Lilypad

The problem

Cloud compute is a duopoly. Distributed compute markets have existed conceptually for a decade but never cleared economically — matching demand to permissionless supply requires protocol-level scheduling, verification, and settlement that legacy stacks cannot provide.

What we built

AR Data contributed engineering on the Lilypad network — compute job scheduling, provider verification, and result attestation. Focused on making distributed compute usable for AI inference workloads, where cost sensitivity and latency budgets create real demand.

Results

• Compute job scheduling
• Provider verification workflows
• Attestation on results
• AI inference focus

Tech stack