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Unlocking model provenance guarantees & advanced reward systems for sustainable data incentives -> inference pipelines
Let's talk about the real things. Founder @ Lilypad Compute Network prev-@Protocol Labs | @Filecoin | @Lilypad_Tech PM | Advisor @GodwokenRises | prev-@IBM TechJam Podcast Co-Host | coder, engineer, dog lover 🐕, global citizen 🌏, entrepreneur 👩💻, aspiring francophone 🥐
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Welcome to Lilypad's Press Room, your source for the latest news and announcements about our groundbreaking decentralized compute network.
The Lilypad IncentiveNet Program invites users to participate in the world's first permissionless, multi-chain, distributed compute network dedicated
A Regretful Farewell - with an Open Source Future
Lilypad Network Joins Olas Accelerator Program - Integrating Advanced Research Agent into Pearl Marketplace
Powering the Open Intelligence Economy
Mapping the DeAI Ecosystem
Lilypad is thrilled to welcome our first advanced custom creative model provider to the network in a new collaboration with Facial DNA Network (FDN). This partnership brings together decentralised AI infrastructure and purpose-built facial inference models and data incentives, opening a powerful new chapter in user-owned AI.
FDN is building token-incentivised facial recognition tools that let users contribute images, refine biometric models, and earn for their participation. Their approach combines privacy-aware ML pipelines with reward systems that align incentives across communities, developers, and model creators.
Both Lilypad and FDN believe in building systems where AI is accessible, transparent, and driven by the people who use it. This partnership is grounded in mutual respect for open ecosystems, user ownership, and scalable infrastructure providing a virtuous cycle and fair economics for contributors.
Lilypad provides:
Monetisable Open-Access Model Marketplace
Flywheel for sustainable data incentives -> model training -> model end use
Decentralised GPU network capable of running containerised models
Open API layer with verifiable, pay-per-job execution
Built-in provenance and proof-of-compute
FDN contributes:
High-signal facial matching models trained on consented, user-contributed data
Data incentives for data collection & clear data provenance audits
A user-friendly interface with filters and remixable outputs
A tokenised economy ($FDN) designed to support growth, access, and contribution
Together this enables:
A system where users can run facial inference jobs, choose to share their data, and earn $FDN -> creating a virtuous loop and audit trail for model provenance & economic sustainability
A platform for launching creative, co-branded campaigns that amplify both utility and reach
Live containerised deployment of FDN’s model on Lilypad
FDN’s facial inference model is now live on Lilypad. Users can:
Run inference
Opt in to share their image
Improve the model
Earn $FDN for participating
Each run fuels the system. Data trains better models, better models attract more users, and more users keep the loop spinning.
FDN’s models are designed for identity, avatar generation, and video outputs. They are containerised, callable, and monetised on a per-job basis using Lilypad’s infrastructure. This gives model creators a scalable and direct way to publish and earn.
All Lilypad jobs come with built-in proof. Developers and users can verify what was run, when, and on which hardware. This allows for auditability, reproducibility, and trust across the pipeline.
Developers get plug-and-play access to advanced identity models.
Users can contribute, earn, and play with custom outputs.
Ecosystem builders get a composable layer for building next-gen agents, identity flows, or user-facing experiences.
This collaboration focuses on containerising FDN’s models in a reproducible, job-based format. These models run through Lilypad’s decentralised compute network, with each execution signed by the hardware operator and verified through Lilypad’s proof system. This provides on-chain compatibility, audit trails, and structured attribution.
This integration unlocks new biometric capabilities for builders and creatives alike. Imagine:
A decentralised identity onboarding flow that uses FDN’s face match tech for secure verification
Earning tokens for contributing your image to improve a model, tracked transparently through Lilypad’s job logs
Lilypad’s first advanced creative model provider joining the network
These aren’t blue-sky ideas. These are now within reach.
We’re already collaborating on a follow-up project designed to push this even further - bringing creative outputs, on-chain rewards, and social integrations into one launch. We can’t tell you about it yet…. but you’re going to have fun with it!
Stay tuned for more ;)
Follow, test, and build with us:
The future of biometric AI is decentralised, permissionless, and user-powered. Let’s build it together!
