Bespoke Software

We provide software development services for any given business need. We can help from the start with ideation to translating requirements to building technology solutions.

Covering the entire software development life cycle, we start with business requirements analysis to create a technical specification and a project plan.

We follow Agile practices meaning that when we execute the project plan, work is organised into milestones and sprints. We’re transparent throughout the entire process.

We have experience of a wide range of technologies. Regardless of the chosen stack, we prefer open source technologies, lightweight, transparent frameworks and simple, yet robust architectures.

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Cloud-Native Enterprise

Whether you are just embarking on the journey, or looking for advanced optimisations, reducing costs and risks.

Being cloud-native goes beyond simply adopting the technology and rolling out cloud platforms for the sake of seeming like an adaptable organization. It’s also about cultivating a culture that is inherently interconnected and works expertly with cloud. Businesses need to recognise the possibilities cloud enables to drive fundamental change and enable strategy.

Businesses must connect the dots between traditional, IT-centric cloud adoption, which works towards their specific end goal, and experimentation. By aligning these two core adoptions and strategically combining them with a leadership ambition to drive meaningful change, businesses will empower themselves to break through to new levels of performance.

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AI Engineering

With a focus on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts.

In contrast to the prevalent rush to develop capabilities and progress individual tools, AI Engineering asks a different set of questions: How can AI help humans achieve mission outcomes? What are the limits of AI systems in practice today? How can we ensure that ethical standards are upheld as AI systems are deployed?

The discipline of AI engineering equips users to develop systems across the enterprise-to-edge spectrum, to anticipate requirements in changing operational environments and conditions, and to ensure human needs are translated into understandable, ethical, and thus trustworthy AI.

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