Built for a business purpose
Every AI feature starts from a concrete problem: hours saved, decisions supported, work automated. We assess whether AI is the right tool, and say so honestly if it isn’t.
AI that works in production
We build AI into real products and workflows: language model integrations, intelligent automation, and features like search, document processing and analysis. The same engineering standards apply as everywhere at Luftborn: architected properly, tested honestly, and maintained after launch.

Every AI feature starts from a concrete problem: hours saved, decisions supported, work automated. We assess whether AI is the right tool, and say so honestly if it isn’t.
Useful AI built into the product your customers already use, with clear feedback and controls, so it feels like part of the product, not a chatbot bolted on the side.
Retrieval-augmented generation connected to your documents, databases and systems through MCP, so assistants answer from your business instead of guessing.
Function calling, skills and agent-to-agent coordination, giving models real tools and defined capabilities so they carry tasks through instead of only describing them.
Knowledge search, document processing, drafting and summarizing, built for the teams losing hours to that work every day, cutting corners and improving efficiency.
Where your data goes and who can reach it are decided before anything is built, so your information stays yours and stays within the boundaries you set.
The core of our stack: technologies we know deeply and run in production every day.
We contribute ideas, refine plans with you, and share responsibility for the outcome.
We guide your project to success. When something breaks, we fix it; when something can be better, we raise it.
Peer review on every change, automated testing and agreed standards. Ask us how anything was built, and we can show you.
Experienced engineers lead every project, with a team built for your specific work.
Software built to be maintained for years, and client relationships run just as long.
You see progress as it stands: honest status, open communication, no surprises.
With the problem, not the technology. You tell us what takes too long, costs too much or needs adjustment at scale; we assess whether AI is actually the right answer, and say so honestly either way.
Usually a scoped first feature: defined problem, defined criteria, fixed price. Ongoing AI work fits a monthly model. Running costs of the models themselves are yours and made transparent from the start.
You do, fully. The integrations, prompts, pipelines and documentation are yours. Model providers have their own terms, and we architect around them so your ownership stays clean.
More than you’d expect at the start: defining what “good output” means for your business is work only you can anchor. After that, regular reviews as the feature takes shape.
It stays yours and stays where you decide. We architect integrations so your data isn’t used to train third-party models, and we set access boundaries before anything is built.
We’re not tied to one provider. The model is chosen per use case — capabilities, cost, hosting, and data requirements and the integration is built so that the model can be swapped as the market evolves.
No. We assess what your existing data and systems support and scope the first feature around what’s realistic.
Here’s what working with Luftborn sounds like from the other side.