Why We Exist
Why Next Yazılım Teknoloji Anonim Şirketi exists, and why software only counts as delivered once it has been measured in production.
Our Mission
Software counts as delivered when it has been measured running in production.
Much of the industry reads "delivered" as "the presentation was signed off." We don't. Before we call something done, we look at its error rate, its latency profile, and its monthly running cost under real user traffic.
That measurement is tedious. Because it's tedious, most places skip it, and the bill arrives six months later.
Why This Is Needed
Three things changed at once, and most software practice hasn't caught up.
- AI is infrastructure now. Large language models stopped being a box you bolt onto the side of an application. They're a layer that sets the data model, the interface, and the cost structure from the start. Adding that layer late means rewriting the architecture.
- Output is no longer deterministic. In classical software, the same input gives the same output. In LLM-based systems it doesn't. A green test suite tells you nothing about whether the system answers well. Testing has to be rebuilt from first principles.
- The bottleneck sits in the data layer. Every "AI-powered" product is only as good as the data underneath it. Most teams leave that layer for last and hit the wall there first when they scale.
None of this is solved by adding a model call to an existing pipeline. It's solved by rebuilding the workflow around the way the model behaves.
What We Do About It
At Bilkent Cyberpark we work in three areas: end-to-end product engineering, research on large language models, and the data infrastructure feeding both. What We Build covers each in detail.
What they share: in all three, a claim that something "works" is tied to a number. If we can't tie a claim to a number, it doesn't go on the page.
What We Don't Do
We don't sell hours. We don't build roadmaps against enterprise procurement checklists. We don't use AI as a marketing label.
When we evaluate a feature, the only question is: would this work without AI? If the answer is yes, it's probably not our work.
How You'll Know We Succeeded
A system we built is still running after we've left the room. Code we handed over is still readable and changeable six months later.
Both are measurable. We don't make claims about success we haven't measured.