Kula

Kula is an AI-native applicant tracking system designed to streamline hiring across sourcing, screening, interviewing, and analytics. It targets recruitment teams looking to simplify processes by using a single platform where AI features assist workflow and decision-making. The product presents itself as an all-in-one solution built by recruiters for modern hiring, focusing on reducing manual data entry and fragmentation. It emphasizes native AI that understands recruiter workflows and real-world hiring needs.

Kula operates as a unified workflow that connects multiple recruiting stages within one system. It claims to replace patches from separate tools with a connected sequence of activities, from sourcing and screening to interviews and analytics. It presents itself as built to maintain continuity during hiring processes.

Kula highlights core capabilities such as sourcing and CRM, AI-powered screening, AI scheduling, AI notetaker, interview insights, and conversational analytics. It emphasizes built-in scorecards, centralized candidate history, and bias-reducing structured feedback. The messaging stresses built-in reporting, DEI tracking, and cross-team visibility without relying on external tools. It portrays itself as a single system that supports end-to-end hiring workflows.

The product mentions plans and platform scope including headcount-based pricing, 100+ integrations, SSO and RBAC, GDPR-ready data protection, and compliance features. It notes built-in AI, native tools, and ongoing support. The scope appears to cover startups through mid-market and larger teams, with emphasis on migration and access control.

Use cases

• Sourcing candidates and managing relationships within a built-in CRM.
• Screening and scoring candidates with AI-powered tools.
• Scheduling interviews with reminders and workflow triggers.