A New Default for Creative Hiring.
Built for studios, powered by visual intelligence.
Personalized searches
Set your criteria—tools, skills, and style tags—and get candidates that match what you're actually looking for.
Style-based matching
Use visual references and portfolio signals to find talent with the right visual language for your project.
Curated shortlists at scale
Turn large candidate pools into focused shortlists, so teams can review faster without sacrificing quality.
Alex Chen
Character Artist
Expert
San Francisco, CA
Sam Rivera
Tech Artist
Expert
Austin, TX
Jordan Kim
Tools Engineer
Intermediate
Seattle, WA
Morgan Lee
Character Artist
Referral
Expert
Los Angeles, CA
Riley Chen
Character Artist
Intermediate
Chicago, IL
Hiring operations in one place
Manage statuses, notes, and outreach alongside each candidate's portfolio, without jumping between tools.
Connected to your hiring ecosystem
Bring discovery, evaluation, and coordination into your existing workflow with lightweight integrations.
AI agents for visual and semantic talent discovery
Image, video, and portfolio intelligence combined into a single hiring signal built for creative teams.
Alex Chen

Character Artist · Stylized Character Pipeline
Strong craft fit · Production-ready Unreal rigging · Clear style evolution
Sam Rivera

Tech Artist · Procedural Environment Tools
Houdini + Python depth · Pipeline automation signals · Studio-ready output
Jordan Kim

Tools Engineer · Asset Pipeline Automation
CI/CD maturity · Unreal integration · Technical breadth across stack
Morgan Lee

Shader Artist · Real-time Shader Library
HLSL proficiency · Visual coherence · Stylized lighting expertise
Casey Park

Animator · Animation Retargeting System
C++ pipeline work · Production delivery · Strong technical foundation
Riley Brown

Technical Artist · Texture Streaming Optimizer
Optimization focus · Unreal runtime · Performance-oriented craft
Hiring, from first signal to final decision
HireCrit supports the full creative hiring workflow, from discovery and evaluation to interviews, decisions, and follow up, all grounded in real work signals.
faster time to shortlist
Teams move from open exploration to clear shortlists in days instead of weeks, without losing context or quality.
fewer re-reviews across hiring stages
Shared context and evidence reduce back and forth, duplicated reviews, and late stage disagreements.
fewer interviews per hire
Early signal quality improves screening so teams spend interview time on the right candidates.
Request a demo
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