Applied AI engineering and prototyping
We turn your AI idea into a working prototype, so you can test a new capability and decide what comes next. You keep the custom code, the findings, and control over further development.
Make progress while daily business continues. We lead the exploration, prototyping, and implementation, with clear updates on important decisions. Bring an idea or a business problem. You do not need an internal technical team.
What will you gain?
A working prototype
Try your idea in practice. We agree the scope and success criteria at the start, then build a working prototype you can test with your team.
Evidence for your next decision
Understand what works, what does not, and what remains uncertain. Use the findings to decide whether to invest further, change direction, or stop.
Knowledge your company retains
Concise reports capture experiments, results, and technical decisions. Your team keeps the findings and understands the reasoning without managing the technical work day to day.
Control over continued development
Receive the source code and documentation for what we build. Open standards and replaceable components help you continue with us, another provider, or your own team.
How a typical engagement works
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Define what you want to make possible
Bring an idea or a business problem, not a finished specification. Together we agree the goal, budget, prototype scope, and questions the experiment needs to answer.
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Compare existing options
We compare existing software, open-source solutions, and AI approaches. We choose the approach that serves your goal, with no product of our own to push.
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Build and test the prototype
We test AI approaches with your use case and build the working prototype. We compare results against clear success criteria and simpler alternatives, so you see what works in practice.
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Hand over the code and findings
You receive the custom code, documentation, and findings, with clear next steps for continued development. Throughout the engagement, short updates keep you involved in important decisions. We adapt handover sessions and your involvement to your needs.
Ready to make AI work for your business?
Why work with us?
Engineering beyond the demo
We combine AI implementation with software engineering experience. We test with representative data and plan for integration, deployment, and maintenance. You know what the prototype demonstrates and what production use needs next.
Independent technical choices
We choose tools for your business, not to sell a platform. We compare AI with existing software and simpler approaches, then explain our technical decisions.
Knowledge that stays with you
You keep experiment results, evaluation data, and the reasoning behind technical decisions. As models change, your team has the evidence and practical experience to assess new options without starting again.
Control over what comes next
We build on open-source software, open standards, and replaceable components. You own your custom code and keep the freedom to continue with us, another provider, or your own team.
Work directly with the engineers building your prototype
You talk to the technical people doing the prototyping and implementation. We learn your product and business, explain our decisions, and build with you. You work with us directly, without an intermediary passing messages.
Dr. Philip Heltweg
Product-Minded Engineer
Product-minded engineer with experience as a professional software engineer, technical product manager, and researcher in software engineering and data management. Philip helps teams connect complex technical work with practical product goals.
https://heltweg.org
Dr. Georg Schwarz
Infrastructure Engineer
Infrastructure engineer with extensive experience building and running reliable software systems. Georg manages deployments and cloud platforms, and combines full-stack engineering with experience in research experiments and research software.
https://georg-schwarz.comWorking in transport or logistics? Explore sector-specific AI ideas and first experiments.
Read more about our engineering approach: evaluating AI workflows and taking a prototype into production.
Frequently asked questions
Do we need an internal technical team?
No. We work with business leaders directly or alongside an existing technical team. You provide business context, access to relevant people and data, and feedback on key decisions. We lead the technical work.
How much of our time will this take?
You do not need to supervise daily technical work. We agree who needs to contribute and when, including feedback and any data preparation. We discuss the time required before starting, based on your idea and systems.
What if AI is not the right solution?
We use the approach that fits your goal, including existing software or a solution without AI. You receive a working prototype within the agreed scope and findings that explain what we tested and why we chose that approach.
Who owns the code, and where does it run?
You own the custom code we build for you. Existing open-source components remain subject to their licences. We agree deployment and external services with you, make dependencies clear, and document how to operate the prototype and continue development.
Is the prototype ready for production?
The prototype gives you a working system to test your idea. We document what production use needs next, including security, monitoring, testing, and deployment work. We agree the scope of further implementation with you separately.
What would you like AI to make possible?
Tell us what you want to build or explore. We will discuss your goal and help define a useful first prototype.