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Micropolis Robotics Unveils New Industrial-Grade, IP67-Rated Computing Module Powered by NVIDIA for Advanced AI Processing of its Robots

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Micropolis (NYSE:MCRP) announced an industrial-grade, IP67-rated Edge Computing Unit powered by NVIDIA Orin SOC for on-device AI processing on its Microspot platform on November 18, 2025. The ECU offers secure, low-latency edge AI for real-time autonomy and mission management without cloud dependence.

Key features include IP67 enclosure, industrial Ethernet, multiple memory configurations (8 GB, 16 GB, 32 GB, 64 GB), and deployment across Micropolis M01/M02 robot platforms and stationary nodes for perimeter, infrastructure, border control, and law enforcement applications. Units can operate as a distributed edge network to share intelligence across robots and sensors.

Micropolis (NYSE:MCRP) ha annunciato una Unità Edge Computing industriale con grado IP67 alimentata da NVIDIA Orin SOC per l'elaborazione AI on-device sulla sua piattaforma Microspot il 18 novembre 2025. L'ECU offre AI edge sicura e a bassa latenza per autonomia in tempo reale e gestione delle missioni senza dipendenza dal cloud.

Le caratteristiche chiave includono involucro IP67, Ethernet industriale, diverse configurazioni di memoria (8 GB, 16 GB, 32 GB, 64 GB) e impiego su piattaforme robotiche Micropolis M01/M02 e nodi fissi per applicazioni di perimetro, infrastruttura, controllo di frontiera e forze dell'ordine. Le unità possono operare come una rete edge distribuita per condividere intelligenza tra robot e sensori.

Micropolis (NYSE:MCRP) anunció una Unidad de Edge Computing industrial con grado IP67 impulsada por NVIDIA Orin SOC para procesamiento de IA en el dispositivo en su plataforma Microspot el 18 de noviembre de 2025. La ECU ofrece AI edge seguro y de baja latencia para autonomía en tiempo real y gestión de misiones sin dependencia de la nube.

Las características clave incluyen carcasa IP67, Ethernet industrial, múltiples configuraciones de memoria (8 GB, 16 GB, 32 GB, 64 GB) y despliegue en plataformas robóticas Micropolis M01/M02 y nodos estacionarios para aplicaciones de perímetro, infraestructura, control fronterizo y aplicación de la ley. Las unidades pueden operar como una red edge distribuida para compartir inteligencia entre robots y sensores.

마이크로폴리스(Micropolis, NYSE:MCRP)는 2025년 11월 18일 Microspot 플랫폼에서 온-디바이스 AI 처리를 위한 NVIDIA Orin SOC로 구동되는 산업용 IP67 등급의 Edge Computing Unit을 발표했습니다. ECU는 클라우드 의존 없이 실시간 자율성 및 임무 관리를 위한 보안적이고 저지연의 엣지 AI를 제공합니다.

주요 기능으로 IP67 인클로저, 산업용 이더넷, 8 GB, 16 GB, 32 GB, 64 GB의 여러 메모리 구성, Micropolis M01/M02 로봇 플랫폼 및 경계, 인프라, 국경 관리, 법 집행 응용 분야용 고정 노드에서의 배포가 포함됩니다. 이 단위들은 로봇과 센서 간의 인텔리전스를 공유하기 위해 분산 엣지 네트워크로 작동할 수 있습니다.

Micropolis (NYSE:MCRP) a annoncé une Unité Edge Computing industrielle classée IP67 alimentée par NVIDIA Orin SOC pour le traitement AI en périphérie sur appareil sur sa plateforme Microspot le 18 novembre 2025. L'ECU offre une IA edge sécurisée et à faible latence pour l'autonomie en temps réel et la gestion de mission sans dépendance au cloud.

Les caractéristiques clés incluent un boîtier IP67, Ethernet industriel, plusieurs configurations de mémoire (8 Go, 16 Go, 32 Go, 64 Go) et un déploiement sur les plateformes robotiques Micropolis M01/M02 et des nœuds fixes pour des applications de périmètre, d'infrastructure, de contrôle des frontières et de maintien de l'ordre. Les unités peuvent fonctionner comme un réseau edge réparti pour partager l'intelligence entre robots et capteurs.

Micropolis (NYSE:MCRP) kündigte eine Industrie-Edge-Computing-Einheit mit IP67 an, betrieben von NVIDIA Orin SOC für On-Device-KI-Verarbeitung auf seiner Microspot-Plattform am 18. November 2025. Die ECU bietet sichere, latenzarme Edge-KI für Echtzeit-Autonomie und Missionsmanagement ohne Cloud-Abhängigkeit.

Zu den Hauptmerkmalen gehören IP67-Gehäuse, industrielle Ethernet, mehrere Speicherkonfigurationen (8 GB, 16 GB, 32 GB, 64 GB) und der Einsatz auf Micropolis M01/M02 Roboterplattformen sowie stationären Knoten für Perimeter-, Infrastruktur-, Grenz- und Strafverfolgungsanwendungen. Eine Einheit kann als verteiltes Edge-Netzwerk arbeiten, um Intelligenz zwischen Robotern und Sensoren zu teilen.

شركة Micropolis (NYSE:MCRP) أعلنت عن وحدة حوسبة حافة صناعية مصنفة IP67 مدعومة من NVIDIA Orin SOC لمعالجة الذكاء الاصطناعي على الجهاز على منصتها Microspot في 18 نوفمبر 2025. توفر وحدة ECU ذكاء اصطناعي حافة آمن منخفض التأخير للسيطرة في الوقت الفعلي والإدارة المهمة دون الاعتماد على السحابة.

تشمل المزايا الرئيسية علبة IP67، إيثرنت صناعي، عدة تكوينات للذاكرة (8 جيجابايت، 16 جيجابايت، 32 جيجابايت، 64 جيجابايت)، ونشرها عبر منصات روبوت Micropolis M01/M02 وعناصر ثابتة لتطبيقات المحيط والبنية التحتية ومراقبة الحدود وتنفيذ القانون. يمكن للوحدات العمل كشبكة حافة موزعة لتبادل المعلومات بين الروبوتات وأجهزة الاستشعار.

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Micropolis launched an IP67 NVIDIA Orin-powered edge compute unit to run low-latency AI on-site for security and autonomy.

Micropolis integrates an NVIDIA Orin SoC into an IP67-rated Edge Computing Unit to run computer vision, object detection, behavior analysis, and mission-planning directly on its Microspot platform. The unit supports multiple memory configurations (8 GB, 16 GB, 32 GB, 64 GB) and offers industrial Ethernet and rugged packaging to enable continuous, low-latency inference in harsh outdoor settings. On-device processing reduces dependency on remote cloud links and supports distributed edge networks for coordinated robot and sensor operation.

Key dependencies and risks include deployment scale, field integration with the M01 and M02 platforms, and the robustness of models running on the specified memory tiers. Performance will vary by model size and workload; higher-memory variants will handle larger models and more simultaneous streams. Security, maintenance, and lifecycle update processes will determine long-term operational resilience.

Watch for product qualification milestones and field deployments across perimeter security, border control, and law‑enforcement use cases over the next 6–18 months, and compare real-world latency and model-support claims across the offered Nov. 18, 2025 configurations.

High-performance, low-latency AI processing will be installed directly on Microspot, Micropolis’ proprietary real-time surveillance, behavior-analysis, and mission-management platform

Micropolis has been a member of the NVIDIA Inception Program since 2022

DUBAI, United Arab Emirates, Nov. 18, 2025 (GLOBE NEWSWIRE) -- Micropolis Holding Co. (“Micropolis” or the “Company”) (NYSE: MCRP), a leading UAE-based developer of autonomous mobile robots and AI-driven security solutions, announced the launch of a new industrial-grade, IP67-rated Edge Computing Unit (“ECU”) powered by NVIDIA Orin SOC. The ECU delivers high-performance, low-latency Artificial Intelligence (“AI”) processing directly on Microspot, Micropolis’ proprietary real-time surveillance, behavior-analysis, and mission-management platform.

A member of the NVIDIA Inception Program since 2022, Micropolis Robotics continues to integrate advanced AI acceleration technologies to strengthen the performance and reliability of its autonomous systems deployed across mission-critical environments.

Built for durability and field readiness, the new Edge Computing Unit features:

  • IP67-rated enclosure for harsh outdoor environments
  • Industrial-grade Ethernet and connectivity for high-speed data flow
  • NVIDIA Orin GPU computing for intensive edge AI workloads
  • Secure, low-latency processing supporting real-time autonomy
  • Secure, low-latency, on-device processing for real-time autonomous operations Multiple performance configurations offered to clients in 8 GB, 16 GB, 32 GB, and 64 GB options to match diverse operational requirements

Designed for law enforcement AI applications, border control missions, and national security operations, the unit enables Micropolis robots—and fixed installations—to execute advanced computer vision, object detection, behavior analysis, suspect profiling, and mission-planning tasks without relying on cloud connectivity.

The units can also operate together as a distributed edge network, coordinating with Micropolis’s autonomous surveillance robots to enhance situational awareness across large areas and remote regions. This distributed computing capability allows multiple robots and sensors to share intelligence, improving response time, accuracy, and overall operational resilience.

“Robotics and AI must work reliably in every environment, from cities to borders,” said Fareed Aljawhari, CEO of Micropolis Robotics. “By integrating NVIDIA Orin SOC into our IP67-rated Edge Computing Units, we ensure that Microspot can process complex AI models instantly and securely on-site. This enables real-time decision-making for law enforcement, border control, and other critical operations where reliability cannot be compromised. We remain committed to advancing autonomous systems, AI safety, and edge computing technologies.”

The Edge Computing Unit will be deployed across Micropolis’s M01 and M02 platforms as well as stationary AI nodes supporting perimeter security, infrastructure surveillance, off-road autonomy, and advanced mission automation.

About Micropolis Holding Co.

Micropolis is a UAE-based company specializing in the design, development, and manufacturing of unmanned ground vehicles (UGVs), AI systems, and smart infrastructure for urban, security, and industrial applications. The Company’s vertically integrated capabilities cover everything from mechatronics and embedded systems to AI software and high-level autonomy.
For more information please visit www.micropolis.ai.

Forward-Looking Statements

This press release contains “forward-looking statements” within the meaning of the “safe harbor” provisions of the Private Securities Litigation Reform Act of 1995You can identify forward-looking statements by the fact that they do not relate strictly to historical or current facts. These statements may include words such as “anticipate”, “estimate”, “expect”, “project”, “plan”, “intend”, “believe”, “may”, “will”, “should”, “can have”, “likely” and other words and terms of similar meaning. Forward-looking statements represent Micropolis’ current expectations regarding future events and are subject to known and unknown risks and uncertainties that could cause actual results to differ materially from those implied by the forward-looking statements. These statements are subject to uncertainties and risks including, but not limited to, the uncertainties related to market conditions and other factors discussed in the “Risk Factors” section of the registration statement filed by the Company with the SEC. For these reasons, among others, investors are cautioned not to place undue reliance upon any forward-looking statements in this press release. Additional factors are discussed in the Company's filings with the SEC, which are available for review at www.sec.gov. The Company undertakes no obligation to publicly revise these forward-looking statements to reflect events or circumstances that arise after the date hereof.

Investor Contact:
KCSA Strategic Communications
Valter Pinto, Managing Director
PH: (212) 896-1254
Micropolis@KCSA.com

Media Contact:
Jessica Starman
media@elev8newmedia.com


FAQ

What is Micropolis' new Edge Computing Unit announced November 18, 2025 (MCRP)?

An industrial-grade, IP67-rated Edge Computing Unit using NVIDIA Orin SOC for on-device, low-latency AI on the Microspot platform.

Which Micropolis platforms will use the new ECU (MCRP)?

The ECU will be deployed across Micropolis M01 and M02 robot platforms and as stationary AI nodes for perimeter and infrastructure surveillance.

What memory configurations does the Micropolis ECU offer (MCRP)?

Performance configurations include 8 GB, 16 GB, 32 GB, and 64 GB options to match different operational requirements.

What environments and missions is the Micropolis ECU built for (MCRP)?

The unit is built for harsh outdoor conditions (IP67) and designed for law enforcement, border control, national security, perimeter security, and off-road autonomy.

Does the Micropolis ECU require cloud connectivity for advanced AI tasks (MCRP)?

No; the ECU enables secure, on-device processing so robots and fixed installations can run computer vision and behavior analysis without relying on cloud connectivity.

How does the Micropolis ECU improve multi-robot operations (MCRP)?

Units can operate as a distributed edge network, allowing multiple robots and sensors to share intelligence to improve situational awareness and response times.
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