD in AI Ethics and Security with a focus on LLM AI Agents and their ethical applications.
Formerly with Thales, specializing in secure systems and ethical AI design.
Certified Scrum Master with extensive experience in project leadership.
Role:
Background:
Former CEO of a leading Contract Lifecycle Management company in France.
Former advisor to the Prime Minister’s Office on digital transformation and legal technology.
Recognized leader in the French Legal Tech ecosystem.
Role:
Provides strategic guidance on scaling AITT within the legaltech and regtech industries.
Supports partnerships with regulatory bodies and enterprise clients.
Background:
Professor at the University of Sorbonne, specializing in AI and Data Governance.
Lawyer at the Paris Bar and Vice-President of IDFRights, advocating for digital rights.
Role:
Ensures that AITT aligns with evolving AI laws such as the AI Act and GDPR.
Leads discussions with regulators and academic institutions to establish AI compliance standards.
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By AI Transparency Token (AITT)
AITT – Ethical AI Certifications