Sensity AI

Sensity AI is a specialist Video AI company founded to address the rise of deepfakes and synthetic media. Originating from academic and industry research on visual forensics, Sensity positions itself as a detection-first vendor that surfaces manipulated faces, synthetic voice-visual inconsistencies, and altered videos at scale. The product is built around a web dashboard, a REST API, and monitoring tools that let organizations ingest URLs, upload media, or connect streams for automated scanning. Its core value proposition is reducing time-to-detection for malicious or misleading video content, with provenance signals and model-confidence scores attached to each flagged item.

Under the hood Sensity provides several concrete detection features. The platform includes face and manipulation detection that flags synthetic or altered faces and returns per-face confidence scores and heuristics; a video-level tampering score that aggregates frame-level artifacts across codecs and compression artifacts; and batch scanning to analyze multiple URLs or uploads at once (customers can queue hundreds to thousands of assets). Sensity also exposes a JSON-based API response including bounding boxes, timestamps of suspected frames, and model-version metadata so teams can triage results programmatically. The dashboard supports exportable reports and a case-management flow for human review, plus integrations for webhook alerts.

Sensity offers a demo and limited free access for testing, with paid plans for higher-volume API calls and enterprise features. As of the latest published pricing, there is a free evaluation/demo with constraints on monthly scans; paid tiers move to metered API pricing and custom enterprise contracts — contacting sales is required for SLAs and large-volume packages. Paid plans unlock higher monthly scan quotas, priority model updates, and single-tenant or dedicated support for compliance-heavy deployments. Enterprise customers receive extended retention, custom integrations, and legal support for takedown workflows.

Typical users include trust & safety or moderation managers who use Sensity to scan platform uploads and reduce time-to-action, and investigative journalists who need to validate suspicious videos before publication. For example, a Platform Trust Manager uses Sensity to automatically scan 10,000 user-uploaded videos per month to flag manipulated content, while an Investigative Reporter uses it to verify the authenticity of a viral clip before publishing. Compared with general-purpose video tools, Sensity is detection- and forensics-focused rather than editing-focused; organizations seeking proactive deepfake detection often compare it with providers like Deepware or Amber Authenticate for accuracy and enterprise controls.