Compliance tooling built by people who have sat on both sides of the audit
Solomon AML Systems was founded by a team with backgrounds in banking infrastructure, machine learning research, and hands-on AML casework. We started with a simple observation: compliance teams don't need more alerts — they need fewer, better ones, with the evidence already assembled.
Today the platform combines graph neural networks, real-time scoring, and explainable AI into monitoring infrastructure that deploys inside your perimeter and stands up to regulatory scrutiny. We are currently running pilot deployments with institutions across banking, payments, and digital assets.
What we believe
Precision over noise
Legacy monitoring buries analysts in false positives. We believe a compliance team's time is the scarcest resource in the institution, and every alert we surface has to earn it.
Your data stays yours
We designed Solomon to run entirely inside a bank's perimeter — air-gapped if needed. A monitoring vendor should never be a data exfiltration risk.
Explainable by default
If a model can't explain a decision in language a regulator accepts, it doesn't ship. Every score, alert, and recommendation carries human-readable reasoning.
Want to talk to the team?
We personally run every demo and pilot. No outsourced sales calls.