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Customers

What real teams ship with RateStack.

Three stories below — paraphrased and anonymized at the customer's request. Identifiable case studies get added when customers explicitly approve them. We do not fabricate logos.

Mid-size correspondent

Cut lock-day surprises by adopting two-stage eligibility, replaced an in-house pricing engine in eight weeks, and now produces compliance traces directly from the API.

−92%

lock-day surprises

8 wk

engine replacement

0 hr

audit response (now SLA-bound)

Two-stage eligibility cut our lock-day surprises to almost zero. The drill-down is the first time a pricing engine has actually answered 'why' for our compliance team.
VP, Capital MarketsMid-size correspondent lender

Wholesale broker network

Migrated 40 LOs off five wholesale-lender portals into one workspace, with saved scenarios and per-quote drill-down. Webhook DLQ replay closed an entire class of operational tickets.

5 → 1

portals per LO

+2 hr

per LO per day

100%

webhook recoverability

The webhook DLQ replay alone justified the migration. We used to lose deliveries when subscribers blipped; now we replay them in one click and the trace shows exactly what we did.
Director of EngineeringWholesale broker network

Mortgage banker · Secondary

Hedge desk consumes pricing.computed and locks.* events with a shared correlationId, eliminating fuzzy bid-tape matching. Sell-side completion audit feeds pull-through analytics.

+18%

bid-tape match rate

−4 days

month-end recon

1

join key (correlationId)

Our hedge desk needed clean event-time pricing. The correlationId on every event means we can join pricing, lock, and sell-side data without guessing.
Head of SecondaryMortgage banker

For the long-form versions of these stories — problem, evaluation, migration, results — read the case studies. Want to be the next story? Request a demo.

Common patterns

What every customer story shares.

Three patterns show up regardless of audience: explainability, eventing, and audit. The platform was designed around them; that's why customers say similar things.

Explainability ends arguments

Per-rule trace converts 'why this price' into a paragraph the LO, the borrower, and the auditor can all read.

One correlationId, one timeline

Cross-system reconciliation is a join, not a guess. The same id flows from API to event to webhook to audit.

Audit is push, not pull

Hash-chained audit log + verify endpoint means the question 'has this changed?' has a binary answer.

Customers | RateStack