Kala AI came to Dink with a clear ambition and an early prototype. The idea worked in a demo. The next step was the hard one: turning it into a real product that customers could depend on, every day.
What was at stake
This is the gap most early AI products fall into. A demo only has to work in a controlled setting. A product has to work for every user, on real data, at a cost that still makes sense as usage grows.
Get it wrong and the consequences add up quickly: answers customers can’t trust, running costs that are hard to predict, and a codebase that becomes fragile exactly when the company needs to move fast.
How we did it
1. The right AI model for each job
Bigger isn’t always better. Rather than defaulting to the largest model, we chose models part by part, balancing cost, accuracy and privacy for each task in the product.
2. Answers based on real data
We connected the AI to the platform’s own data, so its answers reflect reality instead of generic knowledge from the internet.
3. Built to last from day one
Monitoring, version control and documentation were in place from the start. The team can see how the platform behaves in production, trace every change, and keep growing it without it becoming the fragile system nobody wants to touch.
What changed
- From concept to production. Kala AI runs as a real platform, not a demo.
- Predictable running costs. Choosing models on cost as well as accuracy keeps spending under control.
- Visible behavior. The team can see how the platform performs in production, instead of finding out from customers.
- A foundation to build on. A codebase a senior team can keep evolving. The same discipline that took it to launch keeps it reliable today.
What it means for you
Getting AI to work in a demo is the easy part. Making it reliable, affordable and maintainable is where the real work, and the real value, is.
The same approach applies inside established companies: choose the right model for each task, ground it in your own data, and build it so it can be monitored and maintained for years.