$4.09 +0.04 (+0.99%) Closing price 10/2/2026 04:00 PM Eastern
Extended Trading
$4.11 +0.02 (+0.37%) As of 10/2/2026 07:30 PM Eastern
Extended trading is trading that happens on electronic markets outside of regular trading hours. This is a fair market value extended hours price provided by Massive. Learn more. ROC is an independent American artificial intelligence company redefining the global standard for Vision AI in identity, security, and digital forensics. Our Vision AI platform delivers real-time facial recognition, multimodal biometric verification, video analytics, and AI-powered evidence analysis to mission-critical organizations across both private and public sectors. ROC’s biometric algorithms are routinely ranked by the National Institute of Standards and Technology (“NIST”) as among the most accurate and computationally efficient globally. Our solutions outperform legacy foreign-built systems at a fraction of the cost, with faster deployment and stronger trust. As demand for trusted AI accelerates across law enforcement, defense, and regulated commercial sectors, ROC is scaling rapidly through a growing network of integrators and multi-year deals. We are expanding from a foundation of government leadership into high-growth commercial markets such as access control, physical security, and identity verification. Our international pipeline spans the Middle East, Asia–Pacific (“APAC”), and other strategic regions where national AI and identity investments are surging. With sovereign U.S. development, deep technical leadership, a vertically integrated platform, and proven field results, we believe ROC is positioned to become the category-defining leader in operational Vision AI. ROC builds AI that sees, identifies, and interprets the physical world. Our focus is on biometric identity, digital forensics, and real-time video analytics. In a market long dominated by foreign-built legacy platforms, ROC is executing a clear mission: to restore the United States as the global leader in Vision AI. We are displacing outdated, overpriced, foreign systems with American-built solutions that are leaner, more efficient, and more affordable. We believe ROC platforms routinely cost a fraction of legacy alternatives, yet deliver higher accuracy, faster deployment, and superior customer support — all while sustaining strong margins. This operational advantage is rooted in our disciplined model: we’ve never taken outside capital, and we build everything with purpose and precision. ROC uses the term “Vision AI” as a branch of artificial intelligence focused on transforming unstructured visual data into structured, explainable insight. Vision AI is not generative or conversational. It is operational AI, built for accuracy, speed, and auditability. Whether it is deployed in a military checkpoint, a digital evidence lab, or a financial onboarding workflow, Vision AI enables real-time decisions with transparency and accountability. ROC’s algorithmic efficiency has long been a strategic advantage. Our AI models typically require only a fraction of the compute power that legacy platforms demand, allowing us to deploy faster, operate leaner, and scale without excess infrastructure. For example, an analysis published on February 20, 2024 of the National Institute of Standards and Technology (NIST) Evaluation of Latent Fingerprint Technologies (ELFT) showed that the ROC’s latent fingerprint algorithm was capable of searching a database more than 500 times faster than every other vendor who was benchmarked. Additionally, an analysis on March 8, 2023 of the NIST Face Recognition Vendor Test (FRVT) showed that the ROC face recognition algorithm ranked 61st out of 338 algorithms in hardware efficiency, while none of our key competitors ranked within the top 150 most efficient algorithms. Further, an analysis performed on February 15, 2023 of the NIST Proprietary Fingerprint Template (PFT) benchmarked that the ROC fingerprint algorithms had template comparison speeds that were the fastest of any vendor, and as much as 1000x faster than certain key competitors. This advantage has enabled us to simplify system architecture while supporting extremely large deployments through our horizontally and vertically scalable enterprise search infrastructure. ROC is routinely measured by NIST as having the most accurate and computationally efficient facial and fingerprint recognition algorithms in the world — a rare combination that enables both unmatched performance and flexible deployment. We support secure, air-gapped installations as well as cloud-native delivery, and are actively attaining Criminal Justice Information Services (“CJIS”) and related compliance standards to support our growing federal and state customer base. Our engineering team includes experts who have built mission-critical systems for the Federal Bureau of Investigation (the “FBI”) and other agencies, ensuring our platforms are secure, interoperable, and optimized for rapid integration through exposed Application Programming Interfaces (“APIs”) and robust reference applications. ROC’s mission and leadership emerged from the U.S. national security community. Prior to creating ROC, our founders, Brendan Klare and Joshua Klontz, worked within the facial recognition research group at Noblis, Inc., which is a science and technology services provider to leading U.S. national security agencies. Our founders’ work included supporting a major case study for the FBI, regarding the deployment of facial recognition technology during the course of the 2013 Boston Marathon Bombing investigation. Our CEO, B. Scott Swann, served an 18-year career with the FBI, where he fulfilled multiple executive roles, advancing technology to include Special Assistant in the FBI Director’s Office for the Science and Technology Executive Assistant Director; Executive Officer in the Office of the Director of National Intelligence; and Unit Chief at the FBI’s Criminal Justice Information Services Division. Mr. Swann led the FBI’s major case study on the Boston Marathon Bombing, through which he first met and worked with Mr. Klare and Mr. Klontz. Mr. Swann worked closely with the FBI’s CJIS division, the FBI’s central repository and search database for fingerprints and other biometric evidence. As outlined in the chart below, our growth now includes global financial companies, state and local public safety organizations, and large retail enterprises. We are rapidly expanding in access control, identity verification, and physical security applications — particularly in high-assurance and infrastructure-critical sectors. Our commercial business is scaling through an already mature channel network, and we are seeing increasing demand from global integrators who want to deliver ROC’s technology under their own brands. Our international pipeline is significant, with especially strong momentum in the Middle East and APAC regions, where governments are investing in next-generation identity and surveillance systems. These global opportunities are already driving business today and represent a substantial long-term growth vector. For the Nine months For the For the ended Year ended Year ended September December December 30, 2025 31, 2024 31, 2023 Number of customers 66 61 59 Percent of revenue for each major product -ROC SDK 32 % 43 % 33 % -ROC Watch 37 % 10 % 6 % -ROC ABIS 2 % 3 % Percent of revenue for each principal market -National Security 68 % 66 % 73 % -Fintech 17 % 22 % 15 % -Public Safety 13 % 10 % 9 % -Commercial Security and Engagement 2 % 2 % 1 % -Other 2 % Percent of revenue from the federal government and government agencies 81 % 76 % 82 % On November 19, 2019, ROC published a Code of Ethics (the “Code of Ethics”) that addressed the use of our face recognition technology. To our knowledge, ROC was the first biometric vendor to adopt such code of ethics addressing the use of face recognition technology. Subsequently, ROC has incorporated the Code of Ethics into our software licensing agreements to provide a contractual means for limiting access to our technology if a licensee violates the Code of Ethics. From the beginning, we believed that transparency, accountability, and technical rigor must go hand in hand. We build with fairness and explainability in mind and design for environments where decisions must be auditable and justifiable. That said, the broader landscape is also shifting. Adoption of face recognition and Vision AI tools is accelerating across law enforcement, defense, and critical infrastructure. Agencies that once hesitated are now embracing these capabilities — supported by clearer governance, better training, and stronger results. This growing acceptance comes at an ideal time for ROC. We are entering the public markets as demand is breaking open, not just for AI, but for trusted, operationally proven AI. ROC has been deliberately built from the ground up. Every employee has been carefully selected not just for skill but for alignment with our mission. Our team combines rising stars in artificial intelligence and Vision AI with senior engineers and practitioners who have delivered large-scale systems for the U.S. government and enterprise. We believe in talent density, small teams, and high-trust environments. Every contributor matters, and every contributor has a stake in ROC’s equity. This model has not only helped us outperform technically — it has helped us retain culture, focus, and resilience while competing against far larger and better-funded companies. Our principal executive office is located in Denver, CO.
