Product Engineering Healthcare IoT Company Resolves Latency in Patient Monitoring Client Background: The client is a healthcare IoT company specializing in advanced patient monitoring solutions widely used in hospitals, clinics, and homecare environments. Their systems track vital metrics such as heart rate, oxygen levels, and temperature, playing a critical role in ensuring patient safety and enabling timely medical decisions. As their customer base grew and data volumes surged, they faced significant challenges in maintaining system responsiveness and reliability. Challenges: The client's cloud-based architecture could not handle the increasing volume of real-time health data generated by their monitoring devices. Centralized data processing led to delays in transmitting critical information, causing latency issues that jeopardized the timely delivery of health alerts. This latency created risks in emergencies, such as irregular heart rhythms or sudden oxygen level drops, where immediate action was essential. Moreover, the inability to scale the system efficiently with growing data flow constrained their ability to expand services to new healthcare facilities. The client required a solution to process large volumes of data in real-time, eliminate latency, and ensure future scalability while maintaining security and performance standards. Our Solutions: To resolve the latency issues and ensure scalability, we implemented a tailored solution combining edge computing and distributed system architecture. Edge Computing Implementation: Edge devices were deployed to process and analyze data locally, reducing dependency on centralized cloud servers and minimizing delays in data transfer. Real-Time Data Flow Optimization: Redesigned data pipelines facilitated faster, more secure communication between devices and systems, ensuring uninterrupted real-time data transmission. Load Balancing Systems: Integrated load balancing distributed data processing tasks across edge and cloud nodes, preventing system overloads and maintaining consistent performance. Enhanced System Architecture: Upgraded infrastructure with a hybrid edge-cloud model enabled faster synchronization of data and long-term storage for advanced analytics. Scalability Enhancements: A modular architecture was designed to accommodate the client’s growth, enabling the system to handle increasing data volumes seamlessly. Outcomes: The implemented solution transformed the client’s patient monitoring systems, delivering notable improvements in performance, reliability, and scalability. Real-Time Health Alerts : Latency was eliminated, enabling the rapid delivery of critical health updates. This ensured that healthcare providers could act immediately in response to any concerning changes in patient conditions. Data Reliability : The upgraded system guaranteed accurate and timely processing of patient health metrics, building trust among medical professionals who relied on the data for decision-making. Operational Efficiency : By offloading significant processing tasks to the edge, server dependency was reduced, leading to better resource utilization and cost efficiency. Scalable Systems : The future-ready infrastructure allowed the client to expand their services seamlessly, accommodating new devices and users without compromising performance. Improved Patient Outcomes : Faster and more reliable patient monitoring empowered healthcare professionals to respond to emergencies promptly, enhancing the quality of care and saving lives.

Product Engineering Financial Firm Upgrades Legacy System for Growth and Scalability Client Background: The client, a financial company that specializes in wealth advisory, transactional, and investment management services. Operating for over 20 years, the firm relied on a legacy system that had become increasingly difficult to maintain and scale. Initially designed to manage financial transactions, reports, and client data, the system had grown obsolete with the firm’s expansion. The firm faced growing demands for real-time data processing, enhanced security, and the ability to integrate with emerging technologies. The need for a modernized infrastructure became critical to remain competitive in a quickly evolving industry. Challenges: Large technical debt, inadequate performance, and an inability to grow effectively were the main problems with the company's legacy system. Operating inefficiencies grew as the system was unable to keep up with the expanding demands of the company. This resulted in slower transaction processing, more frequent system outages, and trouble integrating new features. Security flaws caused potential compliance issues, and manual procedures resulted in high operational costs. The business required a thorough modernization plan that would satisfy modern industry requirements, support expansion, and preserve system stability. Our Solutions: We combined code refactoring with the integration of modern DevOps practices to manage the client’s technical debt. Code Refactoring: We systematically revamped the outdated codebase to improve performance and maintainability. The process included removing redundant code, optimizing workflows, and making the system modular to facilitate easier updates and improvements in the future. DevOps Integration: We introduced DevOps practices, including continuous integration and continuous delivery (CI/CD), to automate and streamline the development and deployment process. This significantly improved the efficiency of system updates and reduced human error. System Stabilization: We focused on addressing legacy bugs and performance bottlenecks to stabilize the system. Performance optimizations were implemented to improve response times and ensure reliability during high-traffic periods. Scalability: The system’s architecture was redesigned to support scalability. We adopted microservices, enabling the firm to easily scale infrastructure in response to growing transaction volumes without disrupting core services. Ongoing Maintenance: A continuous monitoring system was put in place to track system performance and proactively identify issues before they become critical. This approach ensured that the system remained stable and efficient over time. Team Collaboration: Throughout the modernization process, we fostered close collaboration between the client’s IT, operations, and business teams. This partnership helped align technical efforts with the firm’s broader strategic goals and produced faster decision-making and improved problem-solving. Outcomes: Our solution significantly improved the firm’s operational capabilities, stabilized the system, and positioned it for future growth. Increased Efficiency : Modernized development processes and automated testing and deployment caused quicker system updates and reduced manual maintenance efforts. Reduced Downtime : The integration of monitoring and automated deployment resulted in fewer system outages, ensuring greater service availability and reliability. Faster Time to Market : With the DevOps approach, new features and updates were deployed more quickly, enhancing the firm’s ability to respond to market changes and customer demands. Scalable Infrastructure : The new system architecture enabled the firm to handle increasing transaction volumes and integrate new technologies without significant system reconfigurations. Ongoing Growth : The firm is now in a strong position to scale its operations in line with future business requirements, with a flexible system that can easily accommodate new features, security upgrades, and regulatory changes. Improved Collaboration : The modernization process fostered better teamwork, facilitating more efficient issue resolution and continuous system improvements across teams.

Device Engineering Ruggedized Enclosures for Industrial Vision Sensors in Extreme Environments Client Background The customer is one of the top producers of industrial vision sensors for use in vital applications like automation, surveillance, and quality control in industries like mining, oil and gas, and manufacturing. Their sensors are deployed in challenging environments where reliability and durability are paramount. With an expanding customer base and diverse industrial applications, they needed enclosures that could withstand the toughest conditions. They required a solution to protect their sensors from environmental hazards without compromising performance. The goal was to enhance the longevity and performance of these vision sensors in extreme settings. Challenge The client faced the challenge of ensuring that their vision sensors operated reliably in extreme industrial environments. These sensors were vulnerable to environmental hazards such as extreme temperatures, dust, moisture, and vibrations. Traditional enclosures did not offer the necessary protection against these harsh conditions. The client also needed a solution that could maintain sensor performance and longevity over extended periods in demanding environments. The rugged enclosures had to be designed to protect the sensitive components while ensuring uninterrupted operation in diverse settings. Finding a solution that balanced protection with sensor performance was a critical requirement. Our Solution We designed custom ruggedized enclosures that provided maximum protection for the client’s industrial vision sensors, ensuring reliable operation in extreme environments. Durable Materials: We used advanced materials like high-strength alloys and impact-resistant plastics to create durable enclosures that could withstand extreme temperatures and physical stress. These materials also offer long-lasting durability under continuous use in demanding industrial settings. Sealing and Protection: The enclosures were equipped with superior sealing to prevent dust, moisture, and contaminants from entering, ensuring the sensors remained operational even in harsh conditions. This protection also prevented sensor degradation, maintaining optimal performance over time. Vibration Resistance: The design incorporated shock-absorbing components to protect sensors from vibrations and impacts commonly encountered in industrial environments. This ensured that the sensors remained stable and accurate, even in environments prone to heavy machinery operation. Thermal Management: We included passive cooling and insulation features to maintain optimal sensor performance across a wide range of temperatures. These features ensured that the sensors operated within their thermal thresholds, preventing overheating or freezing in extreme conditions. Custom Fit and Integration: The ruggedized enclosures were customized to the specific needs of the client’s sensors, ensuring a perfect fit and seamless integration with the existing systems. This customization streamlined deployment and minimized any risk of incompatibility with other components. Outcome The custom ruggedized enclosures enhanced the performance and durability of the client’s vision sensors, enabling them to thrive in the most demanding industrial settings. Increased Sensor Longevity: The sturdy enclosures significantly reduced wear and tear, extending the lifespan of the sensors. This prolonged the time between replacements and minimized downtime, providing long-term reliability. Reliable Performance in Harsh Conditions: The vision sensors continued to perform accurately in extreme temperatures, vibrations, and environmental conditions. This allowed the client to trust their sensors in a variety of industrial applications without concerns about malfunctions. Reduced Maintenance Costs: The improved protection reduced the frequency of sensor failures, cutting down on maintenance and replacement costs. The enclosures’ durability also minimized service visits and repair times, resulting in cost savings. Seamless Deployment: The enclosures enabled the client to deploy their sensors across a wide range of industries, ensuring smooth operations without environmental concerns. This streamlined the deployment process and allowed the sensors to be used in multiple industrial applications efficiently. Enhanced Customer Satisfaction: The durable and reliable sensors resulted in improved customer satisfaction by meeting the operational demands of industries that require top-tier performance. The rugged solution bolstered the client's reputation for providing high-quality, dependable products.

Facial Recognition Integration of Ready-to-Use AI Platform for Enterprise Automation Client Background: The client is a well-known international organization that specializes in enterprise software solutions across several industries. Having a strong worldwide presence, the company provides extensive software platforms that strengthen automation, maximize efficiency, and optimize business processes for major organizations. Their products serve a variety of industries, including manufacturing, banking, healthcare, and retail, with an emphasis on improving operational efficiency, lowering costs, and promoting digital transformation for customers. To address internal workflow inefficiencies, the company partnered with Regami Solutions to develop an AI-driven platform that enhances operational efficiency and boosts productivity. Challenges: With operational constraints caused by delayed and error-prone manual procedures, the client discovered that their old methods were ineffective at handling important business operations. Integration concerns resulted in delays and inconsistencies, while segregated data made decision-making more complicated and time-consuming. With growing data complexity and a greater demand for efficiency, the client needed a solution that could automate regular activities while reducing human participation. They approached Regami Solutions, intending to create a powerful AI-driven platform to streamline company operations and maintain a competitive advantage in the market. Our Solutions: To drive the client’s digital transformation, Regami Solutions implemented a comprehensive set of solutions that targeted operational inefficiencies. Data-Driven Decision-Making with Vektor+: By integrating Vektor+, our advanced AI platform, we enabled the client to extract actionable insights from vast datasets. These insights fueled smarter business strategies, optimized resource allocation, and improved forecasting, leading to increased efficiency and growth. Enhanced Workforce Efficiency with Vektor+: Vektor+ automation tools streamlined repetitive tasks, allowing employees to focus on higher-value activities. This transformation boosted productivity, sparked innovation, and improved employee satisfaction by reducing time spent on administrative duties. Robust Security and Compliance with Vektor+: To protect sensitive data and maintain industry compliance, Vektor+ incorporated state-of-the-art encryption and security measures. This ensured the integrity of client information while safeguarding against potential vulnerabilities. AI-Driven Process Automation: To address the client's challenge of manual inefficiencies, we implemented an intelligent automation framework that eliminates routine tasks. By automating data entry, processing, and decision-making workflows, our solution accelerated operations, ensuring that critical tasks are completed with speed and precision. Instant Data Integration: We connected the client's systems into one unified platform, allowing departments to share data instantly. This integration removed information barriers, improving teamwork and ensuring everyone had the latest data for better decision-making. Flexible Automation Solution: Our solution is built to grow with the client's needs. It can handle increasing data and new tasks without slowing down, ensuring long-term efficiency and adaptability to future changes. Outcomes : Through the deployment of Regami's Vektor+ platform, the client experienced transformative outcomes that reshaped their operations. Here’s how Vektor+ delivered measurable impact and long-term success: Boosted Operational Efficiency: Automating previously manual processes significantly minimized delays, driving up productivity and efficiency across all departments, allowing for smoother daily operations. Data-Driven Decision Making: Real-time data integration and advanced AI insights empowered management with a clearer, more actionable view of operations, enabling quicker, more informed decisions and more efficient resource allocation. Cost Savings and Risk Reduction: By reducing reliance on manual intervention, labor costs were slashed, and human errors were minimized, leading to reduced operational risks and more cost-effective management. Accelerated Time to Market: The streamlined workflows and faster decision-making enabled the client to shorten project timelines, enhancing their ability to respond swiftly to market demands and stay ahead of the competition. Scalable Growth: Vektor+'s ability to seamlessly scale with growing data and expanding operations ensured the platform could support long-term business growth, making the client's infrastructure future-ready. Enhanced Compliance and Security: With integrated data security and compliance features, the client not only met regulatory requirements more efficiently but also safeguarded their operations against potential legal risks, ensuring business continuity and trust with stakeholders.

Leverage Regami’s Cloud AI/ML services to build intelligent scalable and secure solutions. Home Vision Engineering Cloud AI/ML Intelligent Vision, Powered by the Cloud: A New Era of AI Supercharge your image processing and video analysis with our cloud-based AI/ML. Enhance decision-making, automate processes, and utilize real-time insights—all from the cloud. Contact Us Today Login to Get Brochure Accelerating AI-Driven Image Recognition for Cloud-Based Surveillance View Case Study Security Case study Optimizing Model Training Pipelines for Vision Applications in Retail View Case Study Retail Case study Real-Time Cloud AI Solutions for Autonomous Drone Navigation View Case Study Robotics Case Study At Regami, we specialize in delivering advanced cloud-based AI/ML solutions for vision-based applications. From object recognition and real-time image processing to predictive maintenance and automated analytics, our cloud services enable businesses to extract valuable insights from visual data. With scalable infrastructure, cutting-edge models, and secure deployment, we help unlock the power of AI/ML, transforming the way industries leverage image and video data. Our cloud-powered systems accelerate decision-making, optimize workflows, and reduce operational costs, while ensuring seamless integration and industry-specific customization. Our cloud-based solutions are designed to enhance industries by enabling real-time insights, predictive analysis, and intelligent decision-making through efficient and secure AI-driven processes. Whether it's through our Regami Over-the-Air Update (ROTA), OCR (Percepta), License Plate Recognition (Clarity+), Barcode/QR Recognition (Dexter+), Facial Recognition (Vektor+), Iris Recognition (Optiva+), etc. Regami’s versatile offerings ensure that every visual data interaction is seamless, secure, and optimized for performance. Cloud AI/ML Vision-Based Solutions: Tailored to Your Needs Name* Email* Service Required* Service Required Short answer Schedule a consultation with our experts. Submit Cloud AI/ML Cloud AI Consulting Offering expert guidance on integrating AI/ML solutions into your vision-based systems, ensuring alignment with business objectives and industry standards. Know More Cloud AI/ML Custom AI Software Development Tailored AI solutions designed to meet your unique business needs and unlock the full potential of vision-based systems. Know More Cloud AI/ML Predictive Analytics Leveraging cloud-based AI and ML algorithms to analyze visual data and predict trends, enhancing decision-making and operational efficiency. Know More Cloud AI/ML Intelligent Computer Vision & OCR Implement AI-powered computer vision and Optical Character Recognition (OCR) systems to automate visual data interpretation and enhance accuracy. Know More Cloud AI/ML Smart NLP Engines Develop advanced Natural Language Processing engines for intelligent text understanding and seamless integration with vision-based systems. Know More Cloud AI/ML Dynamic ML Systems Build adaptive machine learning systems capable of continuous learning and evolution to optimize visual data analysis. Know More Cloud AI/ML Vision Solutions for Scalable Innovation Regami combines Cloud AI/ML solutions with device engineering expertise, enabling scalable, efficient, and intelligent hardware tailored for diverse applications. Cloud-Based Smart Surveillance Scalable cloud systems for real-time video analysis, enabling proactive security and insights. AI-Powered Retail Analytics Analyze customer behavior, optimize inventory, promotions, and store layouts from the cloud. Remote Industrial Inspections Automate and scale remote visual inspections, boosting defect detection and operational efficiency. AI-enabled Medical devices Rapidly analyze medical images, improving diagnostics and enabling faster care. Automatic LPR systems Real-time vehicle tracking and traffic enforcement with cloud-based LPR solutions. AI-Powered Dashcam Smart dashcam solutions for incident detection and driver behavior analysis via cloud AI. Bridging Gaps in Cloud AI/ML With Tailored Solutions Data Integration & Security Integrating large volumes of visual data while ensuring secure, private access and compliance with industry standards is crucial for AI/ML model accuracy and security. Scaling AI/ML Models Scaling AI/ML models across cloud platforms requires efficient resource management and optimization. Model Deployment & Management Deploying and managing machine learning models in the cloud while ensuring performance and consistency is a significant challenge. Cost Optimization Managing the costs of cloud-based AI/ML infrastructure without compromising performance is a persistent challenge. Real-Time AI Processing Real-time data processing with AI in the cloud can face latency issues, impacting decision-making in fast-paced environments. Model Drift & Maintenance AI/ML models in the cloud require constant monitoring and updates to address model drift, ensuring accuracy and relevance over time. Securing AI Data in the Cloud Regami collaborated with a financial services firm to integrate sensitive customer data securely in the cloud. We implemented advanced encryption and privacy measures, ensuring regulatory compliance and data security. View Case Study Scaling Predictive Analytics for E-commerce We partnered with an e-commerce company to scale their AI-powered recommendation system. By optimizing cloud resources, we increased recommendation accuracy and scaled the system to handle high traffic. View Case Study Streamlining AI Model Deployment for Healthcare egami helped a healthcare provider streamline the deployment of AI models for diagnostic imaging in the cloud. Our solution reduced deployment time and improved model accuracy. View Case Study Reducing Cloud AI Costs for Retail We worked with a retail chain to optimize their cloud AI/ML infrastructure, cutting operational costs by leveraging efficient resource allocation while maintaining high performance. View Case Study Real-Time AI for Smart Cities Regami assisted a smart city project in deploying real-time AI processing for traffic management, reducing latency and improving system responsiveness across the cloud. View Case Study Managing Model Drift for Predictive Maintenance Regami worked with a manufacturing company to monitor and update AI models for predictive maintenance, preventing model drift and ensuring ongoing accuracy in equipment failure predictions. View Case Study Healthcare Provider Addresses AI Model Transparency Challenges Implementing explainable AI methods helped the healthcare provider gain regulatory approval. This increased trust in their AI diagnostics, ensuring compliance with industry standards and improving model transparency. View Case Study Regami's Software Platforms and SDKs Resources Regami Over-the-Air Meridian ONVIF Percepta OCR Nova Android App Authenta Video KYC Clarity+ LPR Dexter+ Barcode/QR Recognition Vektor+ Facial Recognition Optiva+ Iris Recognition Regami's Hardware Platforms Neurex Smart Camera Platform AI-enabling vision for edge processing and automation.  Innova GigE Camera Low-latency ONVIF GigE cameras with on-board storage & PoE. MerlinPlus USB2.0 UVC Camera USB 2.0 UVC camera with on-board storage & dual streaming. Wave WiFi Camera Low-latency ONVIF WiFi cameras with on-board storage. Armor SerDes Camera HDR cameras with GMSL2/L3 & FPD-Link III/IV technologies.  Falcon USB3.0 UVC Camera High-speed, high-performance USB 3.0 UVC camera. Bolt MIPI Camera AI imaging and vision processing accelerated by GPU.  Merlin USB2.0 UVC Camera USB 2.0 UVC camera for high-performance capture. Standard You Trust, Platforms You Rely On Certifications FCC CE UL ATEX ETL RoHS REACH SoC2 HIPAA Processing Platforms NVIDIA NXP MediaTek Raspberry Pi TI STM Espressif Wireless Platforms uBlox Sierra Nordic Laird Quectel Microchip SimCom Innovation Insights: Explore Our Latest Articles How Cloud AI is Transforming Vision-Based Systems Cloud-based AI is transforming industries by enabling real-time processing of images and videos, enhancing decision-making and automation in various applications. Cloud Impact Optimizing Vision AI Performance in the Cloud Best practices for optimizing the performance of vision-based AI models in the cloud, ensuring efficient operations, scalability, and seamless deployment. AI Performance Cost-Effective Cloud Solutions for Vision-Based AI Strategies for optimizing cloud infrastructure to reduce costs while maintaining high-performance vision-based AI systems and ensuring operational efficiency. Cloud Solutions Related Services Vision Engineering Device Engineering One-stop device engineering services for developing smart, connected IoT solutions, from design and prototyping to manufacturing. Know More Vision Engineering Camera Engineering End-to-end camera engineering solutions for design, calibration, and performance enhancement. Know More Vision Engineering Edge AI/ML Tailored engineering services for implementing AI/ML algorithms on edge devices for low-latency insights. Know More Ready to Bring Your Ideas to Life? 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Build Future-Ready Digital Solutions empowered our Product Engineering Services accelerated by Platforms & SDKs. Home Digital Engineering Product Engineering Your Partner in Building Scalable and Future-Ready Products We engineer and modernize product solutions and applications, aligning with your goals to ensure high performance, security, scalability, and flexibility for future demands. Contact Us Today Login to Get Brochure Improving Patient Monitoring with Scalable IoT Solutions View Case Study Medical Case study Real-Time Data Processing in Logistics Operations View Case Study Transportation Case study Accelerating Startups with Agile Product Development View Case Study Consumer Case Study At Regami Solutions, we deliver end-to-end product engineering services, from ideation to deployment and maintenance. Our agile approach ensures that products are customized to meet your needs, adaptable to change, and scalable for future growth. We focus on quality and innovation, with rigorous testing and continuous optimization to ensure your product performs at its best. Whether developing a new solution or upgrading an existing one, we help businesses stay competitive and thrive in dynamic markets. We leverage AI, IoT, and cloud technologies to make your product future-ready, ensuring functionality for today and adaptability for tomorrow. With a focus on flexibility and scalability, we help your business thrive in evolving markets while delivering exceptional value. Regami Solutions offers powerful SDKs, including Facial Recognition (Vektor+), OCR (Percepta), Barcode/QR Recognition (Dexter+) and Iris Recognition (Optiva+), for seamless integration and advanced functionality. Our software platforms, such as Authenta Video KYC, Regami Over-the-Air (ROTA), Meridian ONVIF, Vortex RTSP deliver scalability, flexibility, and efficiency to drive innovation and streamline operations. Our Digital Solutions: Development, Migration & Compliance Name* Email* Service Required* Service Required Short answer Schedule a consultation with our experts. Submit Product Engineering Mobile App Development Secure, high-performance mobile apps, optimized for modern needs and seamless platform integration. Know More Product Engineering Web Application Development Responsive, functional web apps that boost user engagement with the latest technologies. Know More Product Engineering Application Modernization Revise outdated systems with cloud and microservices, driving future-ready, adaptable solutions. Know More Product Engineering API Migration & Modernization Optimize APIs for enhanced performance, security, and seamless integration. Know More Product Engineering Regulatory Compliance Manage industry standards (GDPR, HIPAA) with expert regulatory guidance. Know More Product Engineering Cross-Platform App Development Providing scalable, high-performance cross-platform app development with exceptional design and quality. Know More Top Challenges in Product Engineering and Their Solutions Multi-Platform Integration We use cross-platform frameworks and microservices to integrate applications seamlessly across devices. Managing Technical Debt We modernize codebases and integrate DevOps to manage legacy systems' technical debt while maintaining stability Speed vs. Quality We leverage automation and continuous testing to deliver faster development cycles without compromising quality. Real-Time Data Processing We use edge computing and distributed systems to handle large volumes of real-time data with low latency. Dynamic Regulatory Compliance We develop adaptive frameworks to ensure compliance with evolving regulations like GDPR and HIPAA. AI Model Interpretability We apply explainable AI techniques to ensure transparency and compliance in AI models, especially in regulated industries. Global Retailer Enhances UX with Unified Apps By adopting a microservices-based architecture, we significantly reduced development time by 25%. This approach improved cross-platform performance, ensuring smooth and consistent user experiences across devices. View Case Study Financial Firm Upgrades Legacy System for Growth and Scalability Through a combination of code refactoring and DevOps practices, we improved the firm's operational efficiency by 40%. This overhaul not only stabilized their system but also reduced downtime by 50%, facilitating smooth scalability. View Case Study Startup Accelerates Development Without Compromising Quality By integrating continuous testing and automation into the development process, we boosted release speed by 30%. This approach also reduced post-release issues by 20%, ensuring quicker delivery with consistent product reliability. View Case Study Healthcare IoT Company Resolves Latency in Patient Monitoring Implementing edge computing solutions reduced data processing latency by 35%. This improvement enhanced the speed and reliability of real-time patient monitoring, making critical health data available faster. View Case Study Healthcare Provider Ensures GDPR and HIPAA Compliance Our adaptive compliance framework enabled the healthcare provider to stay audit-ready. It streamlined their regulatory processes, reducing audit preparation time by 40% and ensuring compliance with ever-changing standards. View Case Study Healthcare Provider Addresses AI Model Transparency Challenges Implementing explainable AI methods helped the healthcare provider gain regulatory approval. This increased trust in their AI diagnostics, ensuring compliance with industry standards and improving model transparency. View Case Study Healthcare Provider Addresses AI Model Transparency Challenges Implementing explainable AI methods helped the healthcare provider gain regulatory approval. This increased trust in their AI diagnostics, ensuring compliance with industry standards and improving model transparency. View Case Study Regami's Software Platforms and SDKs Resources Regami Over-the-Air Meridian ONVIF Percepta OCR Nova Android App Authenta Video KYC Clarity+ LPR Dexter+ Barcode/QR Recognition Vektor+ Facial Recognition Optiva+ Iris Recognition Core Advantages of Our Product Engineering Solutions Maximizing IT ROI Achieve superior returns through efficient IT resource allocation and optimized solution performance. Agile App Delivery Speed up development processes while ensuring the delivery of robust, high-performance applications. Resilient Microservices Create flexible, scalable systems that ensure reliability, fault tolerance, and seamless integration. Goal-Driven Architecture Design infrastructure that aligns with and supports your organization’s strategic objectives. Advanced Tech Stack for High-Performance Solutions Mobile App Development Android Kotlin Java IOS Swift Objective-C Deployment Google Play Store App Store Cross Platform Flutter React Native Ionic Database MongoDB Realm SQLite IDE/SDK Android Studio Eclipse Xcode App Developer IntelliJ IDEA Visual Studio Code Web App Development Front-End HTML CSS JS React Angular JS Vue.JS Server Python Node JS PHP Java Microsoft.net Cloud AWS Microsoft Azure Google Cloud Database SQLite MySQL PostgreSQL. Languages Java Python Atom DOT Net UI Frameworks QT Atom Java FX IDE IntelliJ IDEA Eclipse Visual Studio Code Innovative Engineering Solutions for Modern Industries We deliver unique engineering solutions, applying multi-domain expertise to foster innovation, enhance efficiency, and ensure secure integration with modern technologies. Medical & Life Science Innovative engineering solutions for medical technologies and healthcare devices, ensuring performance and compliance. Read More Retail & Consumer We have advanced product engineering for personalized experiences, efficient operations, and seamless customer interactions. Read More Transportation & Smart City Smart, scalable solutions for connected infrastructure and intelligent systems in transportation and smart cities. Read More Robotics & Automation We engineer intelligent robotics & automation systems that increase efficiency, precision, and innovation. Read More Security & Surveillance We build and engineer secure and scalable solutions to redefine security and surveillance systems for modern environments. Read More Healthcare & Insurance Developing advanced digital engineering solutions that improve healthcare operations, and streamline insurance workflows. Read More Innovation Insights: Explore Our Latest Articles Blogs Modernizing Legacy Apps for the Future Revamp outdated systems to boost efficiency, cut costs, and stay competitive in today’s tech-driven world. Legacy Revamp Blogs Agile Development for Product Innovation Build scalable, high-performance applications faster with agile development that adapts to your needs. Agile Tools Blogs Seamless API Migration & Modernization Effortlessly migrate and upgrade your APIs to enhance functionality, security, and integration. API Upgrade Related Services Digital Engineering Cloud Engineering Design, deploy, and manage scalable, secure cloud infrastructures tailored to your business needs. Know More Digital Engineering Data Engineering Build robust data pipelines and frameworks that drive insightful analytics and business intelligence. Know More Digital Engineering DevSec Ops Integrate security seamlessly into your development and operations processes for continuous, secure delivery. 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Experience Transformation Omnichannel Experience Design for a Retail Chain Client Background: A well-established retail chain, recognized for its diverse fashion and lifestyle offerings, wanted to enhance customer engagement by seamlessly integrating its digital and in-store experiences. Their goal was to provide a frictionless shopping journey, ensuring convenience, personalization, and efficiency across all customer touchpoints. Challenges: Despite operating both online and offline stores, the lack of integration between these platforms caused a fragmented customer journey. Issues such as shopping cart abandonment, inconsistent inventory management, and difficulty in tracking customer preferences impacted sales and engagement. Additionally, the absence of a centralized data system made it challenging to deliver a personalized shopping experience. Our Solutions: Regami's strategy was to align the in-store and digital touchpoints to provide customers with a smooth, harmonious experience. By implementing a customer-centric strategy, we integrated innovative solutions that drove omnichannel engagement and improved the customer experience. Unified Shopping Experience: We developed a seamless omnichannel strategy, ensuring customers could transition effortlessly between online and in-store interactions. From browsing to purchasing and collecting, the entire experience became smooth and connected. Smart Retail Technology: By implementing smart shelves, interactive digital signage, and AI-based recommendation engines, we enhanced in-store engagement. Customers received real-time product information, personalized suggestions, and interactive experiences customized to their preferences. AI-Based Customer Support: AI-driven chatbots and live support systems were introduced across all customer touchpoints. This enabled quick query resolution, reduced wait times, and ensured customers received consistent assistance across platforms. Seamless Cross-Channel Shopping: We integrated real-time inventory tracking, enabling accurate stock visibility across online and offline channels. Click-and-collect, easy reordering, and streamlined checkout processes enhanced customer convenience and reduced abandoned carts. Omnichannel Loyalty & Returns: A unified loyalty program was introduced, allowing customers to earn and redeem points across all channels. Additionally, a seamless return and exchange system ensured customers could return items conveniently, whether purchased online or in-store. Outcomes: These outcomes demonstrate how Regami’s omnichannel strategy and technological innovations have produced substantial improvements in customer experience, sales, operational efficiency, and long-term brand loyalty. Improved Customer Experience: With an integrated omnichannel strategy, customers enjoyed a consistent and hassle-free shopping journey. The ability to transition effortlessly between platforms increased satisfaction and engagement. Personalized Engagement: Holistic customer data integration enabled hyper-personalized recommendations, promotions, and communication. This enhanced customer connections, improved conversion rates, and strengthened brand loyalty. Higher Sales & Retention: The frictionless shopping experience, combined with AI-driven personalization, resulted in increased sales and repeat purchases. Customers engaged more with the brand, resulting in higher retention rates. Empowered Store Associates: By equipping store associates with real-time customer data, they provided more personalized service and product recommendations. This improved customer interactions raised in-store conversions and strengthened relationships. Future-Ready Retail Strategy: With a fully integrated, statistical omnichannel ecosystem, the retail brand is now positioned to adapt to evolving consumer demands. This ensures long-term competitiveness and a superior customer experience.

Cloud AI/ML Reducing Cloud AI Costs for Retail Client Background: We partnered with a major retail chain to optimize their cloud-based AI and ML infrastructure, reducing operational costs while ensuring secure performance and scalability. Our client, a well-established retail chain operating hundreds of stores nationwide. Known for their commitment to customer-centric services, their company has integrated AI and machine learning into various aspects of its operations, from inventory management to personalized marketing, they found it difficult to strike the right balance between cost efficiency and maintaining the high-performance standards required for their AI models. They reached out to Regami, in search of a solution that would reduce these escalating costs without compromising the quality or scalability of their AI applications. Challenges: Controlling the expenses associated with their growing AI operations presented major challenges for our client's company. Their AI-powered apps demanded a lot of processing power, which caused the cost of cloud infrastructure to soar. Due to the outdated resource allocation approach, cloud resources have been frequently over-provisioned for unnecessary tasks, resulting in unnecessary expenditures. While performance has a direct influence on customer experience and operational efficiency, the organization was hesitant to compromise the accuracy and speed of their AI models. They need an approach that would preserve optimal performance while streamlining AI workloads, cutting expenses, and optimizing their cloud infrastructure. We were tasked with bringing a solution that could directly address these issues. Our Solutions: Regami Solutions implemented a customized approach designed to streamline the client’s cloud infrastructure, reduce waste, and optimize their AI workflows while maintaining high performance. Cloud Resource Optimization: We began by conducting a comprehensive audit of the client’s cloud architecture. Through this assessment, we identified areas of resource waste, including over-provisioned compute and storage resources. By rightsizing their infrastructure, we significantly reduced costs without impacting the performance of their AI workloads. Dynamic Auto-Scaling for AI Workloads: To handle fluctuating demands, we implemented a dynamic auto-scaling solution that automatically adjusts cloud resources based on the specific needs of AI models. This ensured that the client only used and paid for the resources they required at any given time, optimizing cloud spend. Serverless Computing for Machine Learning Tasks: For certain AI operations, we shifted to serverless computing, which allowed the client to pay only for the compute time used. This solution removed the need for dedicated servers to run continuously and resulted in substantial savings without performance loss. Real-Time Cost Monitoring & Alerts: We introduced a comprehensive cost monitoring system with real-time analytics and automated alerts, helping the client identify and react to cost anomalies quickly. This proactive approach empowered them to make data-driven decisions and stay within budget. Efficient Model Design and Deployment: We worked closely with the client’s AI team to optimize their machine-learning models. By refining algorithms and reducing computational complexity, we lowered the resource consumption required for training and inference, which directly reduced cloud infrastructure costs. Implementing Cloud-Native Solutions: To improve cost efficiency, we migrated certain AI workloads to cloud-native platforms that were better suited for their needs. This shift resulted in enhanced performance and more cost-effective operations, making the overall cloud strategy more efficient. Outcomes: Our client was able to achieve real results that not only cut costs but also improved the efficiency and scalability of their AI operations. Reduction in Cloud Costs : The optimization of cloud resources resulted in a substantial reduction in monthly operational costs while maintaining AI performance. Reduction in Resource Wastage : Through dynamic auto-scaling and resource rightsizing, the client reduced unnecessary resource usage, ensuring that compute and storage were aligned with actual demand, eliminating idle capacity. Enhanced Scalability with Cost Efficiency : The auto-scaling mechanism enabled the client to handle varying workloads seamlessly, scaling up during peak usage periods while scaling down during off-peak times, without overspending. Improved AI Model Efficiency : By improving machine learning algorithms and reducing computational complexity, the client experienced improved model performance. The models now ran faster and with less computational overhead, leading to more efficient use of cloud resources. Greater Cost Visibility and Control : With immediate cost tracking and alerts, the client had better visibility into their cloud expenses. This enabled them to make timely adjustments, preventing unexpected cost overruns and improving financial control. Faster Deployment and Time to Market : Enhanced cloud infrastructure and streamlined AI processes allowed the client to reduce the time needed to deploy new AI-driven initiatives. This accelerated time-to-market for their technology-driven projects and enhanced their competitive advantage in the retail space.

Camera Engineering Ultra Low Latency Cameras For Autonomous Vehicle Navigation Client Background: Our client is a leading technology company specializing in autonomous vehicle navigation systems. Renowned for developing advanced self-driving vehicle solutions, the company focuses on enhancing safety and performance through cutting-edge sensors and artificial intelligence. Despite significant progress in the autonomous vehicle industry, the client faced a critical issue with camera latency, which hindered the real-time decision-making capabilities of their navigation systems. The latency prevented the vehicles from processing visual data quickly enough to adapt to rapidly changing environments. Recognizing the importance of ultra-low latency for optimal performance, the company approached us to refine their camera systems and meet these stringent requirements. Challenges: The client struggled with latency issues in their camera systems, which impacted the vehicle’s ability to process visual data in real time. As autonomous vehicles rely heavily on cameras for perception, these delays affected key functions such as collision avoidance and navigation accuracy. Slow processing times posed significant safety risks, particularly in fast-moving and unpredictable environments. To ensure timely decision-making, the company needed a solution to reduce latency and enhance the overall performance of their autonomous vehicle systems. Our Solutions: To address the challenges faced by the client, we implemented several advanced solutions: Advanced Image Processing: We deployed specialized algorithms designed to process images quickly, reducing the time taken to analyze visual data. This allowed the vehicle’s system to make faster decisions, improving obstacle detection and overall navigation. High-Performance Camera Integration: Regami Solutions integrated ultra-low latency cameras capable of capturing clearer images at faster frame rates. This enhanced the vehicle’s ability to gather and interpret visual information quickly, supporting rapid decision-making even in challenging conditions. Edge Computing Solutions: To minimize transmission delays, we implemented edge computing, processing data directly on the vehicle instead of sending it to remote servers. This solution significantly improved the vehicle's real-time response time. Optimization for Real-Time Data: We optimized the network architecture, facilitating high-speed data transfer between the cameras and the vehicle’s central processing unit. This reduced bottlenecks, improving communication between sensors and the processing unit. AI-Enhanced Visual Recognition: To further improve performance, we integrated AI-driven image recognition systems that quickly identified and classified objects. This enabled prompt, data-driven decisions, allowing the vehicle to adapt rapidly to environmental changes. Robust Testing and Calibration: We conducted thorough testing and calibration of the camera and sensor systems to ensure they performed consistently under real-world conditions. This evaluation confirmed that our solution could handle environmental challenges while maintaining reliable performance. Outcomes: The outcomes of implementing our solutions were significant: Reduction in Camera Delay: Our ultra-fast processing solutions dramatically reduced the visual data processing time, enabling near-instant decision-making. This enhancement improved both the safety and efficiency of the vehicle. Enhanced Navigation Precision: With faster image processing and advanced recognition, the vehicle's navigation system became more accurate in assessing its surroundings. This led to better obstacle detection and improved route planning in dynamic environments. Improved Real-Time Reaction: The vehicle’s camera system could now quickly adapt to evolving conditions, significantly enhancing its responsiveness. This improvement contributed to safer autonomous driving in urban and rural environments. Reduced Collision Risk: By reducing delay and boosting processing speed, the vehicle could more effectively avoid potential accidents. This improved real-time response allowed for quicker adjustments or stops when necessary, reducing collision risk. Boosted Customer Trust: The upgrades to the navigation system enhanced the client's reputation as a leader in autonomous vehicle safety and performance, building trust among customers and partners. Cost Savings in Development and Deployment: By optimizing the camera systems and leveraging edge computing, the client reduced reliance on cloud computing and external server infrastructure, resulting in cost savings. These resources were then reallocated to further innovation.

DevSecOps Automating Compliance for Financial Institutions with DevSecOps Client Background: A leading financial firm provides a comprehensive range of services, including retail banking, investment solutions, and wealth management. With a global footprint, the organization serves a diverse portfolio of clients, from individual investors to large corporate entities. The firm is committed to strict regulatory compliance while prioritizing efficiency, security, risk management, and a customer-centric service approach. Now, they require an expert solution to address their complex requirements and enhance their operational effectiveness. Challenges: Even with their solid business approach, they had difficulty complying with constantly changing financial demands. Their current manual compliance procedures were inefficient, tedious, and prone to inaccuracies. They raised the risk of audits and caused delays in meeting regulatory reporting deadlines. The complex IT architecture, with multiple cloud-based systems lacking automation, delayed timely compliance monitoring and increased the risk of non-compliance fines. They faced issues with manual compliance procedures, inefficient monitoring, and complex IT architecture, so they approached Regami to address these challenges. Our Solutions: At Regami, we've applied innovative DevSecOps strategies to simplify security and compliance for financial institutions, using automation and real-time insights to help manage risks effectively. Continuous Cloud Compliance : Automated compliance checks ensured financial regulations were met across cloud environments, reducing manual efforts. This allowed seamless integration with hybrid cloud systems for improved efficiency. Instant Tracking & Reporting : Integrated CI/CD tools provided real-time compliance monitoring and automated audit reports, eliminating delays. Organizations could generate accurate compliance reports instantly. Real-Time Compliance View : Centralized dashboards offered instant insights into security status, improving decision-making and collaboration. Teams could proactively address compliance risks with live data visibility. Secure IaC Management: Infrastructure as Code (IaC) ensured secure, version-controlled configurations, minimizing human errors. It also enhanced consistency across cloud and on-premises environments. Automated Vulnerability Detection : Security scanners proactively identified and resolved vulnerabilities before deployment, reducing risks. Early detection helped prevent security breaches and compliance violations. Continuous Training Hub: Automated compliance training kept employees informed on regulations, nurturing a security-focused culture. Regular updates ensured teams adapted to evolving industry standards. Outcomes: Through DevSecOps, Regami automated the firm's compliance processes, ensuring real-time security and faster regulatory adaptation. This resulted in reduced risks, enhanced efficiency, and significant cost savings. Faster Compliance Reporting : Automated reporting tools streamlined audits, improving efficiency by ensuring real-time and accurate documentation. This significantly reduced the time and effort required for regulatory submissions. Quicker Regulatory Adaptation : Continuous monitoring facilitated immediate integration of new regulations, ensuring ongoing compliance and swift adaptation. The system automatically adjusted security policies to meet updated compliance requirements. Stronger Compliance Culture: Automated training reduced errors and ensured teams stayed informed on evolving compliance needs. Employees became proactive in addressing security and regulatory issues. Lower Risk of Penalties: Real-time tracking minimized violations, keeping the organization audit-ready and protected. This decreased vulnerability to monetary fines and harm to one's reputation. Improved Security Posture: Proactive vulnerability management strengthened system security and protect sensitive data. Continuous scanning ensured threats were detected and mitigated instantly. Optimized Infrastructure Management: IaC ensured consistent, automated configurations, eliminating manual setup errors. This enhanced scalability, reliability, and security across all infrastructure components.

Cloud AI/ML Enhancing Model Training Pipelines for Vision Applications in Retail Client Background: Our customer is a well-known retailer specializing in various consumer items, including clothing, electronics, and household necessities. With its expanding online platform and physical shops, the company serves millions of clients globally. To remain competitive and provide outstanding client experiences, they have integrated the latest technologies into their operations as part of their business plan. Despite having a strong digital infrastructure, the company struggled to scale its computer vision models for tasks like inventory management, shelf scanning, and personalized recommendations. Their existing vision solutions were underperforming, causing delays and inefficiencies, which prompted them to seek a solution from Regami Solutions. Challenges: The main issue facing the client was the slowness and inefficiency of their pipeline for training computer vision models, which could not keep up with the increasing amount of data produced by their online platforms and retail locations. Time-consuming manual labeling and inadequate, scalable model designs were features of the existing system. Their capacity to swiftly implement new models was impeded, which affected inventory management and product identification. The business also had significant item detection mistake rates, which resulted in lost or misplaced products, stockouts, and unhappy customers. Updating inventory records was delayed since their current structure was inflexible enough to include real-time data. The client approached us to build a scalable, and efficient pipeline that would enhance their model training process and deliver improved accuracy and faster deployment cycles. Our Solutions: Our approach incorporated the latest advancements in AI and machine learning, as well as a deep understanding of the unique needs of retail-based vision applications. Here’s how we tackled the challenges: Automated Data Labeling and Augmentation: We implemented an automated data labeling system using active learning to reduce human errors and speed up the process. Data augmentation techniques like color adjustments and scaling improved dataset variety and model accuracy. Model Architecture Designed for Faster Processing: We improved model architecture with parallel processing and lightweight models like MobileNet to improve performance and reduce computational load. Scalable Cloud-Based Training Infrastructure: A scalable cloud infrastructure was built to efficiently handle vast retail data, supporting distributed training for quick data processing. Adaptive Learning and Continuous Model Monitoring: A continuous monitoring system was implemented for immediate model performance tracking, enabling quick adjustments and adaptive learning for sustained accuracy. Integration with Retail Management Systems: We integrated computer vision models with retail management systems for automated inventory tracking, product recognition, and immediate data updates across stores and warehouses. Custom Training Pipelines Specific to Retail Needs: Custom training pipelines were designed for various retail products, supporting different data types and camera setups for efficient model training. Outcomes: The enhanced training pipelines not only enhanced the performance of their computer vision models but also helped the company achieve operational efficiency and improve the customer experience. Here are the key outcomes: Faster Model Training Cycles: The new pipeline significantly sped up model training, allowing quicker updates and more frequent experimentation. This agility helped the client stay ahead of evolving retail demands. Improved Object Detection and Recognition: Enhanced models produced more accurate product recognition, reducing misidentifications and enhancing inventory management, leading to fewer operational errors. Scalability to Handle Growing Data Needs: The cloud-based infrastructure now supports seamless scalability, easily handling increased data and expanding product lines as the client’s business grows. Enhanced Real-Time Decision Making: Real-time inventory tracking and automated updates allowed for quicker stock replenishment, streamlining the supply chain and improving decision-making. Reduced Operational Costs: Automating manual tasks like data labeling and product tracking resulted in reduced operational costs, improving productivity and enabling staff to focus on higher-value tasks. Better Customer Experience and Increased Sales: Accurate inventory and product recognition improved the shopping experience, improving customer satisfaction and causing increased sales.

Data Engineering Smarter Governance: Centralized Data in Public Sector Agency Client Background: A government agency responsible for managing a variety of public services across multiple regions, the client sought to improve operational efficiency through better data integration. With a mission to improve the quality of life for citizens, they manage data-driven programs in healthcare, education, and infrastructure. However, dispersed data systems across departments reduced the agency's operational efficiency. This lack of integration made it difficult to derive actionable insights from available data. The agency acknowledged the importance of improved data management and looked for a solution to optimize its operations and improve decision-making. Challenges: Effective use of the agency's data was fraught with difficulties. Each department had its data system, which led to inefficiencies and made it difficult to obtain all of the insights. Errors were created by exhausting human data entry and reporting, which reduced the precision of decision-making. Responses to serious issues were delayed due to the lack of a centralized data center, which limited real-time access to critical information. The quality of public services deteriorated as a result of the agency's inability to make timely, well-informed choices. Our Solutions: We implemented a centralized data warehousing solution to unify the agency's data and enable real-time access across departments. This solution not only enhanced decision-making but also empowered the agency to improve its overall operational efficiency. Centralized Data Management : All departmental data was consolidated into a single, easy-to-access data warehouse, eliminating silos and ensuring consistency. This allowed for more accurate and comprehensive reporting across all sectors. Automated Data Integration: The integration of automated data pipelines reduced manual input errors and digital data transfer across systems. This automation resulted in faster data processing and more reliable data for decision-making. Instant Data Access: Advanced analytics and reporting tools enabled decision-makers to access real-time data and generate insights for quicker decision-making. The ability to respond to emerging trends and needs became significantly more active. Flexible Infrastructure: Designed to scale with growing data needs, the system can easily accommodate new data sources and departments in the future. This ensures long-term sustainability and adaptability as the agency’s data requirements evolve. Reliable Data Security: The solution implemented strong security protocols, ensuring the protection of sensitive public data and compliance with regulatory requirements. This fostered trust within the agency and with the public, knowing that their data was secure. Outcomes: The implementation of the data warehousing solution delivered transformative results for the agency. By simplifying data management, the solution enhanced operational efficiency and service delivery. Improved Data Access: By centralizing data, the agency ensured that key stakeholders across departments had immediate access to accurate, up-to-date information. This increased transparency and allow for informed decision-making at all levels. Quicker Response to Public Demands : With real-time insights, decision-makers were able to respond more quickly to evolving public needs and emergencies. This reduced response times and improved the agency's ability to address urgent public matters. Boosted Public Sector Productivity: Automated data processes eliminated manual errors, reducing time spent on data entry and reporting. This freed up valuable resources to focus on strategic initiatives and improve overall productivity. Better Resource Allocation: Real-time data insights allowed for more effective planning and allocation of resources across programs and regions. This improved the efficiency of public service delivery and ensured that resources were used optimally. Improved Public Service Delivery: With better decision-making capabilities, the agency was able to enhance the delivery of services, ensuring more timely and efficient outcomes for citizens. This led to higher satisfaction and greater public trust in the agency’s initiatives.