Services

Data Platform Migration

Migrate datasets, pipelines, transformations, and orchestration workflows to a modern data platform while preserving data integrity and business continuity.

Data Platform Health Check & Assessment

Assess platform architecture, pipeline reliability, data quality, performance, and operating costs. Deliver prioritised findings and actionable recommendations.

AI Proof of Concept (POC)

Build a working prototype to validate the technical feasibility, business value, and potential performance of a selected AI use case.

Modern Data Platform Implementation

Design and implement data ingestion, transformation, orchestration, testing, and foundational analytics capabilities.

Custom Data Solutions & Pipeline Dev.

Design, build, test, and deploy reliable, scalable, and maintainable data pipelines and solutions tailored to business requirements.

AI Opportunity & Value Assessment

Identify and prioritise AI opportunities based on business value, feasibility, expected ROI, and implementation complexity.

BI Solutions & Dashboard Dev.

Develop data models, data marts, semantic layers, and interactive dashboards, including testing, deployment, and documentation.

Platform Cost Optimisation

Analyse architecture, resource utilisation, compute, storage, and service costs. Identify and prioritise cost-saving opportunities while maintaining performance and reliability.

AI/ML Productionisation

Operationalise AI/ML models through deployment pipelines, CI/CD, monitoring, evaluation, performance optimisation, and model drift management.

Managed Data Platform Support

Provide ongoing platform monitoring, incident response, data warehouse management, pipeline maintenance, user access administration, security coordination, and performance optimisation.

IT & Data Security Assessment

Assess security controls, access management, infrastructure, and data protection practices. Identify risks and provide prioritised remediation recommendations.

Custom R&D, Software and/or Hardware Product Development

Research emerging technologies, validate technical feasibility, develop prototypes and MVPs, integrate hardware and software components, and engineer products aligned with business objectives.