Smart. Core to Kern.
We build AI for everyday use, connected to your own systems and data. From the first plan to working agents.
Using AI every day takes more than a good model. What data can it read? Who checks its answers? We also work out what happens when it doesn't know, and what it costs to run each month.
We start with work that needs judgement and takes up people's time. We look for uses where you can check the output.
No. The model does the groundwork and the repetition; the person decides. Anywhere there are consequences, we build in a check.
We choose work that comes up often and takes a lot of time or money.
A short test on your own data shows whether it's good enough. If it isn't, you know in weeks rather than after six months.
With permissions, logging, error handling and a clear point where a person steps in.
Models and prices change. We set out how you switch without rebuilding everything.
If a fixed rule or simple automation does the same job, we build that. It costs less and runs faster. It's also easier to explain how it works.
We built a coding agent that writes game code in a fixed, scalable way, guided by a vectorised library of code samples and a project template it fills in.
A game engine in the browser with a visual editor and AI tools for code, art and sound.
Not sure? That's the first question we answer together.