ROC Ranks as #1 American Facial Recognition Provider in NIST FRTE, Achieving Top Global Marks for Accuracy and Speed

DENVER, Sept. 25, 2025 /PRNewswire/ -- ROC, the American-made multimodal biometrics and Vision AI provider, today announced its latest face recognition algorithm is one of the most accurate and consistent in the world, according to the latest NIST Face Recognition Vendor Test (FRTE). The results solidify ROC's position as the leading U.S. solution for mission-critical identity verification, ranking as the top Western vendor across multiple benchmarks for accuracy in border security, investigative search, and high-throughput identification.

"NIST FRTE is the most rigorous and respected global benchmark for face recognition. This achievement reflects more than a decade of focused research and development here in the United States," said Dr. Brendan Klare, Chief Scientist and Co-Founder, ROC. "What sets this algorithm apart is its consistency. It performs at the highest level across verification, identification, and investigative search. This consistency is what makes it among the world's best, and why our partners trust ROC for their missions."

ROC's algorithm delivered top-tier performance across key NIST FRTE benchmarks:

• #1 Western Vendor for Investigative Search (1:N): ROC achieved the highest accuracy among Western vendors in matching immigration and traveler kiosk photos against a 1.6 million-person database, a critical test for national security and law enforcement.
• #1 Western Vendor for Visa-Border Verification (1:1): Ranking #3 globally, ROC demonstrated superior accuracy in verifying identities by matching live border photos against visa and previous border images, essential for secure travel.
• #2 Western Provider for Identification (1:N): ROC delivered exceptional performance on challenging off-pose images and recorded the fastest search speeds, searching a 12-million-person database in just 1.45 seconds on modest hardware.

"Our NIST performance isn't just about a breakthrough algorithm, it's a testament to our unique development process," added Keyur Patel, Director of Machine Learning, ROC. "ROC algorithms are built on a foundation of decades of facial recognition expertise, continually advanced with the latest in AI research and optimization. That's how we deliver solutions that perform with high accuracy across every scenario, from one-to-one verification to large-scale investigative searches."

These rankings confirm ROC's position as one of the most robust and reliable Western providers in facial recognition and biometrics, highlighting the company's commitment to providing trusted, high-performing, and U.S.-made identity verification solutions for defense, public safety, and digital trust applications.

For a detailed analysis of NIST FRTE results, please visit the ROC blog: ROC is #1 American Vendor in NIST FRTE, Ranking Among the World's Most Accurate Face Recognition Algorithms

About NIST FRTE
The NIST Face Recognition Technology Evaluation (FRTE) is the national benchmark for face recognition systems. It evaluates algorithms in identity verification scenarios, such as 1:1 matching and 1:N identification, under realistic operating conditions using large controlled datasets. It evolved from the earlier Face Recognition Vendor Test (FRVT) to better reflect today's technology landscape and includes a broader range of face identity evaluation tracks. By publishing detailed leaderboards and reports, NIST provides organizations and integrators with transparent, objective data to guide the responsible deployment of face recognition technology.

About ROC
ROC is the only American-made multimodal biometrics and Vision AI provider, trusted by the U.S. military, law enforcement, and leading global FinTech brands. Their fully multimodal solutions leverage NIST-ranked face, fingerprint, and iris algorithms to enable fast, accurate, and secure identity verification for a range of applications including national ID, ABIS, tactical video analytics, digital payments, and more. For more information, visit www.roc.ai

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SOURCE ROC