merlin • software boutique
• SaaS+SAM software development and management *powered by iSPARX™
merlin SaaS+SAM software boutique
The SaaS+SAM boutique develops small-scale, high-impact software grounded in ethical design and composable architecture. It focuses on tools that solve specific operational problems while remaining scalable, lightweight, and secure. Each product is built with a modular framework that supports data sovereignty, responsible AI use, and flexible integration with existing systems.
Workflow and Compliance Automation
Delivers tools that reduce administrative overhead and strengthen compliance workflows. Solutions include AML verification modules, lending and onboarding pipelines, and data-secure audit tools. Each system is designed for accuracy, transparency, and alignment with New Zealand’s privacy and regulatory settings.
Education, Capability and Skills Platforms
Supports learning providers, cultural organisations, and enterprise teams. It produces micro-learning engines, recommendation systems, and platforms that combine psychometric insights with adaptive content. The focus is on clear user pathways, ethical data handling, and accessibility across devices.
Creative and Spatial Tools
Provides specialised software for arts, culture, and spatial storytelling. It includes lightweight CMS systems, media catalogues, and companion tools built to complement AR+IQ deployments. The aim is to enable creators and organisations to manage, publish, and analyse immersive content without technical overhead.
The Helen Clark Foundation — Website, Database, and Document Retrieval System
We delivered a full redevelopment of The Helen Clark Foundation’s website, designed to modernise how research content is produced, stored, and accessed. The build includes a secure database architecture for managing publications, policy papers, and archival material, along with a structured document retrieval system that allows users to search, filter, and download resources with accuracy.
The project strengthens the Foundation’s digital presence by improving usability, accessibility, and long-term maintainability. It also provides a scalable backend framework that supports future growth, including new research collections, member services, and reporting tools. The work reflects an evidence‑driven approach—supporting thought leadership, policy engagement, and transparent public communication.
Merx Retail Lending — Automated Lending and Machine Learning Systems
For Merx, we are designing and implementing an automated retail lending workflow that uses AI and machine learning to streamline the full application lifecycle. The system collects and verifies application data, performs real‑time risk assessment, and applies adaptive ML models to support consistent and compliant decision‑making.
This reduces manual bottlenecks and improves processing speed, while maintaining clear auditability for regulatory purposes. The platform is built to scale, allowing Merx to adjust lending criteria, update models, and incorporate new data sources without disrupting operations. The outcome is a more efficient, reliable, and transparent lending process that benefits both customers and internal teams.
Chris Cuffaro Archive — Digital Catalogue and Photography Database
For the Cuffaro project, we are building a structured digital catalogue that transforms decades of iconic music photography into an accessible, searchable, and durable online archive. The system ingests high-resolution images, captures detailed metadata, and organises each asset within a stable, standards-aligned database.
The platform supports precise navigation, allowing users to explore the work by artist, era, session, location, or story. It maintains full provenance and context, ensuring that every photograph can be traced, referenced, and understood within its historical setting.
This reduces the risk of data loss and improves long-term preservation, while providing curators, researchers, and fans with a reliable and transparent way to interact with the collection. The architecture is built to scale, enabling future expansion, new modes of discovery, and integration with emerging creative and spatial viewing tools.
sweetorange.app — Fan Engagement and Live Event Discovery Platform
For Sweet Orange, we are developing a fan-centred mobile platform that reshapes how audiences discover and interact with live music. The application brings together event listings, artist profiles, and personalised recommendations, supported by a structured data layer that tracks engagement patterns and emerging audience behaviour.
The system provides a clear pathway for users to follow artists, receive tailored alerts, and access curated content that deepens their connection with upcoming shows. Its catalogue architecture supports accurate event metadata, real-time updates, and consistent cross-device performance.
This improves discovery for fans while giving artists and organisers better insight into demand and audience trends. The platform is built to scale, allowing Sweet Orange to expand its dataset, integrate new features, and evolve the fan experience without disrupting the core service.