Questions,answered

Companies that already run on digital tools and want to go further — either by putting AI to work in their operations, by improving their website or web applications, or both.

You need your work to happen in software and your data to be accessible. You don't need a data science team. A Readiness Assessment tells you exactly where you stand.

Yes, and we prefer it. We work in your tools, pair with your people and hand over documentation and training so your team can own what we build.

We're model-neutral. We select models per use case based on quality, cost, latency and data-handling terms, and design systems so models can be swapped as the landscape changes.

Not by us, and we choose providers and configurations whose terms prevent your data from being used for training. Where policy requires it, we can deploy privately in your environment.

Before building, we agree success criteria with you — typically answer quality on a curated test set, time saved per task, adoption by real users and cost per task. The pilot report measures against those.

Then we'll tell you. Sometimes a simpler automation, a process change or better documentation is the right fix.

Both — and deployment and ongoing operations too. One team handles the whole lifecycle.

Usually a modern TypeScript stack such as Next.js and React, with a headless CMS where content editing matters. We adapt to your existing stack when that's the better choice.

Yes. We start with an audit of code, hosting, performance and security, then propose a plan to stabilise and improve it.

It depends on scope, so we don't publish fixed prices. After a first conversation we send a written proposal with scope, timeline and cost.

A Readiness Assessment usually runs a few weeks; a Pilot Sprint a few weeks more. Web launches vary with scope. We'll give you a timeline in the proposal.

You do. Code, configuration, prompts, evaluation sets and documentation are handed over as part of the engagement.