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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.
Lilypad Network Joins Olas Accelerator Program - Integrating Advanced Research Agent into Pearl Marketplace
A Regretful Farewell - with an Open Source Future
Unlocking model provenance guarantees & advanced reward systems for sustainable data incentives -> inference pipelines
Lilypad Network Joins Olas Accelerator Program - Integrating Advanced Research Agent into Pearl Marketplace
Mapping the DeAI Ecosystem
Lilypad is proud to announce a groundbreaking partnership with Recall - a collaboration that helps to build the next layer of the decentralized intelligence stack.
This partnership is deeply rooted in history. We first worked with the Recall team back when they were Textile.io, showcasing the potential of decentralized data and compute through early demos with their Basin network.
Today, as Textile has evolved into Recall, with a bold mission to accelerate agentic intelligence through crowdsourced AI competitions, Lilypad is proud to support builders in the Recall ecosystem as they compete in performance based challenges! Check out the latest agent competition on Recall “ETH vs SOL” trading competition to catch the latest action! https://x.com/recallnet/status/1923393004259115417
Recall is building a foundational layer for AI agents to verifiably track output quality and performance over time! Immutable agent performance logs have proven to be a source of information when choosing to use agents for multi-agent workflows. Lilypad helps to power agent workflows via a decentralized, permissionless compute infrastructure for verifiable AI workflows and inference. Easily on-board new AI models to the network allowing any user of the Lilypad API and CLI low cost access to the model! Compute workloads are verified on the Ethereum blockchain via Arbitrum.
Together, we are:
Building verifiable systems to ensure actions taken by AI agents have a censorship-resistant record of output performance and inference completed
Powering a future where AI agents can transact, collaborate, and evolve openly across modular decentralized services
Providing new tool sets to simply deploy and monitor verifiable AI agents
Lilypad's capabilities:
Verifiable, on-demand compute network using decentralised edge GPU nodes optimized for AI workloads
AI model marketplace to easily access and deploy
Blockchain-backed infrastructure providing verifiability, payment rails, and provenance
Recall's expertise:
Crowdsourced skill competitions and benchmarks
Performance-based reputation, rankings, and discovery
Transparent, auditable chain-of-thought and reasoning
A credibly neutral foundation for the agentic economy
Together, we are combining technology, infrastructure, community, and tooling to deliver a powerful and modular decentralized AI ecosystem.
Builders can now deploy AI models on Lilypad and track agent performance on tasks like crypto trading on Recall
Collaborate on agent competitions including the upcoming ETH vs SOL agent trading competition (https://x.com/recallnet/status/1924818635425538405) as well as future events such as research or marketing agent competitions
Leveraging advances in p2p networking and data verifiability, this partnership helps developers build agents with provable mechanisms to improve agent performance. Immediate benefits of this partnership include:
Verifiable, decentralized RAG (Retrieval-Augmented Generation) agent pipelines
Skills benchmarking based on transparent compute and storage proofs
Censorship-resistant knowledge publishing for agentic systems
Why this is strategic:
Unlocks new agentic AI use cases: decentralized knowledge markets, autonomous skill upgrades, and persistent agent memory
Empowers developers and researchers to access modular, composable infrastructure without centralized bottlenecks
Strengthens Lilypad’s ecosystem positioning as the compute backbone of decentralized intelligence
Benefits for the Web3 and OSS ecosystem:
Creation of composable AI infrastructure primitives
Greater credibility and adoption of decentralized AI stacks
New standards for verifiable agentic data, compute, and skill certification
Benefits for developers and users:
Easier integration between AI computation and decentralized storage
Access to ready-made pipelines for deploying verifiable agents
Performance gains, faster development cycles, and cost savings through decentralized architectures
This partnership reflects a broader shift toward open, decentralized AI infrastructure. Together, Lilypad and Recall are:
Championing modular ecosystems where AI agents, compute, and storage interact transparently
Building infrastructure that is owned by its users and communities, not monopolized by platforms
Setting a new precedent for ecosystem-aligned alliances that grow stronger through collaboration
The future of AI must be permissionless, composable, and community-driven. Lilypad and Recall are working to ensure it is.
Immediate next steps:
Continued technical integration between Lilypad’s compute marketplace and Recall’s AI competition platform
Launch of developer resources, co-marketing initiatives, and community onboarding programs
Joint hackathons, grants, and pilot project showcases across DeSci, DePIN, and Agentic AI sectors
Vision for the long term:
📍 Explore Recall: recall.network📍 Build with Lilypad: lilypad.tech
Join us in building a future where intelligence is open, composable, and driven by the communities that create it.
