Kuli

Marketing teams running influencer and creator campaigns must search for relevant creators, vet their content and audience fit, track competitors, spot emerging trends, and manage outreach, all largely by hand. Existing filters only read surface signals like hashtags and follower counts, which misses the patterns that actually drive performance, such as hook, pacing, audience response and on-screen tone. This manual process of discovery, vetting, outreach and reporting takes time away from marketers' judgment and creative work and limits how much a team can ship without adding headcount.

Kuli is described as an AI co-worker that watches every post and then searches, analyzes and acts on behalf of a marketing team, loaded once with a brand's pillars, no-go's, past campaigns and tone so its outputs stay on-brand rather than generic. It offers search at scale to break down why a given post performs (hook, audio, pacing, caption, brand fit), competitor and industry intel to track what named rival brands are posting and paying for, a look-alike feature to find similar creators by aesthetic, audience overlap and content cadence, and a trend radar that scans millions of posts and comments across feeds to surface emerging formats before they hit a brand's timeline. The pitch is that users orchestrate while Kuli operates, handling same-day asks, scheduled routines, hourly refreshes and outreach drafts in parallel.