Roxiler Helps US Healthcare Tech Firm Scale Its Flagship Product
Service:
Product Engineering
Company:
InMed AI Prognostic
Location:
United States
InMed AI is a global health-tech company specializing in AI-powered medical imaging solutions. Their FDA-cleared product, NeuroShield™, supports the early diagnosis of neurodegenerative diseases through automated brain volume analysis. With a focus on precision medicine, InMed AI enhances clinical decision-making across neurology, oncology, and body composition analyIsis.
Although the client had strong expertise in segmentation, AI, and machine learning (ML), they faced significant challenges in building and maintaining a scalable, efficient, and user-friendly platform. They lacked the necessary front-end and back-end development skills to create a robust infrastructure capable of handling large volumes of data and supporting real-time analytics, which are crucial for their product’s effectiveness.
The Challenge
- Scalability
- Performance Efficiency
- User Interface
- Data Security
- Cost Optimization
Our Impactful Actions
Roxiler provided comprehensive IT services to address these challenges. We focused on creating a scalable, maintainable, secure, efficient, and user-friendly platform.
Scalability with AWS
We leveraged Amazon Web Services (AWS) and specifically implemented AWS Batch to achieve scalability for data processing. This allowed the platform to scale automatically based on workload demands. It ensured consistent performance even as data volumes increased.
Server-Side Ecosystem Engineering
Roxiler developed a robust backend to increase the capacity of handling the extensive requests and data processing tasks by utilizing Node.js. This ensured that the platform could manage large requests and data processing effectively.
Data Security Enhancement
Implemented a comprehensive security strategy that includes firewalls and Virtual Private Servers (VPSs). Hardened the servers to prevent unauthorized access. Encrypted data within the database to protect sensitive information. Established secure storage solutions for data storage, ensuring all data is protected against breaches.
Cost Optimization
Implemented AWS Batch to handle varying workloads efficiently. Utilized auto-scaling with low-size servers to manage fluctuating loads without over-provisioning. Purchased reserved instances based on consistent load patterns to reduce costs significantly.
Interactive User Interface Development
We built a dynamic, responsive, and intuitive user interface by leveraging React.JS technology. This made it easier for neurologists and other healthcare professionals to interact with the platform and view the MRI analysis with access to critical patient data.
Benefits Achieved by Customer
The implementation of the new platform resulted in significant benefits
Improved Scalability
The AWS-based system scaled effortlessly to accommodate growing data volumes and demand.
50% Reduction in Processing Time
The enhanced infrastructure halved the time required to process MRI data to provide quicker diagnostic reports.
Enhanced Usability
The new user interface made it easier for healthcare professionals to navigate the platform and access essential data.
Data Security
Strengthened data protection through firewalls, VPSs, server hardening, data encryption, and secure data storage.
Cost Optimization
Reduced operational costs through AWS Batch, auto-scaling, and reserved instances, which allowed the client to allocate resources more efficiently and cost-effectively.
Technologies we used
What our Client Says
