Implement liveness checks in minutes with copy-paste snippets. No bulky dependencies, just clean REST endpoints.
Our APIs power liveness detection, emotion recognition, and psychophysiology at scale. With millions of calls processed, we make human-centered intelligence easy to integrate and reliable in production.
Reliable endpoints, monitored and tested around the clock for consistent uptime.
Fast, scalable responses designed for real-time verification.
Security and compliance built into our infrastructure from day one.
Build liveness checks without breaking your user flow. Skip the heavy SDKs. Our low-code APIs drop straight into your stack with just a few lines of code.
Implement liveness checks in minutes with copy-paste snippets. No bulky dependencies, just clean REST endpoints.
Use the language you prefer—JavaScript, Python, or cURL—to integrate seamlessly into any workflow.
Moveris handles the complexity of liveness detection and human-signal processing, so you don’t have to.
From continuous model training to compliance and scalability, our APIs take care of the details behind accurate human verification.
Stay focused on your product roadmap. Just call the endpoint, get your results, and move on to building the features your users will love.
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?
Our RESTful APIs drop into your existing workflows—whether it’s onboarding, KYC, identity verification, or access control—without new hardware or major infrastructure changes.
We provide clean documentation, copy-paste code snippets in JavaScript, Python, and cURL.
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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