Lilypad x Gateway


Lilypad is thrilled to announce a landmark partnership with Gateway, the team behind the Shared Private State, to build the private, encrypted foundation of decentralized AI.
This isn’t just a bridge between networks — it’s an encrypted tunnel to the future. Together, we unlock programmable, verifiable, privacy-preserving AI compute at scale.
🌟 Details of Partnership - Synergistic Strengths
Lilypad provides:
A decentralized GPU marketplace for running inference, model training, and agentic workflows
Verifiable, modular AI-first compute layer with blockchain-coordinated payment rails and provenance
Composable job architecture to plug into any system — agents, dApps, research pipelines, L2s
Gateway delivers:
Encrypted compute powered by their MPC-based Shared Private State
Programmable cryptography for developers through SDKs in Go, JavaScript, and Rust
A full Privacy Enhancing Technologies (PETs) Marketplace including garbled circuits, proxy re-encryption, TEEs, and homomorphic encryption
Combined, we form a stack that makes confidential decentralized AI usable, scalable, and programmable.
🔧 Practical Synergies (Short-Term)
What’s possible today:
AI models deployed on Lilypad can now run encrypted through Gateway’s Shared Private State
PETs like proxy re-encryption and garbled circuits now plug into live GPU compute workflows
Devs can integrate Gateway SDKs with Lilypad job endpoints to spin up fully encrypted training and inference pipelines
Use cases already underway:
Federated healthcare AI where patient data never leaves encrypted state — powered by Gateway’s encryption and Lilypad’s GPUs
Confidential financial model training — fraud detection and risk scoring across encrypted, multi-institution data
Private enterprise AI — companies retain full IP privacy while accessing Lilypad’s distributed compute grid
🚀 Roadmap Collaboration (Mid-Term)
Over the next few months:
We’ll co-launch a POC showing encrypted LLM inference on Lilypad using Gateway’s Garbled Circuit SDK
Gateway’s PET marketplace will be integrated into Lilypad’s developer documentation and workflow guides
Builders will get co-branded examples, tutorials, and grant support for privacy-preserving AI applications
Future milestones:
Composable privacy primitives layered directly into Lilypad’s job architecture
zk-like encrypted compute receipts for verifiability + confidentiality
Gateway PET modules powering AI agents, simulations, and multi-party compute coordination
Together, we’re building the secure compute core of the decentralized AI stack.
📈 Strategic Value - Why It Matters
This is a strategic unlock for DeAI:
Encryption + Compute = Confidential Coordination
Gateway enables Lilypad jobs to run on sensitive data without leaking inputs, outputs, or model logic
From healthcare to finance to agentic infrastructure, privacy is no longer a blocker — it’s now programmable
Benefits to the Web3 and OSS ecosystem:
PETs + Compute workflows that devs can integrate without complex infra
Launchpad for a new generation of DePIN x AI applications with built-in privacy
Elevates Lilypad’s position from just verifiable compute to verifiable + confidential compute
For developers:
One-click access to encrypted job execution
Modular SDKs in the language of your choice
Ability to deploy next-gen AI agents without exposing model logic or user data
🌍 Long-Term Vision – Infrastructure for Encrypted Autonomous Intelligence
Lilypad and Gateway are aligned in the belief that decentralized AI must be both scalable and secure.
This partnership advances:
A Layer 0 for DeAI where encrypted state, compute liquidity, and model logic meet
A framework for encrypted model marketplaces, agent networks, and shared inference layers
A decentralized stack for programmable privacy, economic coordination, and agent autonomy
This sets a new precedent for ecosystem-aligned infrastructure: not just decentralized — encrypted, composable, and unstoppable.
📅 What’s Next
Immediate:
Teams are co-building a proof-of-concept using Garbled Circuits + Lilypad compute
Gateway SDKs now available for encrypted data vault and PET development
Shared roadmap, dev documentation and example jobs publishing soon
Medium-term:
PET Marketplace + Lilypad compute integrated via SDK and UI
Partner developer campaigns to co-fund new private DeAI primitives
Joint GTM for secure agent frameworks and confidential compute ecosystems
🔍 Explore Gateway: https://gateway.tech
🌐 Launch encrypted compute: https://lilypad.tech
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Written by

Alison Haire
Alison Haire
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 🥐