Dependable custom AI, built around your business.

Nirox Labs designs and builds custom AI applications, company knowledge assistants and AI agents. That can mean an internal document-review tool, an assistant that answers from your own information, or an AI feature connected to your existing software. It is based in Hull and works with businesses across the UK.

Workflow automation follows defined rules. Custom AI can interpret language and documents, retrieve relevant knowledge or choose between permitted next steps. An application may use both. I choose the simplest approach that meets the requirement; not every process needs AI.

If an existing product solves the problem well, that may be the better starting point. A custom build becomes useful when your process, data, integrations or customer experience need something more specific. I assess that fit before proposing a build.

No. Bring the outcome you want, an example of the work and the systems involved. I help establish feasibility and define a first version. If the uncertainty needs deeper investigation, we agree a separate discovery scope before committing to the build.

The price depends on the application, available data, integrations and testing required. After scoping, we agree a fixed price for the defined work. Hosting, model usage, third-party licences and optional ongoing support are discussed separately, so you can assess the cost of running the system as well as building it.

We agree who can access which information, which actions require approval and how uncertain results should be handled. I test realistic examples and exceptions before release. Hosting, model providers, data handling and monitoring are project decisions, discussed during discovery.

You own the custom work I build for you, with documentation and a handover. Third-party tools retain their own licences and fees. Ongoing engineering and support can be scoped separately, with response expectations and responsibilities agreed in advance.

That is a fair question, and it shapes how I work. I document what I build, hand it over with training so your team can run it, and agree support expectations and responsibilities in writing before launch. Where a system matters to daily operations, ongoing engineering can be scoped separately. If something needs more than one pair of hands, I say so up front.

I build a set of real questions or tasks from your own work, with the expected source or outcome for each, then run the system against them before anyone depends on it. Anything that takes action runs alongside your current process first. Where the system is unsure, it should say so rather than guess. Read the free RAG guide for the question-set method.