Kula
The Unified Recruitment Automation Engine for Modern Talent Acquisition
Humanly is an enterprise-grade AI recruitment platform designed specifically for high-volume hiring environments. Its 2026 market position centers on providing a unified 'AI Orchestration Layer' that sits between candidates and Applicant Tracking Systems (ATS). Technically, the platform utilizes advanced Natural Language Processing (NLP) for multi-channel screening (SMS, Web, WhatsApp) and LLM-driven 'Humanly Voice' for real-time interview intelligence. Unlike generic chatbots, Humanly's architecture focuses on ethical AI, utilizing proprietary bias-mitigation algorithms to ensure fair candidate evaluation. The platform automates the most time-intensive parts of the recruitment funnel: initial screening, complex multi-party scheduling, and post-interview data entry. By integrating deeply with ecosystem staples like Greenhouse, Workday, and Lever, Humanly transforms the recruiter's role from administrative data entry to strategic human-to-human decision-making. Its focus on candidate sentiment analysis and predictive hiring success metrics makes it a cornerstone for organizations processing thousands of applicants monthly.
Uses Whisper-based transcription and custom LLM summarization to record and analyze interviews.
The Unified Recruitment Automation Engine for Modern Talent Acquisition
Unified talent acquisition and candidate engagement driven by AI-powered intelligence.
Enterprise AI for automated resume rebranding and structured candidate data extraction.
AI-accelerated hiring that automates screening, scheduling, and candidate sourcing in one unified stack.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
NLP filters that flag gendered language or socio-economic indicators during the screening process.
A proprietary algorithm that optimizes interview slots based on recruiter/hiring manager historical availability and success rates.
Analyzes candidate chat interactions and interview tone to quantify candidate sentiment.
A persistent candidate state machine that maintains conversation context across SMS, Web, and WhatsApp.
AI-led outreach to candidate references with structured data collection and verification.
Branching logic in candidate screenings that adjusts questions based on real-time NLP response analysis.
Processing 5,000+ applicants for seasonal roles within a 2-week window.
Registry Updated:2/7/2026
Inconsistent feedback across different engineering hiring managers.
Candidates dropping out of the funnel due to long wait times between stages.