Smartabase, a data-driven sports performance SaaS company, faced limitations with its Java-compiled Google Web Toolkit (GWT) framework. The legacy frontend could not meet customer requests. These constraints restricted the product’s ability to support new needs and slowed progress toward broader market opportunities. A strategic frontend migration to React.js v18 was implemented to modernize the application. Standardized containerization approaches were established to convert legacy GWT components into the new frontend architecture. This created a repeatable pathway for modernization while supporting ongoing delivery. The modernization enabled expansion into armed forces performance management services. It also allowed the internal team to redirect resources toward other business priorities. The upgrade provided access to the broader React.js library ecosystem for continued development.

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Arora, a Sydney-based VC-funded EdTech startup, needed to build a new online learning application from scratch. The concept explored multiple technology solutions in a learn-as-you-go model across in-house and remote teams. The system needed to enable smooth exchange of information while maintaining data security and privacy. The team also required detailed user reporting for stakeholders. Two frontend developers were integrated to help build a high-spec Flutter application that enabled users to interact with experts across real-world domains. The application combined multimedia communication, including text, voice notes, voice-to-text, and video, and supported community Q&A and insights. The implementation included GDPR compliance and omni-channel reporting with rich user metrics. The rollout was executed in phases, including a beta phase, initial launch, and scale-up, with detailed documentation of functions, coding standards, and platform dependencies. The delivered platform supported over 10,000 monthly users. Two resources integrated seamlessly over a 10-month engagement to work on core functionality and data storage. Security controls included 2-factor authentication (2FA) for all user types, and the system integrated Firebase for authentication and storage plus Stripe for payments. Performance and functionality were enhanced with AWS microservices and video compression, alongside backend development in Java.

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My Trucking, a Kiwi-owned transport management system, had data locked within its core business logic that was not easily accessible. That constraint limited how the business could share data with outside parties. It also made it difficult to create a scalable approach to monetizing aggregated datasets. A RESTful API consumable by external vendors was developed to expose the required data. The team designed endpoints that adhered to JSON API specifications. The solution also integrated with the Xero API. The implementation delivered a scalable solution for monetizing aggregated datasets and creating a new revenue stream. It was completed with zero system downtime across the full development cycle. A 4-person team provided ongoing maintenance support.

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Damstra faced data duplication caused by a PHP application with unsolicited permissions. Power BI usage created excessive costs of over $180K USD per month. Customers reported negative experiences across web and mobile applications. Over 300 customers relied on manual recording tools to ingest data for reporting, and the legacy Yellow Fin reporting product had limited features. The team refactored the system so the PHP application operated in a view-only state to minimize race conditions. They migrated reporting away from Power BI and Yellow Fin to Logi-composer and Snowflake, including converting Yellow Fin’s MS SQL implementation to the Snowflake DSL. A centralized Web API was built to consolidate business logic, expose public APIs for third-party integrations, and deliver new functionality. Mobile applications were rebuilt in Kotlin and Swift, and a scalable three-tier ETL process automated database conversions. The migration reduced annual server costs by $180K in annual license fees. Stored procedure logic was reduced from 3,500 lines to 450, improving maintainability and performance. ETL automation efficiently converted data across over 300 databases, reducing manual ingestion burden. The work supported improved customer experience across the platform and enabled positive changes identified pre-deployment during penetration testing.

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My Trucking, a Kiwi-owned transport management system, had data locked within core business logic that was not easily accessible. This limited how external vendors could consume key information and constrained opportunities to monetize aggregated datasets. The business needed a scalable way to expose data without disrupting existing operations. A RESTful API was developed for consumption by external vendors to enable access to aggregated datasets. The team designed endpoints that adhered to JSON API specifications to ensure consistency and interoperability. The solution also integrated with the Xero API to support connected workflows. The implementation supported a new revenue stream by enabling monetization of aggregated datasets. The development cycle completed with zero system downtime, avoiding disruption to customers and operations. Ongoing maintenance support was provided by a small team to keep the API reliable over time.

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A Big 4 bank needed to improve customer guidance for portal changes. The bank had limited ability to customize journeys by demographics. This constraint made it difficult to deliver targeted, timely communication within the retail online banking portal. A targeted communication feature for the retail online banking portal was designed and built. An administration panel was implemented to enable dynamic messaging updates. The solution was deeply integrated with Adobe Target and Adobe Audience Manager to support highly customized user journeys. An end-to-end engagement was delivered across discovery, design, build, QA, UAT, and training. The work was completed with ongoing support. The implementation supported improved customer guidance for portal changes while enabling demographic-based customization.

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Hick Bros needed a new system to manage flocculant release on silt ponds where dosing volume and frequency depended on rain events, chemical strength, and catchment area. The project required infield use with native notifications and alarms, plus GSM-based integration to the dispensing hardware. Environmental risk was high, so performance and reliability were critical. The dosing logic also required complex calculations based on 14 variables. A responsive monitoring application was built so users could track and manage thousands of ponds from a single device. The solution was implemented with Google Firebase, a Node.JS backend, and a React front end delivered across web and native. It integrated with the Particle.io IoT system to support real-time monitoring and dosing calculations. Reporting, user management for onboarding, and an integrated invoicing flow for single-click bill generation were also implemented. The system was deployed across New Zealand and Australia and supported over 2,000 active devices in operation. A 7-person team delivered the project over 18 months and supported discovery, QA, UAT, end-user training, and go-live. The platform enabled monitoring at scale from PC or mobile and supported operational reporting. The company also licensed the technology to other civil construction companies across Australasia.

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A Big 4 bank needed to improve customer guidance for retail online banking portal changes. The organization had limited ability to customize customer journeys by demographics. As a result, it needed a better way to communicate updates without disrupting the user experience. A targeted communication feature was designed and built for the retail online banking portal. An administration panel was implemented to enable dynamic messaging updates. The solution was deeply integrated with Adobe Target and Adobe Audience Manager to support highly customized user journeys. The bank delivered the work through a structured program that included discovery, design, build, QA, UAT, and training. The approach supported standardized touchpoint management while maintaining data privacy compliance. The program also established a mechanism for ongoing support after the initial delivery.

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