Why a blog, and why now?
We have been building LexiCo quietly for several years. The STONE compression engine, the O(1) Proxy, Nordic-hosted API, the customer dashboard, the agent program — it is all in place. Now it is time to talk publicly about what we have learned along the way.
This blog is for developers, decision makers, researchers and the merely curious who want to understand how AI can actually become cheaper, faster and more sustainable — without compromising on quality or data control.
What to expect
- Technical deep dives: How STONE compresses prompts, how the O(1) architecture works, why token price is not the whole picture.
- Case studies and benchmarks: Real measurements from production, transparent about method and caveats.
- Industry commentary: EU AI Act, data residency, AI energy costs, and how it affects companies in the Nordics.
- Product updates: New models supported, new features in LexiSaaS, and behind the scenes from development.
Our promise
We promise to be concrete, transparent and critical of our own numbers. When we say "up to 79% savings", we will explain what it means and when it applies. If we get something wrong, we will fix it and say so. This blog is meant to be worth reading — not a marketing organ.
Stay tuned
The first proper technical post is coming soon. Until then, read more about our technology, check the benchmark methodology, or get in touch if you have questions.
Welcome.
— Hans Berge, CEO LexiCo AS