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Lever

AI-powered ATS and recruiting CRM that clears hiring hurdles so you can focus on decisions that matter.

Enterprise·All audiences·Powered by IBM (watsonx.governance)·API available

Key strengths

ATS and CRM combined in one platformAI-powered candidate screening and rankingAI-powered fraud preventionAutomated scheduling and workflow automationAdvanced reporting and analyticsUnlimited AI interview transcripts and summaries
Enterprise pricing
San Francisco, USA
Founded 2012

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Lever — Technical Overview

Lever is a unified ATS (Applicant Tracking System) and CRM (Candidate Relationship Management) platform designed for talent acquisition teams at small, mid-sized, and enterprise organizations. Its architecture consolidates candidate pipeline management and relationship nurturing into a single system, eliminating the need to maintain separate tools for tracking and sourcing.

AI & ML Layer: Lever's AI capabilities are governed by IBM watsonx.governance, covering:

  • AI-powered candidate screening and ranking — automated scoring of applicants against role criteria
  • AI-powered fraud prevention — detection of fraudulent or low-quality applications
  • Unlimited AI interview transcripts and summaries — automated post-interview documentation at no transcript cap

Automation & Workflow:

  • Automated scheduling reduces manual coordination overhead
  • Configurable workflow automation supports custom hiring pipelines

Integrations: Lever connects to a broad ecosystem via integrations with: VONQ · HRIS tools · sourcing tools · assessment tools · background check tools · productivity tools

An optional AI Screening add-on powered by VONQ is available for enhanced candidate filtering.

Reporting: Advanced reporting and analytics are built into the platform for pipeline visibility and hiring performance metrics.

Pricing: Custom pricing, scoped by company size, hiring volume, feature requirements, and implementation needs. Add-ons available for Candidate Insights, AI Screening by VONQ, and Onboarding. No free tier.

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