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Omnigarde Emerges as #2 U.S. Developer for Dual-Iris Accuracy in Global NIST IREX 10 Benchmark
S For Story/10686666
ORANGE COUNTY, Calif. - s4story -- Omnigarde LLC, a rising American leader in high-performance biometric identity, today announced a landmark achievement in the National Institute of Standards and Technology (NIST) IREX 10 1:N (Identification) evaluation. In the latest benchmark results, Omnigarde's debut SDK submission (omnigarde_000) secured the #2 ranking among all U.S.-based developers for Dual-Iris (Two-Eye) accuracy, cementing its position as a premier global provider of mission-critical biometric technology.
The NIST IREX 10 is the world's most rigorous independent evaluation for iris biometric recognition. Tested against a massive sequestered dataset of 500,000 records, Omnigarde's submission excelled in the Dual-Iris Identification track—the industry's "gold standard" for accuracy. According to the NIST results updated on February 27, 2026, Omnigarde_000 achieved the following elite rankings:
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About Omnigarde LLC
Omnigarde is a leading biometric core technology provider specializing in AI-driven multimodal recognition. Founded on March 22, 2021, Omnigarde is a Southern California-based startup dedicated to advancing the frontier of Artificial Intelligence in biometrics. In just five years, the company has established a formidable track record, with its face, fingerprint, iris, and voice recognition technologies consistently achieving top-tier results in renowned benchmarks, including NIST FRTE (1:1 and 1:N), MINEX III, and PFT III.
Omnigarde's vision is to enhance global quality of life by providing core biometric technologies that make identity verification easier, faster, and more secure.
About the IREX 10 Benchmark
The IREX 10: Identification Track assesses iris recognition performance for one-to-many (1:N) applications, such as border security, prison management, and expedited passenger processing. Administered at the NIST Image Group's Biometrics Research Lab (BRL), the ongoing evaluation allows developers to submit optimized software every four months for testing against sequestered datasets.
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The NIST IREX 10 is the world's most rigorous independent evaluation for iris biometric recognition. Tested against a massive sequestered dataset of 500,000 records, Omnigarde's submission excelled in the Dual-Iris Identification track—the industry's "gold standard" for accuracy. According to the NIST results updated on February 27, 2026, Omnigarde_000 achieved the following elite rankings:
- #2 Ranking in the U.S.: Secured the second-place domestic spot for both DET (Detection Error Trade-off) and Rank-1 Accuracy.
- Top 10 Globally: Ranked #6 worldwide for Rank-1 Accuracy and #8 worldwide for DET Accuracy among 32 international developers.
- Operational Efficiency: Delivered elite dual-eye precision with a rapid 1.61-second search time, outperforming several higher-ranked international competitors in real-world processing speed.
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About Omnigarde LLC
Omnigarde is a leading biometric core technology provider specializing in AI-driven multimodal recognition. Founded on March 22, 2021, Omnigarde is a Southern California-based startup dedicated to advancing the frontier of Artificial Intelligence in biometrics. In just five years, the company has established a formidable track record, with its face, fingerprint, iris, and voice recognition technologies consistently achieving top-tier results in renowned benchmarks, including NIST FRTE (1:1 and 1:N), MINEX III, and PFT III.
Omnigarde's vision is to enhance global quality of life by providing core biometric technologies that make identity verification easier, faster, and more secure.
About the IREX 10 Benchmark
The IREX 10: Identification Track assesses iris recognition performance for one-to-many (1:N) applications, such as border security, prison management, and expedited passenger processing. Administered at the NIST Image Group's Biometrics Research Lab (BRL), the ongoing evaluation allows developers to submit optimized software every four months for testing against sequestered datasets.
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Source: Omnigarde LLC
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