Evangelist Apps

Evangelist Apps is a private company that provides enterprise software, mobile applications, and AI-enabled digital solutions. The organisation is headquartered in the United Kingdom and maintains offices in London and Fleet. Project work and client references indicate operations in the UK and Europe and engagements with international clients.

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Services and Capabilities

• Mobile application development: native iOS and Android apps and cross-platform solutions, delivering production-ready mobile clients and background download, offline access and secure storage features.
• Enterprise web and cloud platforms: full‑stack web application development, API integration, cloud-native architectures and cloud operations on platforms including Microsoft Azure.
• Artificial intelligence and machine learning: generative AI, computer vision, NLP, predictive modelling, and AI product engineering including retrieval-augmented generation (RAG) and AI assistants.
• Software integration and data services: third‑party API integration, data migration, data pipelines and business intelligence implementations.
• DevOps and automation: CI/CD pipelines, automated testing, QA test case automation and operational monitoring for deployments.
• CRM and enterprise software: custom CRM and Salesforce applications, ERP development and workflow automation.

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Industry Focus

• Finance and banking: mobile and web apps for banks and financial services, secure content access and integrations for investment research and neobanking projects.
• Retail and eCommerce: point-of-sale and retail mobile apps, dynamic pricing and integrated payment flows for luxury goods.
• Media and publishing: mobile applications with offline content access, background downloads and search functionality for news and interview content.
• Utilities and consumer services: apps and platform integrations for energy and service providers.
• Education, logistics and on-demand services: development of mobile and web experiences, data pipelines and device integrations where listed.

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Technology and Delivery Approach

• Technical themes: integration of APIs, cloud-native architectures (notably Azure), data platforms, stream processing and a range of databases and messaging systems.
• AI and analytics: deployment of machine learning, generative AI, computer vision and analytics to support automation, personalization and predictive insights.
• Delivery methods: use of Agile and Scrum methodologies, task management with tools such as Jira and Trello, and emphasis on CI/CD, automated testing and DevOps practices.
• Tooling and stacks: front-end frameworks (React, Angular, Vue), backend technologies (.NET, Java, Node.js, Python, Go), mobile frameworks (Swift, Kotlin, React Native, Flutter) and data technologies including Kafka, Spark, PostgreSQL, MongoDB and others as part of integration work.