For Organizations
Detect synthetic content before it spreads
Platforms face an increasing volume of deepfakes, face-swaps, and AI-generated video in user uploads. Kinexis provides structured authenticity screening that trust and safety teams can integrate into existing moderation pipelines.
Screen uploads for synthetic manipulation
Integrate Kinexis into your content moderation pipeline to screen video uploads for deepfake indicators, synthetic audio, face manipulation, and other AI-generated artifacts. Each analysis returns structured signals with confidence levels, allowing your team to set thresholds and route flagged content for human review.
Scale with API and batch processing
The Kinexis enterprise API supports high-volume batch analysis with webhook delivery. Submit videos programmatically as they are uploaded, receive results asynchronously, and integrate directly with your moderation queue. Rate limits and priority processing are available for enterprise accounts.
Document enforcement decisions
Each Kinexis report provides specific indicators, confidence scores, and methodology notes that can support content moderation decisions. When users appeal enforcement actions, you have a documented analysis record with transparent reasoning rather than an opaque classifier output.
Related Use Cases
Content Authenticity for Media & Publishing
Verify user-generated content and screen for deepfakes at editorial scale. Kinexis helps newsrooms and publishers maintain content integrity with structured authenticity analysis.
Video Analysis for Financial Due Diligence
Analyze earnings calls, investor presentations, and executive communications for observable behavioral patterns. Structured reports for financial due diligence and compliance.
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.