Trusted Vision AI
We build Vision AI that is globally trusted to solve some of the world’s biggest challenges.
Get in touch Trusted Vision AI
We build Vision AI that is globally trusted to solve some of the world’s biggest challenges.
Get in touch 
Face Recognition
Built for the most challenging applications, Paravision® face recognition consistently ranks among the top global performers in NIST Face Recognition Technology Evaluations, and is easy-to-deploy across major platforms — from cloud to edge.
Authentic Identity
AI tools, including liveness and deepfake detection, to support establishing trusted identity for customers, employees, or citizens in remote and digital environments.
Age Estimation
AI-powered age estimation for reliable, privacy-focused age verification, tailored for seamless onboarding and compliance in digital and in-person settings.
Our Trusted Vision AI software is:
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Accurate
Paravision products have been consistently top-ranked by leading benchmarks for accuracy at scale.
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Responsible
Firmly rooted in our AI Principles, our software is ethically built and conscientiously sold, and we’re steadfastly committed to doing business the right way.
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Flexible & scalable
Paravision AI software has been optimized for a range of compute environments from cloud to edge, and is offered in modular elements that can be deployed to suit operational needs.
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US-based
Paravision is proud to be a US-based leader in Vision AI. Whether in technical partnership, working through end-user challenges, or collaborating on market strategy, we strive to be dynamic, responsive, and focused on delivering excellence.
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Fast
Utilizing the most advanced AI frameworks and partnered with leading providers of hardware accelerators for AI and deep learning, Paravision delivers speed, scalability, and responsiveness while lowering operating costs.
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Secure
Our SDKs and Vision AI engines can be integrated into modern, secure infrastructure. We also build advanced solutions for identity-based security threats, like spoof attempts and deepfakes.
