Where Pulsar was proven first.
Mortgage is where the platform was proven first — shaped by decades of hands-on work with the regulators and agencies that govern the industry: the CFPB, FHFA, HUD and OCC.
How Pulsar fits
Pulsar pairs a deterministic rules engine with a reasoning AI engine inside every workflow. Investor and agency policy, escrow and delinquency rules execute the same way every time, while reasoning AI drafts borrower and investor communications, reviews documents and flags the exceptions that need a human.
Because workflows, rules, panels and reports are configuration rather than code, a servicer can stand up a new investor program or react to a guide change in days, not the multi-quarter release cycles legacy servicing systems require — a real advantage when Reg X, Reg F, agency guides and investor overlays change as often as they do.
Products
Three purpose-built mortgage products share the same engines and data model.
A modern, rules-engine and event-driven loan servicing core, with no-code investor and program policy, real-time APIs, and dedicated support for manufactured-housing chattel and HELOC servicing that most general-purpose platforms don’t cover well.
Explore
An AI-native loss mitigation program that manages every workout under its investor’s rules, from intake through trial payment and closing, with 19+ prebuilt FHA/FNMA/FHLMC program configurations and AI case-work agents in the workbench.
ExploreA customer service, collections and SPOC (single point of contact) desktop that runs inside PSP, with Loss Mitigation as an optional hand-off — built around Reg X continuity-of-contact and Reg F/TCPA calling rules from the ground up, so contact compliance is enforced in the routing and click-to-dial decision rather than left to agent training.
ExploreCompliance
The rules engine encodes the specific cadences and thresholds servicers are held to — Reg X §1024.39/§1024.40 early-intervention and continuity-of-contact timelines, Reg F’s call-frequency limits, and the FNMA, FHLMC, FHA, VA and USDA guide requirements for outreach and loss mitigation — so every contact and workout decision runs against the current rule, not a stale policy memo.
AI-based monitoring continuously QCs servicing and loss-mitigation decisions against those same rules, giving compliance a running audit trail ahead of investor and agency reviews instead of a quarterly sampling exercise.
Keep exploring