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ROC Achieves #1 Global Identification Accuracy in NIST FRIF Fingerprint Evaluation for National ID and Border Control Applications; Solidifies Mission-Critical Technical Superiority

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Rank One Computing (Nasdaq: ROC) reported achieving #1 global identification accuracy in the NIST FRIF E1N evaluation for Class B slap fingerprints, a key metric for national ID and border control.

ROC is the first American company with top-tier results across all NIST FRIF accuracy benchmarks, supporting its position as a domestic alternative to foreign biometric providers.

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Positive

  • #1 global accuracy in NIST FRIF E1N Class B slap fingerprints
  • First American vendor with top-tier results across all NIST FRIF benchmarks
  • Returned the lowest Class B identification error rates in the evaluation
  • Achieved top False Negative Identification Rate (FNIR) accuracy at Rank-12

Negative

  • None.

News Market Reaction – ROC

-1.78%
2 alerts
-1.78% Session close to close
$101.99M Market Cap
0.4x Rel. Volume

In the May 27 session, ROC declined 1.78%, reflecting a mild negative market reaction. Our momentum scanner triggered 2 alerts that day, indicating moderate trading interest and price volatility.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement highlights independent NIST FRIF validation of ROC’s fingerprint algorithms, inclu...
Analysis

This announcement highlights independent NIST FRIF validation of ROC’s fingerprint algorithms, including a #1 global ranking in key Class B slap metrics and leading FNIR performance at Rank-12. Cross‑referenced with recent filings, the news contrasts strong technical positioning with earlier revenue pressure and higher operating expenses. Investors may focus on whether this benchmark win translates into federal and international ABIS contracts, helping to leverage ROC’s Vision AI platform and support its recurring software revenue model.

Key Figures

#1 global ranking: #1 Rank-12 FNIR benchmark: Rank-12 FRIF submission time: 4 months +5 more
8 metrics
#1 global ranking #1 Global identification accuracy in NIST FRIF for Class B slap fingerprints
Rank-12 FNIR benchmark Rank-12 False Negative Identification (FNIR) accuracy level in Class B metrics
FRIF submission time 4 months Time from strong first FRIF E1N submission to top-tier performance
Competitor history over a decade Duration competitors have been submitting against same NIST datasets
4-4-2 slap captures 4-4-2 Slap fingerprint capture configuration in Class B evaluation
Database scale millions of subjects Database size used in NIST FRIF open-set 1:N fingerprint evaluation
Price change 5.2% 24-hour price change on day of NIST FRIF announcement
52-week range $4.41–$11.24 52-week low and high for ROC before this news

Historical Context

5 past events · Latest: May 14 (Negative)
Pattern 5 events
Date Event Sentiment 24h Move Catalyst
May 14 Q1 2026 earnings Negative -4.6% Revenue decline and wider net loss following post-IPO investments.
May 11 Conference presentation Positive -0.6% LD Micro conference appearance and investor meetings announcement.
May 07 Earnings call notice Neutral +1.6% Scheduled Q1 2026 results release and conference call details.
May 05 Executive hire Positive -0.3% Appointment of EVP Sales & Marketing to scale ROC ABIS commercialization.
Apr 16 IPO and FY results Positive -1.9% Full-year 2025 growth metrics and completion of Nasdaq IPO.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

Recent news has often seen weak or negative price reactions, even to growth or strategic updates, with more divergence than alignment between news tone and next-day moves.

Recent Company History

Over the last several weeks, ROC has focused on post-IPO execution and Vision AI growth. The 2025 results and IPO news on Apr 16 highlighted revenue and product growth but saw a price decline. Subsequent updates on executive hiring, conference appearances, and Q1 2026 earnings showed mixed fundamentals and generally negative next-day reactions. Against this backdrop, the NIST FRIF technical leadership announcement adds a high-credibility validation of ROC’s biometric platform beyond the earlier financial and corporate milestones.

Key Terms

class b, false negative identification (fnir), 1:n, automated biometric identification systems
4 terms
class b technical
"#1 global ranking in Class B slap fingerprints, a critical measure"
A Class B designation usually identifies a specific type of share or ownership stake that differs from other classes (like Class A) in voting power, dividend rights, or transfer rules. For investors it matters because those differences affect control and how profits are shared—like two types of ticket holders at an event where one gets louder voting power or priority access, which can change a stock’s value and influence.
false negative identification (fnir) technical
"top accuracy for False Negative Identification (FNIR) at Rank-12"
A false negative identification (FNIR) happens when a test, screening system, or detection tool fails to recognize a condition or problem that is actually present — for example, a medical test missing an illness or a security scanner overlooking a threat. For investors this matters because higher false negatives can undermine a product’s safety and effectiveness, slow regulatory approval, reduce customer trust and adoption, and create legal or financial risk—like a smoke detector that doesn’t sound during a real fire.
1:n technical
"large-scale open-set 1:N fingerprint evaluation that tests core ABIS algorithms"
1:n is a one‑to‑n ratio that shows how units convert during corporate actions — for example, how many old shares become one new share or vice versa. Investors see it in stock splits, reverse splits, debt conversions or rights offerings; it tells you how holdings and per‑share price will be scaled without changing the company’s underlying value, like cutting a pizza into more slices or gluing several slices back together. Knowing the ratio helps estimate post‑action share count, ownership percentage and share price adjustments.
automated biometric identification systems technical
"standard for large-scale Automated Biometric Identification Systems (ABIS) used by governments"
Automated biometric identification systems are computer systems that use physical or behavioral traits—such as fingerprints, facial patterns, voice, or iris scans—to recognize or verify people without human intervention. Investors care because these systems can drive sales and efficiency for technology companies but also carry regulatory, privacy and security risks that can affect adoption, legal costs and a firm’s reputation; think of them as digital keys that can boost access but also create new liabilities.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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First American company to achieve top-tier results across every NIST FRIF accuracy benchmark, including #1 global ranking in Class B slap fingerprints, a critical measure in high-scale civil and government identity programs

Underscores ROC’s rigorous accuracy and precision as the top performing, trusted domestic ABIS alternative to legacy foreign biometric providers

DENVER, CO, May 27, 2026 (GLOBE NEWSWIRE) -- 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 technical achievement as the top tier performer across the full set of accuracy benchmarks in the NIST Friction Ridge Image and Features Technology Evaluation Exemplar One-to-Many (FRIF TE E1N). This recognition underscores ROC’s accuracy as a biometric vendor for Class B1 (4-4-2 Slap Fingerprints), positioning the company as the trusted domestic ABIS alternative to legacy foreign biometric technology. In terms of procurement decision measures, Class B is a heavily weighted metric for national ID systems and border control systems across global markets. These results validate the strength and accuracy of ROC’s technology and its market differentiation as the sole American-made provider.

“For years, the United States has maintained a dangerous overreliance on foreign AI for our most critical identity and biometric screening systems. Nearly every large-scale government deployment depends on overseas technology. ROC’s historic performance in the NIST fingerprint evaluation proves America now has a world-class domestic alternative — one that is more accurate, more efficient, and built here at home,” said B. Scott Swann, CEO of ROC.

“For decades, billions of dollars supporting critical U.S. identity infrastructure flowed overseas instead of strengthening America’s own industrial base. That changes today. National security systems should be powered by technology that is accurate, scalable, cost-effective, and aligned with American interests. We look forward to partnering with agencies across the FBI, DHS, and DoD to strengthen America’s technological independence and restore U.S. leadership in biometric and identity technologies,” concluded Mr. Swann.

ROC’s technical superiority is illustrated by returning the lowest error rate across a customary cohort of Class B identification error rate metrics. ROC also obtained top accuracy for False Negative Identification (FNIR) at Rank-12 for the same Class B identification error rate metrics. With compounding technical validation, ROC is establishing critical identity infrastructure built on its trusted domestic technology.

In practical use, ROC’s highly efficient, interoperable Vision AI platform is designed to simplify deployment and operations for high-stakes mission operators across law enforcement, homeland security, and civil ABIS environments. With advanced fingerprint recognition and broader multimodal biometric capabilities in one American-made platform, ROC believes it is poised to be the U.S. government’s choice application at scale to eliminate its reliance on foreign technology, reduce infrastructure complexity, and lower deployment costs.

“In just four months, ROC went from a strong first submission in FRIF E1N to the best in the world across substantial portions of the evaluation. This directly contrasts competitors who have been submitting against these same datasets for over a decade. The collaboration across our data engineering, research, and engineering teams during this sprint has been hard to overstate. This is only our second submission, and as a highly focused American biometrics company, ROC still has a lot of gas left in the tank for what comes next,” added Josh Engelsma, Principal Scientist at ROC.

NIST benchmarks are widely referenced in federal, defense, and international agency vendor evaluations. With its unified Vision AI platform, ROC addresses the escalating market demand for forward-thinking identification and intelligence solutions, strengthening both mission outcomes and business fundamentals. For customers, it delivers NIST-ranked biometric accuracy with reduced infrastructure complexity and total cost of ownership. For ROC, it supports a scalable software model with a durable recurring revenue profile and attractive margins.

The NIST FRIF E1N is widely regarded as one of the most comprehensive benchmarks in the biometrics industry. It establishes the standard for large-scale Automated Biometric Identification Systems (ABIS) used by governments and enterprises worldwide.

Read ROC’s Blog Post and Full NIST Scores here.

1Class B is the slap fingerprint category within NIST FRIF TE E1N, evaluating simultaneous multi-finger impressions from 4-4-2 captures, including left slap, right slap, combined left-and-right slap, and both thumbs.

2NIST FRIF TE E1N is a large-scale open-set 1:N fingerprint evaluation that tests core ABIS algorithms for feature extraction, template creation, and candidate search across databases of millions of subjects. Because it evaluates the algorithmic functions central to biometric identification, it is a key operational benchmark for national-scale ABIS systems.

About ROC

ROC is a leading U.S. developer and manufacturer of Vision AI, delivering sovereign biometrics, video analytics, and mission intelligence through a unified platform. This enables agency and integrator partners to unlock faster, more accurate, and cost-efficient capabilities. At its core, ROC transforms raw pixels into real-time operational awareness for defense, public safety, and digital commerce. The Company is headquartered in Denver, Colo., with additional hubs in Grand Rapids, Mich., and Morgantown, W.V. For more information, please visit the Company’s website: www.roc.ai.

Media inquiries:
Matt Aitken, VP of Marketing
media@roc.ai

Investor inquiries:
CORE IR
ir@roc.ai


FAQ

What NIST FRIF achievement did ROC (Nasdaq: ROC) announce on May 27, 2026?

ROC announced it achieved #1 global identification accuracy in the NIST FRIF E1N Class B slap fingerprint evaluation. According to ROC, this top ranking covers critical metrics used in national ID and border control procurement decisions worldwide.

Why is ROC’s #1 NIST FRIF Class B ranking important for national ID and border control?

The ranking matters because Class B slap fingerprints are heavily weighted in national ID and border control systems. According to ROC, this performance supports procurement decisions for high-scale civil and government identity programs using large Automated Biometric Identification Systems.

How does ROC describe its position versus foreign biometric providers after the NIST FRIF results?

ROC presents itself as a trusted domestic ABIS alternative to legacy foreign biometric technology. According to ROC, being the first American company with top-tier results across NIST FRIF benchmarks validates its American-made platform for federal, defense, and international agency use.

What technical metrics did ROC highlight from its NIST FRIF E1N evaluation performance?

ROC highlighted returning the lowest Class B identification error rates and top accuracy for False Negative Identification Rate at Rank-12. According to ROC, these metrics demonstrate its fingerprint algorithm’s strength in large-scale, open-set 1:N biometric identification scenarios.

How could ROC’s NIST FRIF performance influence its government and defense market opportunities?

ROC believes its NIST FRIF results position it as a strong choice for U.S. agencies like FBI, DHS, and DoD. According to ROC, the unified Vision AI platform can reduce infrastructure complexity, support large-scale deployments, and align with American national security interests.

What does ROC’s unified Vision AI platform offer beyond fingerprint recognition?

ROC’s platform combines advanced fingerprint recognition with broader multimodal biometric and video analytics capabilities. According to ROC, this interoperable system targets high-stakes mission environments, aiming to simplify deployment, reduce total cost of ownership, and support a scalable recurring software revenue model.