Payment reliability is the most important metric for the Lightning Network as a payment system.

We teamed up with @HelloStillmark to deliver research that leverages machine learning to bring enterprise payment reliability to the Lightning Network.

Our New Research: "Channel Balance Interpolation in the Lightning Network via Machine Learning" decimates the tired and risky approach of probing to find a reliable payment route.

Combining crowdsourced data and machine learning means reliable payments on LN with less spam.

We're applying this methodology to a new pathfinding-as-a-service feature that is showing extremely promising early results.

We're looking for exchanges, rewards programs, or play-to-earn with high outbound payment volume to put our pathfinding service to a real-world test.

To learn more about our research or to join us as part of our payment operations solution, be sure to visit: https://rpo.dev/pathfinding

This research would not be possible without our collaborators:

@HelloStillmark

@vsingh_5

@emaros96

And peer reviewers:

@renepickhardt

Dr. Christian Kummerle

@alexbosworth