I don't think of these as marketing language. They're the conclusions I actually reached, in the order I reached them, while trying to answer questions that public data should have made easy.
I spent a long time treating "the record exists" as though it meant "the question is answered." It doesn't. A record tells you something happened. Intelligence tells you what it means, why it matters, and what to do about it. I no longer let a product call itself finished until it does the second part, not just the first.
Publishing data in the public interest is necessary and I don't take it for granted — plenty of information still isn't public at all. But I watched publication get treated as the end of the job, over and over, when for the person trying to use it, it was really just the beginning.
I've built with these models and I take their capability seriously. But a model is only as trustworthy as the sources, definitions, and governance underneath it. I've seen how easily AI can make a weak answer sound like a strong one, and I built ALKARTIS to refuse that shortcut — every conclusion has to trace back to evidence a person can check.
If a record was collected and published because it serves the public interest, then the way it's delivered should actually serve the people it's meant for — not just the people with the technical skill to extract it. That gap, more than any other, is what sent me looking for answers in the first place.
None of this matters to me as an intellectual exercise. The point of connecting records, adding context, and explaining significance is that it changes what someone is able to see, ask, decide, or do next. If it doesn't change that, it isn't intelligence yet — it's still just information.
These beliefs are personal, but they aren't only mine anymore. They're the standard the company is held to — laid out in full, in the company's own words, on the What We Believe page.