Compass scores every application against the combined funded-deal history of every Compass customer — anonymized, aggregated, and getting smarter every day. Day 1 you ride a model trained on 4,000+ MCA deals. You see prior deals on incoming principals from across the network, not just your own book.
Compass's risk model trains on the combined funded-deal history of every customer in the network. Your scores on day one are calibrated against thousands of MCA deals, not just yours. Your data + their data, everyone benefits.
When a principal applies at your shop, Compass checks the network: how many other funded deals does this person have, and how did they perform? Catches serial applicants and stacking — without revealing which other lender saw them.
A v6.1 ensemble model scores every application 0–100, with confidence intervals (5-model agreement) so you know how much to trust each one.
Compass suggests advance amount, factor, term, and conditions for every approval — based on what historically-performing similar deals looked like across the network.
Your funding tiers (Platinum / Gold / Silver / Decline) baked in. Every applicant gets routed automatically + violations called out.
We ingest your entire historical pipeline at signup and replay Compass against it — so you see exactly how much money you would have saved before you commit.
Connect your LMS or drop in a CSV. First scores in under 10 minutes.
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