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Endorsed

AI-powered recruiting assistant that helps teams source and hire top talent faster.

4.8 (4)
Daniel NikulshynRecensito da Daniel Nikulshyn·Aggiornato maggio 2026

Panoramica

Endorsed is an AI-driven recruiting platform designed to streamline the hiring process for talent teams. It uses machine learning to surface relevant candidates, evaluate fit against role requirements, and reduce the manual effort typically spent on sourcing and screening. By automating repetitive parts of the recruiting workflow, Endorsed aims to help recruiters spend more time on high-value activities like candidate engagement and interviewing. The platform is positioned for in-house talent teams and growing companies looking to shorten time-to-hire without sacrificing candidate quality.

Funzionalità chiave

  • AI-powered candidate matching
  • Automated resume screening
  • Talent sourcing recommendations
  • Role-based fit scoring
  • Recruiter workflow automation
  • Integrations with hiring pipelines

Casi d’uso

Accelerate Candidate Sourcing

Talent teams use AI-powered matching to quickly surface qualified active and passive candidates for open roles, reducing hours spent on manual sourcing.

Automate Resume Screening

Recruiters automatically screen inbound applications using role-based fit scoring, prioritizing the strongest matches and cutting time-to-shortlist.

Standardize Candidate Evaluation

Hiring teams apply consistent fit criteria across applicants, helping reduce bias and ensure more objective comparisons against role requirements.

Scale Hiring at Growing Companies

In-house talent teams at growing organizations shorten time-to-hire by automating repetitive recruiting workflows and integrating with existing hiring pipelines.

Pro & contro

Pro

  • Speeds up candidate sourcing and screening
  • Reduces manual recruiter workload
  • Helps surface qualified passive candidates
  • Supports more consistent evaluation criteria

Contro

  • May require tuning to match niche roles
  • Less useful for very small hiring volumes
  • AI recommendations still need human review

Recensioni

4.8

Media su 4 valutazioni.

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C

Carlos Mendoza

Compared a few options

Evaluated this against two competitors. Where it wins: role-based fit scoring and speeds up candidate sourcing and screening. Where it lags: aI recommendations still need human review. On balance the feature set — especially talent sourcing recommendations — justifies the 4 stars for our use case.

Y

Yuki Mori

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on talent sourcing recommendations, and reduces manual recruiter workload caught me off guard. still, I'd recommend giving it a real trial.

D

Devin Walker

Years in this space

I've evaluated a lot of these over the years. What stands out here is recruiter workflow automation — handled better than most — and reduces manual recruiter workload. Worth the time if this is your use case.

F

Frank Müller

Solid for our team

We rolled this out across the team last quarter and speeds up candidate sourcing and screening. AI-powered candidate matching fits neatly into how we already work, and automated resume screening removed a step we used to do by hand. but it has held up under daily use.

Q&A

Ancora nessuna domanda — sii il primo a chiedere.

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