Skip to main content

Command Palette

Search for a command to run...

Lilypad x Gateway

Powering the Private Compute Layer for Decentralized AI

Updated
3 min read
Lilypad x Gateway
A

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 🥐

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