Advancing the frontiers of AI and recruitment technology.

AI hiring platforms are transforming how companies find, evaluate, and hire talent — but what exactly are they, how do they work, and do you actually need one? This guide breaks down everything you need to know about AI hiring platforms in 2026, from core capabilities to real-world results.

Startups face a unique hiring challenge: you need to hire great people fast, but you don't have a full recruiting team, a big budget, or time to waste on bloated enterprise software. Here's how to evaluate AI recruiting software for startups — and what to look for in 2026.

Hiring is the single biggest predictor of startup success — but most early-stage companies approach it like an afterthought. This guide covers the startup recruiting playbook: how to hire fast, hire well, and build a team that compounds, without paying agency fees or hiring a full-time recruiter.

Everyone says you need an ATS. But most startup ATS software is built for enterprise teams with dedicated admins — not for a 15-person company where the CEO is still reviewing resumes. Here's a clear-eyed look at when startups need an ATS, what to look for, and why the best option might be an ATS without a dashboard at all.

Hiring a Head of Talent is one of the most expensive and high-stakes decisions an early-stage startup can make. Now there's an alternative: an AI head of talent that handles sourcing, screening, and candidate engagement at a fraction of the cost. Here's everything you need to know.

Recruiting teams are drowning in admin work while great candidates slip through the cracks. AI recruiting assistants are transforming how companies hire by automating screening, sourcing, interviewing, and candidate engagement—freeing up recruiters to focus on what matters: building relationships. Here's everything you need to know about AI hiring assistants and how to implement them effectively.

Job boards are broken. Recruiters ghost you. Applications vanish into the void. But a new generation of AI recruiting tools is changing everything—helping candidates find better roles faster, with less stress. Here's how to use AI to land your next job.

Human oversight has long been positioned as the critical safeguard against AI discrimination in hiring. New research from the University of Washington reveals a troubling reality: when humans collaborate with biased AI systems, they overwhelmingly adopt—rather than counteract—the machine's prejudices. We examine the implications for AI-assisted recruitment and what organizations must do differently.

Large Language Models can replicate and amplify societal biases, particularly in high-stakes domains like hiring. We detail our comprehensive approach to detecting, preventing, and monitoring bias in recruitment AI—from pre-training data curation to continuous evaluation metrics—and introduce our specialized bias benchmark for hiring systems.