Custom D

Custom D is a company that provides bespoke software development and cloud services. The business operates as a custom software and application development firm with specialist services around cloud, data and AI. Office locations are shown in New Zealand and Australia, indicating operations across both countries and projects serving clients in those regions.

Services and Capabilities

• Data strategy and engineering: design and implementation of structured data platforms, data governance, and data readiness activities to prepare data for analytics and downstream systems.
• Application modernisation: assessment, rebuilding, re-platforming and migration of legacy applications to run in modern cloud environments; delivery of updated application code, APIs and user-facing interfaces.
• AI readiness and AI solutions: development and integration of AI-powered features and generative AI interfaces, including project-specific AI tooling and website integrations.
• Cloud architecture and managed services (AWS): architecture design, cloud infrastructure provisioning, managed AWS support, and ongoing operational management of cloud environments.
• Cloud migration and security: migration of applications and data from on-premises to cloud, plus security reviews and compliance-related cloud configuration.
• DevOps and platform delivery: design and implementation of CI/CD pipelines, infrastructure-as-code, and operational practices to support scalable SaaS delivery.

Industry Focus

• Financial technology: work on payment systems and online payment transfer platforms, involving migration and digital delivery of transaction processing capabilities.
• SaaS platform delivery: design and build of cloud infrastructure and release pipelines to support software-as-a-service products.
• Agriculture / agritech: implementation of AI-driven website tools to provide growers with accessible agricultural information and decision support.
• Insurance / InsureTech: digital transformation projects to improve policy management, integration and customer-facing systems.

Technology and Delivery Approach

• Cloud-native architectures: solutions are implemented on cloud platforms with emphasis on AWS services, infrastructure-as-code and scalable infrastructure.
• Integration and automation: delivery includes API integration, CI/CD pipelines, DevOps practices and automation of operational tasks.
• Data and analytics: projects include structuring and securing data, preparing datasets for analytics and operational reporting.
• AI and machine learning: deployment of AI components and generative AI interfaces where required, including custom tooling referenced by name in project descriptions.
• Security and compliance: cloud security reviews, identification of vulnerabilities and alignment of cloud configuration with compliance needs.