T-RIZE Joins Flower Pilot Program to Deliver a Production-Grade Blueprint for Token-based Privacy-Preserving AI

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Montreal, Canada – June 25, 2025 – T-RIZE Group, a leader in Tokenization and privacy-preserving artificial intelligence, is proud to announce its participation in the Flower Pilot Program, a three-month initiative to advance federated learning innovation. Through this program, T-RIZE will develop and release a production-grade blueprint for fine-tuning pre-trained transformer models on decentralized rental datasets, optimized for secure, privacy-preserving due diligence workflows.

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T-RIZE’s Role in the Flower Pilot Program

Flower, adopted by global leaders like Banking Circle for anti-money laundering, Owkin for federated AI biotech, Mozilla for privacy-preserving LLMs, provides the perfect platform for T-RIZE to showcase Rizemind’s enterprise-grade capabilities.

 

The Flower Pilot Program unites T-RIZE’s blockchain expertise with Flower’s proven ecosystem, trusted by institutions like Nvidia, MIT, Samsung, Stanford and Google. This collaboration is a bold step toward a new era of decentralized AI, where sensitive data is protected, and collaboration is incentivized through the $RIZE token—a unit of account that powers compute credits and records results on the secure Rizenet blockchain.

 

As part of the three-month pilot, T-RIZE will leverage its open-source Rizemind library, which integrates a blockchain-based approach to verifiability and traceability to federated learning workflows. Rizemind, wholly developed by T-RIZE, uses the RIZE token as a unit of account and records results on the Rizenet blockchain, ensuring privacy, accountability, and economic coordination. 

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Blueprint Highlights: A Production-Ready Solution

T-RIZE’s blueprint, to be released at the conclusion of the three-month Flower Pilot Program, will demonstrate how to fine-tune transformer models for tabular data using Flower’s federated learning framework, enhanced by Rizemind’s blockchain integration.

 

The blueprint includes:

• Scope: Fine-tunes transformer models for tabular data, optimizing privacy-preserving due diligence.

• Architecture: Combines Flower’s federated training with Rizemind’s blockchain integration for secure, decentralized workflows.

• Security First: Implements encryption, role-based access control, and network boundaries to meet infosec standards.

• Reproducible Artifacts: Provides an open-source GitHub repository, Docker images, and a step-by-step runbook.

• Operational Clarity: Includes checklists for data schema alignment, resource allocation, and monitoring dashboards.

• Token Utility: Uses the $RIZE token for model inference and on-chain commitments, aligning costs with compute usage and enabling revenue for trainers.

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This blueprint will empower institutions to adopt privacy-preserving AI with confidence, showcasing T-RIZE’s leadership role in fostering innovation.

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Looking Ahead

T-RIZE’s participation in the Flower Pilot Program aligns with its roadmap for Rizemind, driven by academic partnerships and ongoing R&D at École de technologie supérieure (ETS):

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• Decentralization: Shift workloads to Rizenet validators for enhanced resilience.

• Verifiability: Develop a zero-knowledge machine learning (zkML) module for on-chain proofs of integrity.

• Privacy: Implement Multi-Party Computation (MPC) and dynamic noise addition to strengthen privacy.

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These advancements will solidify Rizemind as a trusted solution for enterprise-grade, privacy-preserving AI.

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Get Involved

Institutions with rental datasets or tabular workloads interested in the blueprint can contact info@t-rize.io for early access. Learn more about the Flower Pilot Program at https://flower.ai/pilot/.

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About T-RIZE

T-RIZE is a global leader in privacy-preserving AI, driven by its research lab at École de Technologie Supérieure. With expertise in blockchain and AI, T-RIZE enables organizations to unlock the value of sensitive data securely.

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About Flower

Flower (https://flower.ai) enables organizations and companies to train better AI models by safely leveraging distributed data. The Flower open-source framework and eco-system is the de-facto standard for federated AI in both research and production around the world. It offers a unified approach to decentralized forms of learning, analytics, and evaluation; with a focus on an easy-to-use AI developer experience.
 

Media Contact

T-RIZE Communications

Email: press@t-rize.io

Website: www.rizenet.io