There are a lot of new AI systems in engineering. They make big claims, and they consistenly underdeliver.

It is not difficult to get your company AI ready, to start using AI over your operational data and tools to do things faster, better, cheaper. The first step is you need to structure your data, get everything into the one place in a format that makes sense. Then, it becomes absolutely trivial to use AI on top.

• You don't need a massive team.
• You don't need a massive budget.
• You don't need extortionate money systems.

You need to structure your data. Seriously.

Once you've done that, you can connect to whatever tools you want - AI tools, plug in your company standards, dashboards, search engines over your data.

We work with engineering businesses to get them up and running with AI. We spend a lot of time developing engineering data structures, processing data, and then at the end we build the actual tools that the AI interacts with. The structuring and data work is not glamorous. But it's absolutely essential.

Even though we're a small company, we're increasingly advising teams at large oilfield and engineering companies on their AI implementations. Whether building tooling for them, providing data structures, or just orchestrating their approach.

If you want impartial no-bullshit advice or input get in touch.