Play and analyze videos from any number of online video services before you download them.
Upload any video to your MoverisMedia account and instantly validate its authenticity.
Human Signal Intelligence employs science-based techniques to distinguish real humans from fakes.

You can now have confidence that the news reels, executive recorded messages, and other videos you see are made with real humans actors.
Deepfake technology is getting so sophisticated that it's often hard to tell if videos from celebrities, CEOs, or even friends and family members are real. Beat the fakes with MoverisMedia.




From deepfakes targeting teens and families, to employees watching purported company videos, fake videos come from many directions. MoverisMedia is like a digital airbag to protect your family and your organization from false images and the spread of disinformation.
Gain invaluable predictive analytics and actionable insights, empowering your team to make data-driven decisions and close deal.
How does Moveris ensure privacy and compliance (GDPR, CCPA, etc.)?
Privacy is fundamental to our architecture. We employ data minimization principles—our system extracts anonymized physiological signal data that cannot be reconstructed into personally identifiable information, without storing raw video or audio by default. All processing can be configured for on-premise deployment or region-specific servers to meet GDPR, CCPA, HIPAA, and other regulatory requirements. We maintain SOC 2 Type II compliance and can provide detailed compliance documentation upon request.
How do you address bias in measurement?
We proactively test our models across diverse demographic groups, age ranges, and environmental conditions to minimize bias. Because our approach analyzes dynamic psychophysiological signals—real-time indicators of human presence—rather than static features like facial structure, it is inherently less vulnerable to the racial and gender biases common in traditional facial recognition systems. We conduct ongoing bias audits with third-party validation and continuously update our models to maintain fairness across all populations.
Does Moveris store or share user data?
We never share, sell, or monetize personal data. Clients maintain full control over data retention policies and can configure the system for zero data storage if preferred. When retention is required for compliance purposes, all data is encrypted end-to-end with AES-256 encryption, and only derived, de-identified metrics are used for analysis. Our zero-trust architecture ensures data remains within your designated geographic boundaries.
How easy is integration with our existing systems?
Integration is designed for minimal disruption. Our RESTful API can be implemented into existing workflows—including onboarding, KYC, identity verification, or access control—typically within 2-4 weeks without requiring new hardware or significant infrastructure changes. Many clients deploy Moveris as a drop-in replacement for existing verification screens. We provide comprehensive documentation, SDKs for major platforms, and dedicated integration support throughout the process.
How does the system handle scale and high-volume processing?
Our cloud-native architecture scales elastically to handle anywhere from dozens to millions of daily verifications. The system auto-scales based on demand with sub-100ms response times maintained even under peak loads. For enterprise deployments, we offer dedicated processing clusters and can guarantee specific SLA performance levels. Our distributed processing approach ensures no single point of failure while maintaining consistent accuracy at any scale.
What are the technical requirements and limitations?
Moveris works with standard webcams and mobile device cameras (minimum 720p resolution recommended). The system performs optimally with stable internet connections and processing requires 2-5 seconds per verification. Our lightweight client-side components have minimal impact on device performance and work across all major browsers and mobile platforms.
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