OFAC Compliance?
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
Discussion
This research is about payment reliability, which has a broad range of applications.
You could apply this to risk management/compliance but that's a very small application compared to payment reliability as a while.