Solveion is an independent AI consultancy. We train teams, advise on where AI fits, and build custom systems that stand up to daily use.
What we do
Different starting points, same goal: AI that pays for itself in your organization.
Hands-on programs built around the work your team already does, not generic demos. People leave with skills they can use the next morning.
Learn more →Honest advice on where AI helps your business, and where it does not. We help you pick the few problems worth solving first, then help you solve them.
Learn more →Assistants, automations, and retrieval systems built around your data and your processes. Designed for daily use rather than for a demo.
Learn more →How we work
We start by learning how your business actually runs. Once a problem is well understood, the right use of AI tends to be obvious. Until then it stays invisible.
We look for the smallest version of an idea that can prove itself in real use, ship that first, and let the results decide what comes next. Long roadmaps can wait.
Your team should be able to understand, run, and extend whatever we build together. If you would need us around forever, we did something wrong.
Short essays from our work on AI adoption in practice. No breathless predictions.
When a lab announces that its model was used to run a near-autonomous intrusion campaign, it is publishing a warning and a capability claim in the same sentence. The genre cannot separate them, and several of these documents contain nothing a defender can act on.
Almost everyone who uses these tools daily has had the feeling that a model got worse. The labs deny it, precisely, and the denials are true. Both things can hold at once, and the documented record now shows exactly how.
Chinese open-weight models went from under two per cent of measured token consumption to more than half in eighteen months. The result is that no one has to buy their intelligence from two companies. That is worth being clear-eyed about, including the parts that complicate it.
There are only three things an AI lab can be worth a trillion dollars for: the models, the products built on them, or the thing that does not exist yet. Two of those legs hold more weight than people assume, and neither holds enough.
Before you ask
No. Most of our work starts exactly where you are: messy data, no strategy document, a few experiments that went nowhere. Understanding that starting point is part of the job.
We are deliberately independent. We work across the major model providers as well as open-weight options, and we recommend whatever fits your constraints on cost, privacy, and capability. We resell nothing, so the advice is the product.
It usually begins with a short conversation about what you want to achieve, followed by a focused first piece of work. That might be a training session, an assessment, or a small working prototype. We keep first engagements small on purpose, so both sides can judge the fit on evidence.
Yes, and we have. Some problems are better solved with a simpler process, better tooling, or no change at all. Saying so early costs you less, and it costs us less than a project that should never have started.
A short conversation is usually enough to tell whether we can help. If we can't, we'll say so plainly.
