AI and Data Usage Policy
This page explains how Flinque LLP uses data and machine learning to power Flinque scores and estimates. This page is a plain-language summary and not legal advice. Confirm the final text with counsel before publishing.
1. What our models do
We use machine learning to estimate audience authenticity, fraud likelihood and engagement quality from public and licensed signals across Instagram, YouTube, TikTok and X.
2. Data we use
Models are built on public profile data, engagement patterns and licensed datasets. We do not sell your account data to train third party models.
3. Estimates not guarantees
Scores are probabilistic estimates to support your judgement. They are not a final verdict on any creator and should not be the only basis for a high stakes decision.
4. Human oversight
We monitor model outputs for accuracy and bias and refine them over time. You can flag a score you believe is wrong at [email protected].
5. Your content
We do not use the private briefs or contact lists you upload to train models that serve other customers without a lawful basis.
See Flinque in action
Find Influencers for $49 a Month: Flinque vs Modash and HypeAuditor (2026)