ROC Secures #1 Global Ranking in Latent Fingerprint Search Speed, Delivers Major Rank-1 Accuracy Wins Across Key FBI and DoD Datasets in NIST ELFT

Rank One Computing Corporation d/b/a ROC, (Nasdaq: ROC) (“ROC” or the “Company”), a U.S. leader in Vision AI, building unified biometric, video analytics, and decision intelligence solutions, announces its latest technical achievement demonstrating the fastest latent fingerprint search speed along with multiple Rank-1 accuracy wins in the NIST Evaluation of Latent Fingerprint Technologies (ELFT) across key datasets utilized by the FBI and U.S. Department of Defense (DoD).

This recognition reinforces ROC’s American-made technology as a category leader in speed, accuracy, and efficiency, when evaluated against the benchmark consisting of 22 total vendors.

Additionally, ROC’s performance amplifies the scale and operational readiness the Company delivers as a trusted domestic ABIS alternative to legacy foreign biometric technology.

Notable NIST ELFT accuracy results include a #1 global Rank-1 accuracy on the Extended Feature Set (EFS) subset of the FBI-Provided Solved Dataset, a tie for #1 among Western providers in Rank-1 accuracy on the FBI Laboratory Dataset, and error-rate improvements of up to 2x across evaluated FBI and DoD benchmark conditions.

“Latent fingerprint recognition is one of the most technically challenging evaluations in biometrics, due to distorted or partial evidence utilized in analysis against sizable identity databases.

These latest NIST ELFT results show that ROC is delivering the speed, accuracy, and scalability the FBI and DoD, our country’s most critical agencies, need to move investigations forward faster.

They also reinforce a broader point: American-made biometrics can lead globally in the technologies that support public safety, national security, and the critical identity infrastructure America depends on,” said ROC CEO B. Scott Swann.

ROC’s technical excellence is reflected by earning its position as the fastest latent fingerprint algorithm in the NIST ELFT.

ROC’s score was approximately 64x faster than the mean of the top five vendors evaluated in the benchmark across the FBI and DoD investigative datasets.

Importantly, when evaluated against this same benchmark cohort and dataset, ROC delivered this impressive speed while retaining top-tier accuracy in False Negative Identification Rate (FNIR) at Rank-1.

This third-party support presents compelling results for agencies to consider, proving they do not have to choose between faster searches and stronger candidate returns, or between operational efficiency and investigative performance.

With consistent technical execution across real-world investigations by high-stakes government agencies, ROC is well-positioned to assume its role as the trusted domestic technology building critical identity infrastructure.

ROC believes the combination of high accuracy and top search speed strengthens both the operational and economic rationale for large-scale deployments.

ROC designs its algorithms for efficiency, offering solutions that reduce processing requirements, improve system throughput, and support a lower total cost of ownership.

This aligns with government agencies, national security, and law enforcement’s objectives to expand their use of technical applications and modernize biometric infrastructure as they evaluate next-generation...