Most CV screening is either painfully slow or brutally blunt — recruiters drowning in hundreds of CVs, or ATS filters quietly eliminating the right people. Talenyze uses AI to screen CVs intelligently for any role — tech or non-tech. For tech positions, it goes further by analyzing candidates' actual GitHub activity, not just what they wrote about themselves. Pilot result: 300 CVs, 85% less screening time, 95%+ match accuracy. Built for HR teams who want speed without sacrificing judgment.

ElevenAgents by ElevenLabs — Scale conversations without scaling your team

Scale conversations without scaling your team

My co-founder and I built Talenyze after watching HR teams we know personally spend entire weeks doing nothing but reading CVs — only to still worry they missed someone good. The real problem isn't just the time. It's that the current options are either brutally manual or brutally blunt. ATS tools filter by keywords and quietly discard strong candidates who just didn't use the right buzzwords. We wanted something smarter. Something that reads CVs the way a good recruiter would — understanding context, not just matching words. And for tech roles, going one step further by looking at what candidates actually built on GitHub, not just what they claimed on paper. We just finished our first pilot: 300 CVs across 2 companies, 85% reduction in screening time, 95%+ match accuracy. More importantly, the HR teams felt confident in the results, which is the part that's hardest to build. We're a small team, still early, and genuinely want to hear from recruiters and HR folks here. What's the part of screening you hate most? We're still building, and your input matters more than you know.

ElevenAgents by ElevenLabs — Scale conversations without scaling your team

Scale conversations without scaling your team

Talenyze

Screen CVs 85% faster — without missing the right person.

Screen CVs 85% faster — without missing the right person.