Hum

Founded by Dustin Smith & Thane Kerner in 2020

Build AI-driven content intelligence for scholarly and B2B media publishers

Pricing model

Demo

Rating

★ People love it

Time to value

Requires Expertise

You can use Hum to manage the full publishing workflow with AI. It screens manuscript submissions for fit and integrity issues, builds custom content taxonomies automatically, and turns anonymous site visitors into named audience profiles. Editors can score and prioritize submissions faster, marketing teams can target researchers and readers with precision, and content becomes easier to discover. Hum's core product, Alchemist, serves both academic journal publishers and B2B media brands dealing with high content volumes.

What Hum does

Score incoming manuscript submissions for editorial fitValidate citations and flag integrity risks in submitted papersBuild and maintain a custom content taxonomy automaticallyCreate named audience profiles from anonymous web trafficTarget author recruitment campaigns by topic interestSegment readers for newsletter and event campaignsPrioritize editorial review queues based on submission scoresScores manuscript submissions for topic fit automaticallyFlags potential integrity risks and validates citations in submitted papersConverts anonymous website visitors into named audience profilesBuilds a custom AI content taxonomy in weeks and updates it automaticallyTargets calls for papers, event invitations, and newsletters to specific researcher profilesRoutes content to relevant readers based on topic interestsSurfaces high-priority submissions for editors to review first