Trudy uses AI to analyze influencer video content and psychometric data, generating a Trudy Score that predicts campaign performance. The platform evaluates personality traits, values alignment, and visual cues such as eye contact and gestures to identify authentic, high‑ROI creators. It also provides standard audience demographics and engagement metrics to help brands and agencies select and manage influencers efficiently.
Funding
$628K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Brands often rely on top-line metrics and subjective assessments to select influencers, leading to inaccurate performance predictions and wasted marketing budgets. This reliance on superficial data fails to capture the nuanced human elements that drive genuine audience connection and campaign success. As a result, brands may allocate resources to influencers who do not align with their values or deliver the desired return on investment.
Solution
Trudy AI offers an influencer selection tool that leverages artificial intelligence to analyze over 160 psychometric variables from YouTube and TikTok videos, predicting influencer performance based on human metrics. By evaluating an influencer's spoken words, personality traits, core values, eye contact, gestures, and on-screen behavior, Trudy AI identifies creators who resonate with a brand's target audience. The platform's AI-driven analysis helps brands avoid wasting resources on poor-performing influencers by providing data-backed insights into an influencer's potential impact. Trudy AI also provides personality insights to help brands tailor their communications and build stronger relationships with influencers.
Target Audience
The primary users are marketing agencies and brands that work with content creators at scale and seek to optimize their influencer marketing campaigns.
Features
- AI-driven analysis of over 160 psychometric variables from YouTube and TikTok videos
- Natural language processing to determine influencer personality profiles and core values
- Computer vision to analyze eye contact, gestures, and on-screen behavior
- "Trudy Score" to predict influencer performance based on human metrics
- Audience demographic analysis, including age, gender, and geography
- Performance tracking across subscribers, engagement rate, and video views