System One <> Mokka

Every application is cross-checked against LinkedIn and third-party sources automatically, with IP and metadata signals flagged (e.g., candidate claims India, IP resolves to Russia). Integrity flags are a filterable facet, so recruiters triage the pile in one pass instead of verifying profiles by hand.

Note: Mokka doesn't run government-grade ID verification. If live identity proofing becomes the priority, we integrate with Persona or Clear — we've scoped that layer for other customers.

Every applicant gets a structured check-in conversation — voice or chat, your choice — that probes the claims on their resume and collects the data a recruiter would gather on a first call. Answer integrity is scored: generic mirror-the-question answers and claimed experience absent from the resume get flagged. By the time a human recruiter engages, they're engaging a qualified candidate, not triaging a pile.

Every resume is normalized and enriched. Companies on the resume are expanded with what they do, industry, size — no more switching tabs to figure out whether a listed employer is real. Fit is scored across explicit requirements plus industry, growth stage, and culture signals.

Requirements — including clearance level, location, tech stack, or anything specific to a federal req — are pulled automatically from the Bullhorn job and editable in plain English. Knockouts run on submission; job-hopper flags and other patterns fire on autopilot. No rules engine to maintain.

Enterprise deployments ship with a paired recruitment engineer as a near-permanent member of the team — not a CSM, an operator who works with your recruiters on screening criteria, interview plans, and the change-management gradient with your most tenured folks. The tool lands because someone owns the landing.