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Services

Full-stack engineering, with AI as the leading edge.

Six ways we design, build and run software for enterprises worldwide — from production AI to the teams that ship it.

How the six fit together

They are one stack, not a menu of unrelated offers. Data & analytics is the foundation, because an agent reasoning over an unreliable warehouse produces confident, wrong answers. AI & agents sits on top of it, and cloud & AgentOps is what keeps both running once they are live and nobody is watching. Product engineering builds the application people actually touch, and modernization is how a system that already carries your business gets there without being switched off first. Dedicated teams is the same engineers, embedded in yours and reporting into your planning rather than ours.

Which one you need

Most engagements do not start as one service. If you have a system that works but is expensive to change, start at modernization. If you have clean operations and a process that eats people’s days, start at AI & agents. If you know exactly what you want built and need capacity to build it, start at dedicated teams. If the honest answer is that the data is not ready, we will say so — that is usually the finding, and acting on it first is cheaper than discovering it two quarters into an AI programme.

What you are buying

An engineering team, not a platform licence. iLeaf has been building software since 2011, and the part of the record that matters is not the 500+ projects delivered — it is that 500+ of those products are still in production and still maintained by us. Systems that survive are a different discipline from systems that launch. How we work sets out the ten stages every engagement runs through, and the case studies show what came out the other side.