Jaxel

Jaxel is a software development and technology consulting company that provides engineering services, data science, and cloud solutions. The organisation operates across multiple regions including the United States, the United Kingdom, and Europe as indicated by client engagements and events; the company is registered or active as a supplier to international programmes and U.S. procurement systems.

Services and Capabilities

• AI and Data Science: development and deployment of machine learning models (classification, anomaly detection, forecasting), automation of ML workflows, and implementation of MLOps and monitoring systems.
• Software Engineering: end-to-end application development including back-end services, front-end interfaces, mobile applications, API and microservices architecture, and full lifecycle testing.
• Cloud Transformation: cloud strategy, cloud migration, cloud management, cloud security, and design of cloud-native applications and infrastructure.
• Data Platforms and Analytics: design and delivery of analytical data platforms, stream processing for real-time analytics, data governance, and on-cloud data storage and integration.
• DevOps and Infrastructure Automation: continuous integration and deployment pipelines, infrastructure as code, containerization, and platform management.
• Product and UX Design: user research, UI/UX design, prototyping and design validation as part of product development.

Industry Focus

• Financial services: platform development and technology consulting for online lending and consumer credit platforms.
• Healthcare and clinical research: software and consulting to support clinical trials, patient-reported outcomes research, and related data collection and analysis.
• Education and workforce services: development of platforms connecting students, educators, and employers, including internship matching and related features.
• Property and facilities management: cloud-based digital twin solutions combining 3D models with building operational and climate data for portfolio insights.
• Retail and consumer goods: engineering and cloud transformation work for multinational apparel and sportswear companies.
• Fitness and consumer services: development of customer-facing platforms and automated support systems for gyms and fitness centres.

Technology and Delivery Approach

• System integration and APIs: design and implementation of robust APIs and microservices to enable modular application architectures.
• Cloud-native and infrastructure as code: use of cloud platforms, containerization (Docker), orchestration and IaC tools (Terraform, CloudFormation, Helm) to provision and manage environments.
• CI/CD and DevOps tooling: pipelines and automation using tools such as Jenkins, Git, Bitbucket, and Nexus for build, test, and deployment workflows.
• Data engineering and real-time processing: deployment of analytical data platforms and stream processing to support near-real-time analytics and decision-making.
• Machine learning operations and model monitoring: operationalisation of ML models with MLOps practices, including monitoring and lifecycle management.
• Use of programming languages and frameworks: back-end and data work using languages such as Java, Python, Node.js, Go and databases like PostgreSQL; front-end and mobile stacks including React, Angular, Flutter, and native mobile toolchains.