Launching today
Forg3t Protocol

Forg3t Protocol

Provable AI unlearning for privacy and compliance

1 follower

Forg3t Protocol enables verifiable AI unlearning. Instead of claiming data deletion, it produces cryptographic proof that specific information has been removed from AI models. Built for GDPR, CCPA, and EU AI Act compliance, Forg3t combines selective unlearning, zero knowledge proofs, and a decentralized validator network to generate audit ready evidence regulators can trust.
Forg3t Protocol gallery image
Forg3t Protocol gallery image
Forg3t Protocol gallery image
Forg3t Protocol gallery image
Free Options
Launch Team / Built With
Anima Playground
AI with an Eye for Design
Promoted

What do you think? …

Forg3t Protocol
We built Forg3t after realizing something uncomfortable: AI systems are great at remembering, but terrible at proving they forgot something. Today, most “deletion” workflows rely on internal claims, retraining promises, or policy statements. That is not enough when regulators, courts, or users ask for evidence. Forg3t treats unlearning as something that must be proven at the behavior level. We run targeted unlearning, verify suppression with adversarial prompts, and generate cryptographic proofs that can be independently validated. This launch is our first step toward making AI forgetting auditable, not trust based. We would love feedback from people building AI systems under real regulatory pressure.