For Citizens

Verify video before you publish

Newsrooms face a growing volume of user-submitted and social media video. Kinexis screens for deepfakes, synthetic manipulation, and observable behavioral patterns so journalists can make informed editorial decisions.

Screen sources for synthetic manipulation

Upload or link any video and receive a structured authenticity assessment. Kinexis checks for AI-generated faces, altered audio, timeline splicing, and other artifacts that are difficult to spot with the naked eye. Results include confidence levels and specific indicators, not a simple pass/fail.

Identify behavioral patterns in interviews

When covering public figures, press conferences, or witness testimony, Kinexis surfaces observable patterns in facial expression, vocal delivery, and language use. These patterns provide additional data points for editorial judgment without claiming to detect deception or read internal states.

Build verification into your workflow

Each analysis produces a structured, citable report with timestamped findings and confidence scores. Reports can be referenced in editorial notes, shared with fact-checking desks, or archived alongside source material for transparency and accountability.

Kinexis identifies observable patterns in video content. It does not detect deception or diagnose emotional states. All findings are probabilistic and include confidence levels and alternative explanations. Reports are tools to inform human judgment, not replace it.