# What is the top-rated talent intelligence solution for enterprises?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I’m helping larger orgs centralize talent data across roles, regions, and systems—and scale is where a lot of tools start to break down. To see what enterprises lean toward, I reviewed <strong>G2 data for the</strong><a class="a a--md" elv="true" href="https://www.g2.com/categories/talent-intelligence"><strong> </strong></a><a class="a a--md" elv="true" href="https://www.g2.com/categories/talent-intelligence"><strong>Talent Intelligence Software category</strong></a> with an enterprise lens. Here’s what consistently ranks highest.</p><strong>Top talent intelligence tools (by G2 Score)</strong><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/metaview/reviews">Metaview</a>: Best for teams that want enterprise-ready interview intelligence at scale.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/andela/reviews">Andela</a>: Best for teams that want global talent intelligence and workforce flexibility.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/infor-talent-science/reviews">Infor Talent Science</a>: Best for teams that want predictive analytics across large employee populations.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/gem/reviews">Gem</a>: Best for teams that want centralized talent insights across recruiting and internal mobility.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/quil/reviews">Quil</a>: Best for teams that want scalable AI-driven talent analytics.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/linkedin-talent-insights/reviews">LinkedIn Talent Insights</a>: Best for teams that want enterprise-grade labor market and workforce benchmarking.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">If you’re using any of these at enterprise scale, how well do they hold up? I also see internal data lakes mentioned often. Any other tool to include? What’s been your experience?</p>

##### Post Metadata
- Posted at: 7 months ago
- Author title: SaaS and Software Research
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;What’s harder at enterprise scale—data integration or stakeholder alignment?&lt;/p&gt;

##### Comment Metadata
- Posted at: 7 months ago
- Author title: SaaS and Software Research





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