Azilen Technologies

The client had an initial concept of a centralized repository to reduce administrative overhead with data processing capabilities through seamless data analytics and reporting.

A cloud-based data warehouse implemented with data engineering service to manage and analyze large volumes of data to improve productivity within the data ecosystem.

A centralized data warehouse with QA engineering framework was implemented with real-time data streaming capabilities through big data analytics & visualization.

This case study talks about Azilen’s engagement with one of its clients for collaborative DevSecOps Engineering for an AI-enabled diagnostic platform that detects cognitive impairments early on, allowing for faster diagnosis and patient care.

The client is a research and innovation-focused company that provides cognitive screening solutions through the most sensitive test available for detecting neurological disease.

A collaborative deployment ecosystem was developed for container orchestration to ensure efficient resource utilization and eliminate Kubernetes node scaling lag by leveraging pod priority and over-provisioning strategies to maintain consistent performance even during peak demand.

Azilen collaborated with one of its clients for the implementation of an omnichannel customer experience solution to improve the overall visitor experience and customer satisfaction.

The client is a digital signage and wayfinding company offering digital interactive navigation, advertising, and messaging solutions.

A comprehensive omnichannel customer experience solution was developed from idea to implementation to provide a robust digital experience for visitors through digital signage and wayfinding software embedded with mall kiosks consisting of a touch log analytics mechanism.

A HealthTech platform analyses the Embryos developed in Labs and predicts the success rate and flags the ones that may fail to fertilize further. Thus, avoiding patients undergoing repetitive IVF cycles.

AI can only predict based on the right and relevant data of the patient with real-time status available at the point of Analysis.

Azilen enabled this through EHR EMR integration. With a cloud-hosted serverless integration layer, the system was enabled with a secure data pipeline to exchange real-time anonymized patient data with HIPAA-compliant formats.

An Automated mechanism was set up using AWS lambda which automated the data transformation and exchange from EHR/EMR systems to the AI platform. The prediction & evaluation of the platform is fed back to the EHR/EMR system for clinical records.

The client is a digital payments and wallet services company that collaborates with the financial ecosystem in processing and providing effective tools for monetary transactions across large userbase.

We engaged and enabled their Cloud migration and management initiative, with the transformation of their complex infrastructure, architecture & services implementation and continuous monitoring & upgrades mechanisms to ensure Scalability, security & High-availability.

This case study explores Azilen’s collaboration with one of its customers, a leading talent acquisition firm, to implement system integrations through the adoption of API-first architecture principles.

The aim was to enhance candidate engagement and streamline the recruitment process.

Azilen provided a comprehensive solution, integrating the client’s Conversational AI chatbot with Workday ATS and multiple job boards like Indeed, and LinkedIn. This involved real-time data orchestration & streamlined workflows to Improve interoperability within disparate systems.

The client is a USA-based company specializing in cloud-based HR solutions. They focus on optimizing HR operations and enhancing Human Experience Management through innovative technology integrations.

Azilen provided a solution by integrating TalentGuard with SAP SuccessFactors to automate job profile creation & competency mapping. The integration involved fetching job details, including job family, roles, responsibilities, & proficiency levels from TalentGuard, & pushing this data into SAP SuccessFactors to create detailed job profiles.

This case study of cloud cost optimization discusses Azilen’s engagement with one of its clients, a SportsTech company in Golf, for collaborative Cloud FinOps Engineering as part of our FinOps as a Service.

The aim was to address infrastructure security and AWS cloud cost optimization challenges. This initiative aligned with their journey toward cloud operations maturity.

We collaborated to enhance their cloud infrastructure efficiency by addressing cost inefficiencies and strengthening security, leveraging our FinOps as a Service.

The client recognized the significance of employer branding & had an innovative concept of a centralized platform to manage job campaigns and distributions for talent sourcing.

An enriched talent acquisition software was designed with AI capabilities to attract and hire top talent, enhance employer branding, and increase candidate engagement and satisfaction.

A comprehensive talent acquisition software engineered with AI capabilities to analyze real-time insights into the recruitment process through virtual assistants to provide a competitive advantage.

This case study talks about Azilen‘s engagement with one of its clients for collaborative software product development of drone inspection software for automated aerial inspection.

Let’s discover some details about this platform built with a purpose – airport runway surveillance powered by AI drone inspection.

Azilen engaged with the client for blue-printing the concept from idea to implementation, thus envisioned an automated drone inspection software.

A robust platform was engineered with a comprehensive technical due-diligence on drone systems, SDKs, high-performance architectures and effective control mechanisms.

Velocity Network is a leading credential services provider having their own blockchain network for issuing, verifying and storing immutable career credentials.

With the vision to create Internet of Careers, they are on a path to reinvent how career credentials are utilized across the global labor market.

Azilen with its Product Engineering Capabilities in the HRTech and WorkTech arena collaborated with Velocity Network Foundation to solve the long pending crisis of Career Credentials and Data Ownership.

Being the integration partner for Velocity, Azilen undertook this collaboration as a stepping stone towards making the Self-Sovereign Identity more accessible and acceptable across the globe.