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Kula
✓ verifiedPaid
AI-native ATS combining sourcing, screening, scheduling, AI interview notes, and analytics for in-house recruiting teams.
👁 404K/mo♥ 715
Pricing
No public pricing
Professional Plan: $15/per user per month (Monthly) or $19/per user per month (Yearly)
Enterprise Plan: $35/per user per month (Monthly) or $39/per user per month (Yearly)
Enterprise Plus Plan: $55/per user per month (Monthly) or $59/per user per month (Yearly)
Custom Plan: On Demand
1-50 employees: $5,120 /yr (annual billing)
No public pricing
Free trial available
Core features
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- ✦Candidate Sourcing
- ✦Applicant Tracking System
- ✦Recruitment CRM
- ✦Candidate Enrichment
- ✦AI Recommendations
- ✦Collaboration & Activities
- ✦Reports & Analytics
- ✦Branded Career Page
- ✦Data Privacy Compliance
- ✦Built-in sourcing and CRM with automated outreach
- ✦AI resume scoring and auto-generated candidate summaries
- ✦AI-assisted interview scheduling with calendar syncing
- ✦AI notetaker with auto-filled scorecards and interview summaries
- ✦Conversational analytics with pipeline and DEI reporting
- ✦100+ integrations with HRIS, job boards, and background checks
- ✦Enhanced Context Engineering for deep codebase analysis and adaptive memory
- ✦Intelligent Agents for autonomous planning, coding, and testing
- ✦Spec-Driven Development for clarifying requirements and automating execution
- ✦Intelligent Codebase Search and Advanced Repository Insight
- ✦Context-aware code completions and next-edit suggestions
- ✦Support for leading AI models (Claude, GPT, Gemini)
Use cases
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- →Improve High-Volume Recruiting
- →Scale Sourcing Capabilities
- →Elevate Branding Strategy
- →Create Seamless Candidate Experience
- →Establish More Effective Processes
- →Accelerate Hiring with AI
- →Manage Candidate Database
- →Enhance Recruitment Marketing
- →Automating candidate sourcing and outreach across multiple platforms
- →Streamlining applicant tracking and screening with AI scoring
- →Coordinating interview scheduling without back-and-forth emails
- →Capturing interview notes and scorecards automatically
- →Improving hiring decisions with conversational analytics and DEI reporting
- →Delegating complex software development tasks to AI agents for autonomous completion.
- →Performing multi-file code edits and refactoring through natural language chat.
- →Gaining deep architectural understanding of a codebase to resolve issues with precision.
- →Generating unit tests, code explanations, and uncovering codebase architecture.
- →Systematically tackling software development tasks from planning to testing.
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