Cloud Engineering Designing Resilient Cloud Architectures for Financial Services Client Background: With over 15 million clients, our client is a global financial services company operating in the banking, insurance, and investment management industries. Modernizing infrastructure is essential for financial services to stay competitive, comply with regulations, and manage growing sensitive data. To guarantee scalability, security, and compliance as part of their digital transition, they had to update their infrastructure. Transitioning to cloud-based solutions enhances security, efficiency, and scalability but challenges availability, disaster recovery, and regulatory compliance. So, they opted for expert assistance to create an efficient cloud architecture that would withstand critical tasks while ensuring data security and high availability. Challenges: The migration to the cloud presented a series of obstacles for the client, requiring careful attention across multiple areas. Being outdated and tightly integrated with on-premises solutions, their legacy systems, complicated the migration process. Compliance with regulatory standards such as GDPR, PCI-DSS, and SOX was non-negotiable, necessitating an architecture that met the highest security standards. Ensuring uninterrupted financial transactions across regions, efficient disaster recovery, and securing sensitive data through encryption and access controls were top priorities for infrastructure management. Lastly, the client needed a cloud infrastructure that could scale quickly to meet performance demands during peak transaction periods without sacrificing speed or reliability. Our Solutions: We created a secure cloud architecture to solve the client's issues, guaranteeing operational effectiveness, scalability, and security. Phased Migration Approach with Risk Mitigation: We executed a phased migration, starting with non-critical systems to minimize risks. A hybrid cloud strategy ensured smooth integration with on-premises infrastructure. This approach minimized downtime and preserved operational continuity. Effective Multi-Region Disaster Recovery Setup: A multi-region, multi-cloud setup with automated failover mechanisms ensured uninterrupted financial operations and quick disaster recovery. Real-time replication safeguarded critical data across multiple locations. Advanced-Data Encryption and Compliance Measures: End-to-end encryption, strict access controls, and real-time threat monitoring ensured data security and compliance with industry regulations. Ongoing audits strengthened compliance with changing security standards. Serverless Computing for Real-Time Performance: Serverless computing and dynamic scaling enabled real-time transaction processing, fraud detection, and analytics without performance bottlenecks. AI-based strategies improved resource allocation during peak demand. Automated Monitoring for Cost-Efficient Operations: Automated monitoring tools provided real-time insights, while optimized resource allocation reduced infrastructure costs without compromising performance. Predictive analytics helped proactively identify and resolve potential issues. Outcomes: The implemented solution provided seamless migration, enhanced security, and a future-ready infrastructure for sustained growth. Seamless Transition with Legacy Integration: The phased approach ensured a seamless transition without service disruptions, allowing legacy systems to integrate efficiently. Minimal retraining was required as existing workflows remained largely intact. Continuous Financial Transaction Support during Outages: Multi-cloud resilience and failover mechanisms guaranteed continuous financial transactions, even during outages. Regular testing of disaster recovery protocols maintained operational readiness. Protected Financial Data with Automated Compliance Reporting: Advanced security measures protected sensitive financial data while ensuring compliance with industry regulations. Automated compliance reporting simplified audits and reduced administrative burdens. Optimized Performance & Cost Efficiency: Dynamic scaling maintained high-speed processing while reducing infrastructure expenses through efficient resource management. Workload balancing further enhanced system reliability and responsiveness. Future-Ready Infrastructure: The scalable architecture supports business growth, enabling effortless expansion and adoption of new technologies. The cloud-based framework positioned the client for seamless innovation and digital transformation.

DevSecOps Securing Cloud Infrastructure for Lifesciences Firm Client Background: A multinational medical technology business that specializes in advanced medical equipment and diagnostic tools works in a highly regulated sector and manages private patient data in several different jurisdictions. Securing the cloud environment and protecting sensitive information from evolving cyber threats became imperative as the reliance on cloud infrastructure increased to manage large volumes of data. The firm’s quick growth and expansion across different markets further complicated the security landscape, requiring a more sophisticated and scalable solution. Challenges: With the expansion of cloud infrastructure came several significant security challenges. Increasing complexity in cloud configurations and fluctuating workloads caused visibility gaps, exposing the environment to potential vulnerabilities. The growing global footprint introduced data protection gaps, resulting in breaches and unauthorized access. Despite prioritizing security within DevOps processes, there was a lack of an automated, proactive system to detect and address vulnerabilities early, leaving the organization vulnerable to emerging threats. A scalable security solution was needed to evolve with the infrastructure, providing strong protection without introducing new risks. Our Solutions: We implemented a comprehensive DevSecOps approach that seamlessly integrated security throughout the client’s cloud infrastructure. Cloud Security Posture Management (CSPM) : We deployed a CSPM solution to continuously monitor the client’s cloud environment, detecting misconfigurations, vulnerabilities, and compliance issues in real-time, ensuring constant security. Proactive Threat Detection and Monitoring : Advanced threat detection tools, based on machine learning, provided continuous monitoring for anomalies and potential breaches. This enabled early identification and swift mitigation of threats. DevSecOps Integration : We integrated security into the client’s CI/CD pipeline, automating vulnerability scans during the development lifecycle to minimize risks before code deployment. Data Protection and Access Control : We implemented secure Identity and Access Management (IAM) protocols and encryption for data both at rest and in transit, ensuring that only authorized personnel had access to sensitive information. Scalable Security Framework : Our security measures were designed to scale with the client’s growing infrastructure, adapting seamlessly as the client expanded into new regions and services. Automated Incident Response : Automated workflows were set up for quick containment and mitigation of security incidents, reducing response times and minimizing potential damage. Outcomes: The implementation of these solutions caused significant improvements across several areas: Enhanced Security Posture: CSPM provided continuous monitoring and automated remediation, strengthening the client’s security resilience and minimizing the risk of misconfigurations. Improved Data Protection: Strong encryption and IAM protocols ensured the secure storage and transmission of sensitive patient data, protecting it from unauthorized access and cyber threats. Mitigated Development Vulnerabilities: Integrating security into the DevOps pipeline allowed the client to detect vulnerabilities early, preventing security risks from reaching production. Swift Threat Detection and Response: With advanced threat detection in place, the client was able to quickly identify and respond to security incidents, reducing the risk of successful cyberattacks. Seamless Security Scalability : As the client expanded globally, the security infrastructure adapted to meet new regional challenges, ensuring consistent protection across all environments. Enhanced Compliance and Risk Mitigation: Our security solutions enabled the client to maintain compliance with healthcare regulations, mitigating legal risks and protecting sensitive data.

Camera Engineering Optimizing Image Processing for a Medical Imaging Camera Client Background: Our client, a leading healthcare device manufacturer, specializes in advanced diagnostic imaging systems, including MRI, X-ray, and ultrasound technologies. Their innovative solutions are widely used in hospitals, clinics, and research institutions globally, helping improve diagnostic accuracy and patient care. Focused on equipping healthcare professionals with reliable tools for faster, more accurate decisions, the client continuously strives to integrate cutting-edge imaging technologies into their devices. Challenges: The integration of a high-resolution sensor into their medical imaging camera posed significant challenges. The sensor's large data volumes overwhelmed the system's bandwidth and processing power, resulting in slower real-time image rendering. This caused delays, reduced image quality with blurriness and artifacts, and compromised the speed and accuracy of diagnoses. These issues negatively impacted the system's reliability and the clinicians' ability to make timely, informed medical decisions. To address these challenges, the client sought a comprehensive solution to optimize image processing and balance the sensor's capabilities with system performance. Our Solutions: To overcome the challenges, we delivered a holistic solution that enhanced image processing, improved real-time performance, and ensured system scalability for future advancements. Enhanced Image Processing Algorithms: We implemented advanced algorithms to compress images efficiently without compromising visual fidelity. This improvement enabled faster transmission and processing, benefiting real-time clinical applications. Adaptive Processing Techniques : The system dynamically adjusted resolution and compression based on network bandwidth and processing power, ensuring consistent performance across diverse operating conditions. Seamless Sensor Integration: We optimized the high-resolution sensor's integration, leveraging its capabilities while preventing system overload. This ensured smooth handling of large image datasets and real-time processing demands. Real-Time Data Handling: Streamlined data transmission protocols reduced latency, enabling uninterrupted, real-time image rendering for immediate diagnostic use. Scalable Architecture: The modular system design supports seamless future upgrades, accommodating advancements in sensor technology and evolving medical imaging needs without major infrastructure overhauls. User Interface Optimization: The redesigned, responsive user interface provided intuitive controls, allowing clinicians to navigate the system easily and focus on diagnostics rather than system operation. Outcomes: The implementation of our tailored solution resulted in transformative improvements across multiple facets of the client’s imaging systems: Improved Diagnostic Accuracy: High-quality, detailed images enhanced clinicians' ability to detect subtle anomalies, increasing diagnostic precision and confidence. Faster Imaging and Decision-Making: Real-time image processing reduced delays, accelerating diagnostic workflows and enabling quicker responses to patient needs. Increased Device Reliability: The optimized system consistently managed high data volumes without performance degradation, ensuring dependable operation in critical scenarios. Better Patient Outcomes : Faster, more accurate diagnoses empowered clinicians to deliver timely and precise treatments, improving recovery rates and reducing errors. Reduced Operational Costs: Optimized system performance minimized the need for hardware upgrades, resulting in significant cost savings and better resource allocation. Stronger Market Position: The improved imaging system positioned the client as a leader in healthcare technology, attracting more providers and solidifying their reputation for innovation and reliability.

Regami Solutions empowers your business by unlocking data potential and enabling smarter decisions with scalable pipelines and real-time processing. Home Digital Engineering Data Engineering Acquire Data. Transform Insights. Drive Results. Struggling to achieve ROI from your data? Leverage AI, ML, and deep learning with our data engineering services to turn insights into impactful strategies. Contact Us Today Login to Get Brochure Smart Data Integration Reshapes Global Energy Operations View Case Study Automation Case study Smarter Governance: Centralized Data in Public Sector Agency View Case Stduy Consumer Case study EdTech Platform Elevates Learner Experience Using Real-Time Analytics View Case Stduy EdTech Case Study We offer comprehensive data engineering services designed to transform raw data into actionable insights. Our expertise spans from designing data lakes and warehouses to integrating AI/ML models, ensuring seamless data flow and real-time analytics. Whether you're building new pipelines or modernizing existing systems, our agile methodologies deliver solutions that are scalable, secure, and tailored to your business needs. We leverage cutting-edge technologies like cloud computing, machine learning, and advanced analytics to optimize your data strategy. By focusing on data quality, governance, and security, we enable businesses to make faster, informed decisions and stay ahead in competitive markets. Our proven data engineering process ensures successful data-driven initiatives. We start by understanding your goals, collecting and cleaning data, then integrating it for analysis. Insights are visualized for action, and we continuously monitor and optimize the solution post-deployment. Our Data Engineering Services Name* Email* Service Required* Service Required Short answer Schedule a consultation with our experts. Submit Data Engineering Data Lakes & Data Warehouse Design Design and build scalable data lakes and warehouses to store and access large datasets efficiently. Centralize your data with advanced technologies for efficient access and analytics. Know More Data Engineering ETL/ELT & Migrations Improve your data integration with automated ETL/ELT workflows. We help you migrate data to cloud-based solutions while maintaining data integrity and consistency. Know More Data Engineering Data Integration & Analysis Efficiently combine data from multiple sources to create a unified view. Our integration services ensure accurate data flow, enabling faster, more accurate analytics. Know More Data Engineering Data Management & Governance Ensure your data is secure, accessible, and compliant. We implement governance frameworks that prioritize data privacy, security, and regulatory compliance. Know More Data Engineering DataOps & AI/ML Integration Increase collaboration and accelerate the data lifecycle with DataOps practices. We integrate AI/ML capabilities to deliver predictive insights and data-driven decisions. Know More Data Engineering Data Science Apply data science to drive innovation. Our data scientists build models that provide actionable insights, helping you optimize business strategies and decision-making. Know More Solving Data Engineering Complexities with Reliable Solutions Data Privacy and Security Achieving compliance with GDPR, HIPAA, and CCPA requires end-to-end encryption, secure storage, and ongoing monitoring to prevent data breaches. Scalability of Data Systems Organizations need scalable systems to process growing datasets from IoT, e-commerce, and social media, ensuring adaptability and efficiency. Data Integration from Multiple Sources Integrating disparate platforms' siloed data allows for more comprehensive insights and enhances organizational decision-making. Real-time Data Processing Real-time processing frameworks are essential for industries like finance and healthcare, ensuring timely decisions from actionable insights. Complex Data Migration Moving data to modern systems requires consistency, minimal disruption, and robust validation for error-free transitions. Data Quality and Accuracy Businesses can make decisions based on accurate, verified, and actionable data thanks to strong data quality frameworks. Balancing Security & Compliance Across International Retail Markets Managing data privacy is more critical than ever with the rise in sensitive information processing. Companies need to protect their data while following stringent international privacy laws, which calls for creative solutions to run safe and legal operations. View Case Study Solving Automotive Data Challenges with Scalable Telemetry Systems Data systems must respond effortlessly to meet greater demands and real-time analytics needs. Cloud-native architectures offer flexibility, enabling businesses to process dynamic workloads without compromising speed or accuracy. View Case Study Financial Institution Unifies Disparate Data Sources Unifying data from multiple sources is challenging, but efficient integration ensures accurate insights, streamlines workflows, and enables better decisions. Breaking down data silos provides a holistic view, improves real-time analytics, and supports informed decision-making across departments. View Case Study Healthcare Diagnostics Enhanced with Real-Time Data Integration Real-time data processing is necessary due to the need for immediate insights. Advanced frameworks facilitate quick decision-making, which is essential for sectors like healthcare and finance that rely on accuracy and speed. View Case Study Insurance Provider Ensures Seamless Claims Data Migration A leading insurance provider migrated policy and claims data to a secure cloud platform, enhancing accessibility, streamlining claims processing, and ensuring regulatory compliance. View Case Study Inventory Mastery: Achieving Retail Accuracy and Customer Loyalty Decision-making and trustworthy analytics are supported by high-quality data. Businesses can realize the full value of their data by putting strict validation and cleaning procedures in place, which guarantee consistency. 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 Managing Your Data with Scalable and Secure Solutions Scalable Solutions Adapt to growing data needs with flexible, cloud-based data infrastructure. Data Quality Maintain high data quality with automated validation and cleaning processes. Faster Insights Improved data pipelines and real-time analytics can speed up decision-making. Enhanced Security Maintain regulatory compliance and strong security measures to safeguard sensitive data. Regami's SDK Resources Clarity+ LPR SDK Percepta OCR SDK Dexter+ Barcode SDK Vektor+ Facial Recognition SDK Optiva+ Iris Recognition SDK Advanced Tech Stack for High-Performance Solutions Programming and Frameworks Languages Java Python SQL Scala Go (Golang), R Julia Rust JavaScript Frameworks TensorFlow Scikit-learn Keras Pandas PyTorch Spark MLib Apache Airflow DBT (Data Build Tool) Prefect Dagster Matplotlib Numpy Seaborn Theano Data Processing and Integration Data Integration Tools Apache Nifi Talend Informatica Stitch Fivetran MuleSoft SnapLogic Data Pipeline Orchestration Apache Kafka AWS Step Google Cloud Dataflow Azure Data Factory Luigi Oozie Streaming Data Technologies Apache Flink Apache Storm Amazon Kinesis Google Cloud Pub/Sub Data Storage and Cloud Platforms Cloud Platforms BigQuery Redshift Snowflake Databricks Azure Synapse Analytics Kubernetes OpenShift Data Storage MongoDB PostgreSQL Google Cloud AWS S3 Apache Hive Cassandra Redis Elasticsearch Oracle RDBMS SQL Server Neo4j Hadoop Distributed File System (HDFS) Visualization, Governance, and Advanced Technologies Data Visualization Tableau Power BI Grafana D3.js Apache Superset Microsoft Excel Plotly Data Governance & Quality Apache Atlas Collibra Talend Data Quality Great Expectations AWS Glue Data Catalog Advanced Technologies Artificial Intelligence Machine Learning Hyper Automation Cloud Computing Robotic Process Automation Edge Computing Real-Time Analytics DataOps 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 Apply advanced data engineering to accelerate research, streamline patient care, and optimize clinical workflows in the healthcare and life sciences sectors. Read More Retail & Consumer Use the capabilities of data engineering to enhance customer experiences, optimize inventory management, and drive personalized marketing strategies in retail and consumer industries Read More Transportation & Smart City Enable smarter transportation systems and efficient urban management through data-driven solutions that improve mobility, safety, and resource allocation in smart cities. Read More Robotics & Automation Apply modern data engineering to enhance automation processes, streamline robotics operations, and improve decision-making with real-time analytics. 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 Expand healthcare and insurance sectors by applying data engineering to improve risk management, enhance patient care, and streamline claims processing. Read More Related Insights in Data Engineering Blogs Understanding the Importance of Data Governance in Modern Enterprises Learn how effective data governance practices ensure secure, compliant, and accurate data for enterprises. Read More Blogs How AI and Machine Learning are Transforming Data Engineering Find out how AI/ML integration enhances data pipelines and decision-making in industries like healthcare and retail. Read More Blogs The Evolution of Data Lakes: Why Your Business Needs One Understand how data lakes provide the flexibility and scalability needed to store and analyze massive datasets. Read More Related Services Digital Engineering Cloud Engineering We help you migrate and manage data in the cloud, ensuring secure and efficient cloud infrastructure. Know More Digital Engineering Product Engineering Transform ideas into actual products with our end-to-end product engineering solutions. Know More Digital Engineering DevSec Ops We incorporate security into each step of your development process to guarantee strong data security. Know More Still Have Questions? We are Ready to Help! First name* Email* By submitting, you also agree to receive our newsletter. Submit

Artificial Intelligence Optimizing Supply Chain Operations with AI-Driven Forecasting Client Background: A leading global retail chain operates a vast network of suppliers, warehouses, and distribution centers. Serving millions of customers daily, it manages a diverse catalog of products across multiple regions. The company faced increasing challenges due to fluctuating demand patterns influenced by seasonal shifts, market trends, and regional preferences. With growing complexity in its operations, it looked for a data-driven solution to align demand with supply more effectively while improving overall efficiency. Challenges: The client struggled with inefficiencies in demand forecasting, inventory management, and logistics planning. Traditional methods failed to adapt to dynamic market conditions, leading to overstocking, stockouts, and increased operational costs. Inefficient inventory management escalated storage expenses while missed sales opportunities hurt revenue. Procurement delays and poor supplier coordination disrupted replenishment schedules, creating shipment delays that frustrated customers. Additionally, managing supply chain complexities across diverse regions underscored the need for an intelligent and scalable solution to support growth and evolving business requirements. Our Solutions: We implemented a custom-built artificial intelligence-based forecasting platform designed to enhance supply chain decision-making. Accurate Demand Prediction: The platform used advanced AI models to analyze historical sales data and external variables like market trends, providing actionable insights into future demand. This allowed the client to make timely adjustments to their procurement and production strategies. Streamlined Inventory Management: The system identified optimal stock levels, reducing unnecessary holding costs and ensuring products were always available where needed. It also offered immediate alerts for inventory adjustments to avoid disruptions. Real-Time Supplier Integration: A unified platform enabled seamless communication with suppliers, facilitating faster replenishment and improved stock availability. This ensured suppliers had sufficient lead time to fulfill orders efficiently. Localized Market Insights: AI algorithms analyzed seasonal and regional trends, allowing the client to adapt stock levels and assortments to meet specific market demands. These insights helped the client customize offerings for different regions. Scalable Architecture: The solution was designed to grow with the client, accommodating expanding operations and increasing product diversity without disruption. It supported integration with new tools and technologies for future improvements. Outcomes: The AI-based forecasting platform transformed the client’s supply chain by addressing the main obstacles and delivering real benefits. Enhanced Planning: The client gained accurate demand forecasts, enabling them to align production and inventory with actual customer needs. This improved their ability to anticipate and prepare for market fluctuations. Optimized Stock Levels: Inventory was maintained efficiently, reducing waste and ensuring the availability of critical products at all times. This contributed to significant savings in operational costs. Improved Customer Experience: On-time deliveries became more consistent, leading to better customer satisfaction and loyalty. Positive feedback from customers also strengthened the brand’s reputation. Operational Efficiency: Automated forecasting processes reduced the time required for planning, freeing up resources for strategic initiatives. Supply chain managers could focus on long-term goals rather than resolving day-to-day issues. Scalability and Flexibility: The platform supported the client’s expansion into new markets and product categories, ensuring smooth operations and long-term adaptability. Its scalability provided confidence for further growth initiatives.

Enterprise Platform Services Securing a Healthcare Platform Client Background: The organization is a global healthcare provider managing sensitive patient data through an online platform. With operations spanning multiple regions, the client faced stringent regulatory requirements, including HIPAA compliance, to protect patient privacy and ensure secure data handling. Their platform served thousands of healthcare professionals and patients worldwide, making security a top priority. As the platform expanded, so did the risks associated with managing large volumes of sensitive medical information. The healthcare provider needed an advanced solution to meet these compliance standards and protect patient data from potential thefts. Challenges: The client faced significant security risks in maintaining the privacy and integrity of sensitive patient data across their healthcare platform. Ensuring HIPAA compliance while scaling their platform for global use added complexity to their security requirements. The system needed to be secure, scalable, and capable of handling confidential patient data with minimal vulnerability. Without a solid security strategy, the platform was exposed to potential data breaches, regulatory penalties, and reputational damage. They required an efficient solution that could protect against cyber threats while maintaining simple service for users. Our Solutions: We developed a comprehensive security framework to ensure HIPAA compliance and fortify the client’s platform against data breaches. HIPAA Compliance Assessment: We conducted a thorough review of the platform to ensure all systems met HIPAA standards, focusing on data protection and patient privacy. This assessment identified potential gaps and laid the foundation for implementing necessary security protocols. Advanced Encryption Protocols: We implemented complete encryption for all data transmissions, ensuring that patient data remained secure during storage and transit. This encryption provided an added layer of protection, protecting data from unauthorized access at every touchpoint. Multi-factor Authentication: To enhance user access control, we integrated multi-factor authentication (MFA) for all users, reducing the risk of unauthorized access to sensitive data. MFA further strengthened user verification, ensuring that only authorized personnel could access critical information. Regular Security Audits: We established a routine security audit process to monitor and address vulnerabilities, ensuring the platform remains compliant and secure over time. These audits helped proactively identify potential weaknesses and mitigate risks before they could compromise the system. Data Breach Prevention Strategy: We designed proactive security measures, including intrusion detection systems, to quickly identify and mitigate any potential events before they could impact patient data. Continuous monitoring enabled us to stay ahead of emerging threats and respond swiftly to any security incidents. Outcomes: Our security solution reinforced the healthcare platform’s defenses, ensuring HIPAA compliance and protecting sensitive patient information. Compliance with HIPAA Standards: The platform met all HIPAA requirements, allowing the healthcare provider to operate globally while ensuring patient privacy. This compliance ensured that the platform could scale internationally without compromising regulatory standards. Enhanced Data Security: The implementation of encryption and access controls significantly reduced the risk of unauthorized access to patient data. As a result, the platform's overall security posture was greatly improved, keeping sensitive patient information safe from potential threats. Reduced Risk of Data Breaches: Proactive attack prevention strategies and real-time monitoring helped prevent any data breaches, protecting both the platform and its users. The platform’s continuous vigilance against security threats provided an additional layer of trust for both patients and healthcare professionals. Improved User Trust: Strengthening security measures improved user confidence in the platform, fostering trust among patients and healthcare professionals. The added layer of protection reassured users that their sensitive data was handled with the utmost care. Regulatory Peace of Mind: Ongoing compliance and security audits ensured the platform maintained its regulatory standing, minimizing the risk of penalties or legal issues. Regular evaluations gave the healthcare provider peace of mind, knowing that their platform was always compliant and secure.

OCR Revamping Insurance Claim Processing Client background: Our client is a major national insurance company specializing in personal and commercial insurance products. They provide health, vehicle, and home insurance services across the country. As their client base developed, they encountered difficulties in handling a significant amount of insurance claims. The manual claims processing approach resulted in considerable delays, mistakes, and increased operating expenses. Regami Solutions was contacted by the client to enhance their claims processing process. Regami had to figure out how to improve and expedite the procedure. Challenges: Given the growing volume and complexity of claims, the client's manual insurance claim processing system was proving to be unsustainable. The lack of automation led to delays, frequent errors, and rising operational costs as data had to be manually extracted from various claim formats. To fix these issues, the client required an extensive solution that could eliminate human interaction, improve data quality, and speed up the claims processing cycle. Regami Solutions was tasked with implementing an advanced technology solution that would effortlessly integrate with their existing infrastructure and optimize claims processing efficiency. Our Solutions: Utilizing OCR technology, we deployed our own AI platform, Percepta, to speed up the client's insurance claim procedure. Automated Data Extraction via Percepta OCR : Percepta OCR facilitated the automatic extraction of critical data from a range of claim-related documents, such as forms, medical records, and invoices. This reduced manual data entry, minimized errors, and streamlined data capture, significantly enhancing processing speed and accuracy. Reduction in Processing Time: By automating data extraction and categorization, the solution accelerated claims handling, cutting down the time required for claim approvals and resolution, thus improving operational efficiency and expediting service delivery. Easy Integration with Existing Systems: Percepta OCR was integrated effortlessly into the client's legacy claims management systems, ensuring a smooth implementation process. This integration minimized system disruption and provided a swift transition to the automated solution, ensuring business continuity. Scalability for Increasing Claim Volume: The solution’s scalability allowed the client to efficiently manage growing claim volumes without the need for additional manual resources, ensuring operational agility and supporting business growth. Enhanced Data Accuracy and Reduced Errors: The Percepta OCR system significantly improved data accuracy by reducing manual data input errors. This resulted in a more reliable and consistent claims processing workflow, minimizing the need for manual corrections and improving the overall quality of data. Analytics for Informed Decision-Making: Percepta OCR provided actionable insights and performance metrics, enabling the client to track claim data, identify process inefficiencies, and make data-driven decisions to improve the overall claims management process. Outcomes: The implementation of Percepta OCR resulted in significant improvements in our client's claims processing operations: Significant Reduction in Claim Backlog: By automating the claims processing workflow, the client was able to significantly reduce the claim backlog, ensuring quicker resolution and fewer delays in processing pending claims. Increased Claims Throughput: With automated data extraction and categorization, the client saw an increase in the number of claims processed per day, improving overall throughput and enhancing operational efficiency. 30% Reduction in Operational Costs : Automation reduced the reliance on manual labor, leading to a 30% decrease in operational costs. This enhanced overall operational efficiency and contributed to long-term cost savings. Enhanced Customer Satisfaction: T he reduced claims processing time and higher data accuracy contributed to improved customer satisfaction, with faster and more accurate claim settlements driving higher levels of trust and loyalty. Scalable Solution for the Future: The solution provided the scalability necessary to accommodate increased claims volumes, allowing the client to grow their business without the need to invest in additional manual resources. Improved Compliance and Risk Management: The Percepta OCR system ensured that claims were processed in compliance with industry regulations, reducing the risk of errors and compliance violations and maintaining the client’s reputation within the industry.

Regami offers fine DevSecOps solutions to integrate security across the entire software development lifecycle to Ensure robust and seamless protection. Home Digital Engineering DevSec Ops Agile Development. Built-in Security. Seamless Operation Empower your team with DevSecOps, a seamless integration of security, development, and operations. Shift left, prevent risks early, and ensure your software is secure at every stage of development. Contact Us Today Login to Get Brochure Automating Compliance for Financial Institutions with DevSecOps View Case Study Automation Case Study Enhancing Application Security in a Global Retail Chain View Case Study Security Case study Secure CI/CD Pipelines for a Healthcare Technology Provider View Case Study Healthcare Case study DevSecOps integrates security into every phase of the DevOps lifecycle, from planning to production, by shifting security responsibilities earlier in the process. This proactive strategy reduces the risk of vulnerabilities in the final product, with a focus on collaboration across teams. Continuous integration, testing, and delivery are emphasized to detect and resolve security issues before they become costly or disruptive, ensuring secure, high-quality software. At Regami, we embed security throughout the software development lifecycle, ensuring vulnerabilities are identified and addressed early. Our DevSecOps benefits include secure development pipelines, automated scans, real-time threat detection, and continuous monitoring, enabling faster and more secure deployments. By fostering collaboration between development, operations, and security teams, we deliver high-quality, secure software with speed and efficiency. Protecting Every Layers: Comprehensive DevSecOps Solutions Name* Email* Service Required* Service Required Short answer Schedule a consultation with our experts. Submit DevSecOps Software Composition Analysis (SCA) Comprehensive service to identify and manage vulnerabilities in open-source components, ensuring secure software development. Know More DevSecOps Infrastructure as Code (IaC) Security Secure your infrastructure configurations as code, preventing security misconfigurations and vulnerabilities in automated setups. Know More DevSecOps CI/CD Security Integrate strong security practices into your continuous integration and deployment pipelines to detect and fix threats early. Know More DevSecOps Container Security Protect containerized applications from vulnerabilities, ensuring a secure environment for your microservices architecture. Know More DevSecOps Vulnerability Management Continuously identify, prioritize, and remediate vulnerabilities across your software stack to minimize security risks. Know More DevSecOps Cloud Security Posture Management (CSPM) Maintain secure cloud configurations and compliance by continuously monitoring and optimizing your cloud environments. Know More Decoding DevSecOps: Tackling the Challenges Ahead Securing Patient Data and Compliance Ensuring the protection of sensitive patient data while maintaining compliance with regulations like HIPAA requires robust security in cloud-native applications. Securing Customer Data in E-commerce Platforms Protecting customer data and maintaining secure transactions while scaling e-commerce platforms requires continuous vulnerability management and cloud security. Securing IoT Devices and Urban Infrastructure With the growth of smart cities, securing the communication between IoT devices and urban infrastructure is critical for operational safety and data privacy. Protecting Automation Systems from Cyber Threats As robotics and automation evolve, securing machine-to-machine communication and automated systems from cyberattacks becomes paramount. Securing Connected Vehicles and Automotive Systems With the rise of connected vehicles, securing communication channels and maintaining safety standards is crucial to avoid security breaches. Securing Sensitive Health and Insurance Data Protecting personal health information (PHI) and insurance data from cyber threats is critical for compliance with regulations and ensuring client trust. Securing Cloud Infrastructure for a Lifesciences Firm A global medical technology company partnered with us to implement cloud security posture management (CSPM), ensuring HIPAA compliance and safeguarding sensitive patient data in their cloud environment. View Case Study Vulnerability Management for an E-commerce Leader We helped a major retailer implement vulnerability scanning and remediation strategies across their CI/CD pipelines, reducing security risks during flash sales and ensuring secure online transactions. View Case Study IoT Security for Smart City Projects Our team helped a city transportation authority enhance their container security and infrastructure as code (IaC) security practices, protecting their smart infrastructure from cyber threats. View Case Study Robotics Security for Automated Manufacturing A leading robotics manufacturer utilized our CI/CD security solutions, ensuring continuous integration practices were secure and automated systems were protected from evolving threats. View Case Study Container Security for Connected Vehicles We assisted an automotive company in implementing container security and cloud workload protection (CWP) to safeguard their connected vehicle systems from vulnerabilities and data breaches. View Case Study Cloud Security for Healthcare Insurance We partnered with a health insurance provider to implement cloud security posture management (CSPM) and vulnerability management, ensuring HIPAA compliance and safeguarding customer data in the cloud. 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 What Sets Regami Apart: The Hidden Drivers of Its Success Autonomous Security Our ML engine ensures effective remedial actions, embedding security from the start. Predictive Development Automation and predictive threat management prevent system anomalies before they occur, ensuring faster, secure releases. Efficient Risk Mitigation Proactive security measures detect vulnerabilities early, reducing costly fixes and breaches. Collaborative Awareness Regami’s cross-team collaboration and 360-degree monitoring provide complete visibility, enabling faster, high-quality solutions. Regami's SDK Resources Clarity+ LPR SDK Percepta OCR SDK Dexter+ Barcode SDK Vektor+ Facial Recognition SDK Optiva+ Iris Recognition SDK Advanced Tech Stack for High-Performance Solutions CI/CD Jenkins Azure DevOps GitLab CodeFresh Atlassian Bamboo Registries Harbor Amazon ERC Azure ACR JFrog Artifactory Google Container Registry (GCR) Red Hat Quay Container & Serverless Red Hat OpenShift AWS Fargate Amazon Elastic Container Service for Kubernetes (EKS) Google Kubernetes Engine (GKE) Azure Kubernetes Service (AKS) AWS Lambda Cloud & Security Tools AWS Google Cloud Microsoft Azure Oracle Cloud AWS Security Hub Sumo Logic 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 DevSecOps integrates security into healthcare software development, ensuring compliance and speeding up the delivery of safe, regulated solutions. Read More Retail & Consumer By embedding security from the start, DevSecOps enables the secure and rapid rollout of innovative retail platforms that safeguard customer information. Read More Transportation & Smart City DevSecOps enhances the security of smart city and transportation technologies, ensuring safe, efficient real-time data processing for urban infrastructure. Read More Robotics & Automation With DevSecOps, security is built into the lifecycle of robotic systems, ensuring safe and reliable automation across industries. 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 DevSecOps streamlines secure development in healthcare and insurance applications, ensuring privacy and compliance while improving service delivery. Read More DevSecOps Insights: Stay Ahead of the Curve Blogs Balancing Speed and Security: The DevSecOps Dilemma Delve into the challenge of maintaining fast deployment cycles without sacrificing security and the best practices for achieving both. Read More Blogs Managing Security in a Multi-Cloud DevSecOps Environment Address the complexities of securing applications and data across multiple cloud platforms and the tools that can simplify the process. Read More Blogs Future-Proofing DevSecOps: Trends to Watch Stay ahead with emerging DevSecOps trends that are reshaping how security is integrated into development processes for long-term resilience. 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Data Engineering Solving Automotive Data Challenges with Scalable Telemetry Systems Client Background: With a focus on connected vehicles, a major global automobile manufacturer runs a sizable fleet of millions of vehicles installed with Internet of Things sensors that gather and send real-time telemetry data. By tracking everything from safety features to vehicle performance, these sensors provide insightful information that improves both driving safety and enjoyment. The organization, which is dedicated to being at the forefront of innovation, aimed to enhance its capacity to handle and analyze the enormous amounts of data produced every day, guaranteeing scalability and effectiveness as its data requirements increase. Challenges: Data overload and storage management were the company's biggest problems. The massive amount of telemetry data produced by millions of connected vehicles easily overwhelmed the capability of the storage infrastructure that was in place, which was not scalable enough to effectively manage present and future data expansion without impairing system performance. Along with data overload, the organization also had to deal with uneven data quality because of chaotic, vague, or incomplete telemetry data from IoT devices, which made it difficult to get reliable insights for safety and optimization. Latency delayed critical decisions, while scattered data across systems complicated integration. The company also needed scalable infrastructure to support fleet growth. Our Solutions: We developed a cloud-native, scalable telemetry system designed to handle dynamic workloads and future data growth needs. Scalable Cloud Storage Architecture : Developed a flexible cloud-based storage system capable of handling large-scale data volumes while ensuring efficient data retrieval and scalable storage, supporting future growth as the company’s fleet expands. Real-Time Telemetry Data Cleansing System: Created an automated pipeline to clean, filter, and validate telemetry data in real time, ensuring that only high-quality data is processed for accurate insights and analysis. Centralized Data Integration Engine : Built a unified platform to gather and synchronize data from various sources, creating a centralized data lake that facilitates smooth access for analysis, reporting, and decision-making across departments. Scalable Infrastructure for Machine Learning Deployment: Constructed a flexible and scalable infrastructure for deploying advanced machine learning models, enabling predictive analytics that offer deeper insights into vehicle performance and maintenance needs. Outcomes: The automotive giant successfully transitioned to a scalable telemetry system, enabling real-time analytics and future-proofing its data infrastructure. Enhanced Data Storage & Efficiency: The cloud-based solution optimized data storage, offering both scalability and efficiency, while preparing the system to accommodate future data expansion without performance degradation. Elevated Data Quality & Consistency: The real-time data cleansing pipeline ensured that only accurate, high-quality data was used for analysis, improving decision-making and supporting reliable insights into vehicle safety and performance. I nstantaneous Insights with Minimal Latency: By implementing a low-latency stream processing system, the company can now act on telemetry data instantly, significantly enhancing responsiveness, especially in safety-critical scenarios. Future-Ready Data & ML Framework: The scalable infrastructure lays a strong foundation for future data growth, ensuring that the company remains equipped to drive innovation in predictive analytics and machine learning applications for vehicle performance optimization.

Product Engineering Improving Patient Monitoring with Scalable IoT Solutions Client Background: The client is a leading healthcare provider specializing in advanced medical technologies to deliver high-quality patient care. They operate a network of hospitals and care centers across the country, with patient monitoring systems playing a crucial role in providing real-time insights into patient vitals and conditions. As patient volumes increased due to the expansion of their healthcare network, the client faced significant challenges in scaling their monitoring system to manage growing data loads and ensure consistent care delivery. Challenge: As the client expanded its healthcare network, their existing patient monitoring system faced several challenges. Scalability issues led to slow data processing and delayed monitoring, as the system struggled to manage the growing number of patients and devices. Integration across different facilities was lacking, hindering the consolidation of data for a unified view of patient health. Real-time data delays resulted in slower response times for critical interventions, affecting care quality. Additionally, managing large volumes of patient data became difficult, and manual processes added to operational inefficiencies, increasing the workload for healthcare staff. Our Solution: To overcome these challenges, Regami designed and implemented a scalable IoT solution tailored to the client’s needs: IoT-Enabled Sensors: IoT sensors were integrated to continuously collect key patient data, such as heart rate, blood pressure, and oxygen levels. These sensors enabled real-time data transmission to support timely interventions. Cloud-Based Data Integration: A cloud-based architecture was implemented to consolidate patient data from multiple facilities, ensuring seamless access to updated information and enabling efficient decision-making. Advanced Analytics: The system incorporated real-time analytics to assess patient data continuously and detect abnormalities, allowing healthcare providers to act proactively and prevent critical situations. Scalability: The solution was designed to scale effortlessly, accommodating the increasing number of patients and devices while ensuring smooth integration as the client’s network expanded. Automated Alerts and Responses: Predefined thresholds for vital signs were configured to trigger automatic alerts, ensuring swift responses to critical conditions and reducing the need for constant manual monitoring. Outcome: The implementation of the IoT solutions addressed the client’s challenges effectively and delivered significant improvements across their healthcare network: Improved Monitoring Efficiency: Real-time data collection enabled continuous and efficient patient monitoring, ensuring quicker identification of health issues and faster response times. Seamless Data Management: The cloud-based solution provided a unified view of patient health data, improving coordination among healthcare staff and reducing the likelihood of missed critical information. Faster Response Times: Automated alerts ensured immediate action in response to abnormal vitals, improving patient outcomes and enabling life-saving interventions. Enhanced Scalability: The scalable system supported the client’s expanding operations seamlessly, ensuring consistent performance as new patients and devices were added. Reduced Operational Costs: The automation of data collection, analytics, and alerts optimized workflows, reduced manual errors, and lowered operational costs.

Cloud Engineering Multi-Cloud Integration for E-Commerce Growth Client Background: An e-commerce platform serving a diverse global customer base faced challenges due to a fragmented cloud infrastructure spread across multiple service providers. This resulted in scalability issues, poor performance, and high latency. As the demand for faster, more reliable service grew, the business sought to consolidate its infrastructure, improve cloud performance consistency, and simplify operations to deliver an enhanced user experience. Challenges: The client’s multi-cloud infrastructure resulted in data transfer inefficiencies, poor scalability, and operational complexity. Data silos limited real-time access, affecting decision-making. Regional performance issues resulted in inconsistent user experiences, while unpredictable billing made cost management challenging. Ensuring compliance with global data protection regulations added further complexity. Our Solutions: To support our client’s expanding international presence and improve operational efficiency, we implemented cloud solutions that optimized scalability, flexibility, and performance. Multi-Cloud Strategy Design: We developed a secure multi-cloud strategy that integrated the client's infrastructure with both public and private clouds, improving performance, scalability, and cost-effectiveness across multiple service providers. Centralized Cloud Management: A unified cloud management platform was introduced to provide real-time monitoring and centralized control over resources, simplifying management and enhancing operational efficiency. Seamless Data Integration: We executed a smooth data migration plan that consolidated siloed systems, allowing for centralized data access and improved real-time business insights across global operations. Performance Enhancement: Advanced routing and CDN integration were deployed to reduce latency, ensuring a faster and more consistent user experience worldwide, even during traffic spikes. Cost & Security Optimization: Dynamic scaling was implemented to adjust resources based on demand, while a comprehensive security framework ensured compliance with global data protection regulations, securing sensitive customer data. Outcomes: The results speak for themselves. By overcoming the challenges of multi-cloud integration, we not only met the objectives but also laid the foundation for sustained success and scalability for our client’s e-commerce platform's future growth. Enhanced Platform Performance: Reduced latency and faster response times caused an improved user experience across regions. Effective resource allocation further minimized load times and ensured quick, seamless access. Cost Reduction: Cloud resource optimization and automated scaling achieved a 20% reduction in costs, efficiently allocating resources based on real-time demand to prevent waste during peak and off-peak times. Scalable Infrastructure: The multi-cloud environment supported seamless horizontal and vertical scaling, enabling the system to handle surges in traffic without performance loss, ensuring smooth operations and global redundancy. Improved Operational Efficiency: Centralized data management improved real-time decision-making and streamlined inventory management, improving collaboration across departments for more aligned business initiatives. Strengthened Security & Compliance: Enhanced security protocols, including encryption and automated monitoring, ensured secure data protection and compliance with GDPR, CCPA, and other international standards, fostering trust with users.

Experience Transformation User-Centric UI for a Healthcare App Client Background: Known for providing a wide range of medical solutions, from standard checkups to specialty treatments, our client is a reputable healthcare service provider who has been dedicated to enhancing the patient experience through innovative technology. Despite the efforts, their existing app interface was falling short of meeting the needs of its diverse user base, which includes both individual patients and healthcare professionals. Our client’s objective was to provide a smooth, user-friendly experience that would improve the entire healthcare process and speed up encounters. Challenges: The healthcare app encountered multiple issues that impacted its user experience. The complicated interface made it difficult for patients to navigate critical services like appointment booking, prescription management, and consultation scheduling. Healthcare professionals also found the app’s design unintuitive, leading to workflow inefficiencies and delays in care. Additionally, the app lacked important accessibility features, such as clear visual cues and easy-to-read fonts, which made it less user-friendly for elderly patients and those with disabilities. The challenge was to simplify the app's interface, improve usability, ensure regulatory compliance, and incorporate accessibility features for users with diverse needs. Our Solutions: Here are the solutions we implemented to enhance the healthcare app’s user interface and meet the diverse needs of patients and healthcare providers: Simplified User Flow: We rebuilt the app’s interface to produce a more straightforward, intuitive flow. Patients can now conveniently schedule appointments, view prescriptions, and manage medical records with fewer clicks because of the simplification of the processes required to access crucial functions. Patient-Centric Design: The design was altered to prioritize the interests of the patients, providing a customized dashboard that shows upcoming appointments, medication reminders, and easily accessible health data. This makes it easy for patients to track their health journey. Accessible UI Improvements: Following WCAG guidelines, we made the app accessible to older users and those with impairments by implementing voice-assisted navigation, bigger font options, and high-contrast color schemes. Healthcare Professional Dashboard: We simplified the provider dashboard by integrating prescription management, medical notes, and real-time patient updates into one easy-to-use interface, enhancing efficiency in healthcare delivery. Multi-Platform Communication: The app now connects effortlessly across various platforms, including SMS, email, and in-app notifications. This ensures that both patients and healthcare providers are promptly informed about appointment changes, reminders, and important health updates. Instant User Feedback: A new real-time feedback feature allows patients to rate their appointments, consultations, and overall app experience. This provides the client with actionable insights, driving continuous improvements in the app's functionality and user satisfaction. Outcomes: Regami's user-centric UI transformation has driven significant improvements in the healthcare app's performance, benefiting both patients and healthcare providers. Below are the key outcomes of this redesign: Increased User Satisfaction: Following the upgrade, patient feedback considerably increased. Many users mentioned better navigation and a more intuitive design, which led to a more enjoyable and less frustrating interaction with the app, increasing engagement and retention. Increased Efficiency for Healthcare Providers: Through the upgraded dashboard, healthcare providers are able to conveniently access patient details, schedule consultations, and update prescriptions, saving them an immense amount of time. Healthcare professionals can now devote more time to patient care because of the upgrade. Enhanced Accessibility: The app has become more inclusive with features tailored to meet the needs of elderly and disabled users. The redesigned interface includes larger text, voice commands, and clearer navigation, allowing a wider range of patients to access healthcare services effortlessly and independently. Decreased Drop-off Rates: The user-centric flow and simplified interface have considerably decreased app abandonment rates. Simple navigation makes it easier for users to finish tasks like scheduling appointments and managing prescriptions, which eventually increases user engagement and retention. Improved Task Completion and Navigation: The redesigned UI has made it easier for both patients and healthcare providers to navigate the app and complete essential tasks. The more intuitive flow has enhanced overall user satisfaction, resulting in more efficient completion of tasks and less frustration during use. Better Patient-Provider Communication: The improved UI has facilitated smoother and more effective communication between patients and healthcare providers. Features like real-time updates and easier messaging have allowed for more timely responses, fostering stronger collaboration and improving overall care management.