For Organizations
Protect editorial integrity at scale
Publishers and newsrooms receive a growing volume of user-generated video. Kinexis provides structured authenticity screening and behavioral analysis, helping editorial teams make faster, more informed decisions about the content they publish.
Screen user-generated content
Run incoming video through Kinexis to flag potential deepfakes, synthetic audio, and manipulation artifacts before publication. Each analysis produces a structured report with specific indicators and confidence levels, giving editorial teams actionable data rather than a black-box verdict.
Integrate via API for editorial workflows
The Kinexis enterprise API supports batch analysis and webhook notifications, allowing integration with existing CMS and editorial pipelines. Submit videos programmatically, receive results via webhook, and route flagged content for human review automatically.
Maintain audience trust
Publishing manipulated content erodes audience trust and creates legal exposure. Kinexis provides a documented verification step that can be referenced in editorial notes, corrections, and transparency reports. Build verification into your publishing workflow rather than reacting after the fact.
Related Use Cases
Synthetic Content Detection for Trust & Safety
Detect deepfakes and synthetic content at platform scale. Kinexis helps trust and safety teams identify AI-generated video, manipulated audio, and synthetic media in user uploads.
Video Verification for Journalism
Screen video sources for deepfakes and synthetic manipulation before publication. Kinexis helps journalists verify authenticity and identify behavioral patterns in video content.
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.