Software development AI: custom engineering for your rollout.
With us, software development for AI systems means custom software, data pipelines and system integrations that go beyond off-the-shelf components. We build what private AI infrastructure and AI agents additionally need for your specific use case - from connecting a legacy system to a working first product, an MVP - with the same team that builds and runs Orpheon.
What this solution is for
Not every AI project can be delivered with standard components alone. Some companies have legacy systems with no documented interface, some need an internal tool the market simply does not offer, some want to turn a first idea into a working product to test in the market. For all these cases, product development stands as its own solution alongside private AI infrastructure and AI agents, working closely with both, because none of the three building blocks holds up well on its own in the long run.
This page is aimed mainly at companies already working with us on private AI infrastructure or AI agents who reach a point where a standard component is no longer enough. It is deliberately not linked from the homepage, because it is not a stand-alone entry point - it makes the engineering depth behind the other solutions visible, for anyone who wants to know exactly who is building what we deliver.
The building blocks of our product development
Data pipelines are the first building block. Before a language model or an AI agent can work usefully, data from different sources has to be brought together, cleaned and put into a usable form. We build these pipelines to run reliably and to extend, without needing to be rebuilt from scratch for every new data source. That also includes automatically detecting and logging error cases such as missing or contradictory records, instead of letting them pass silently into downstream systems.
Internal tools are the second building block, often the most visible one for the people who use them daily. When a team needs a step in its workflow that no off-the-shelf product offers in this form - a dashboard for monitoring an AI agent, say, or an interface for approving automated decisions - we build it to fit your specific process.
Integrations are the third building block. Existing systems, whether ERP, inventory management or a sector-specific application, need to be able to talk to the new AI infrastructure. We build the necessary interfaces, documented and maintainable, even when the existing system itself only offers a poorly documented or outdated interface. In Mittelstand companies with grown IT landscapes, this building block is often the actual bottleneck, not the language model itself.
MVP development is the fourth building block, for companies that want to turn an idea into a first working product to test internally or in the market before committing to larger investment. We deliberately keep the first feature set lean, so you get real feedback early instead of spending months on a complete version that may still prove to need a different shape in the market.
How a project runs with us
Product development with us also follows a fixed structure, rather than an open-ended time-and-materials contract. It starts with jointly clarifying scope, data situation and technical constraints, followed by an iterative approach in short cycles with regularly visible progress, so you can steer at any point instead of seeing a finished result only at the end. On completion we hand over full technical documentation - not a black box only we understand, but a foundation another team could build on later, should you ever want that.
The proof of our own engineering depth
We apply the same engineering work to ourselves. Orpheon, our own forecasting platform, is built entirely with our own product development - from the data pipelines through the connection to operating data to the user interface - and we run it ourselves. Anyone who wants to know how solid our software development really is finds the answer not only in what we say, but in a running product at Orpheon.
How product development works with the other solutions
Product development rarely stands alone. Most often it arises alongside building private AI infrastructure or rolling out AI agents for companies, when standard components are not enough for a specific process. After development is complete, we also take over ongoing operations here, as described at Operations, rather than leaving you alone with finished but unsupported software - a self-built application needs maintenance just as much as a purchased system.