Question
Choose a real task to investigate
Frame a practical question about agent or model behavior, the engineering work involved, and what a useful result would look like.
Services / Applied AI research
Applied AI research you can put to work
Test how AI agents and models behave on real engineering tasks, then turn promising findings into prototypes your team can inspect and discuss.
01Research / Prototype / Learn
Move from a question to evidence.
A useful investigation makes its question, method, and limitations clear—and gives people something concrete to evaluate.
Prototype
Make the idea tangible
When it helps answer the question, build a focused prototype people can try—not just a concept that sounds promising in a presentation.
Learning
Carry findings into practice
Use what the investigation reveals to make more informed choices about where AI belongs in software work, and where it does not.
Research grounded in engineering work
We explore how AI agents and models behave on real engineering tasks. The aim is to learn what is useful in practice, including where a tool falls short, rather than assuming a promising demo proves the case.
Depending on the question, work may include a small experiment, a prototype, or a structured comparison. We make the scope and assumptions visible so the result can support a real discussion.
Bring us a research question
Tell us what you want to understand about AI agents, models, or their role in engineering. We can help narrow the question and decide whether an experiment or prototype is a useful next step.
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Have an AI question worth testing?
Let’s define a useful experiment.
Share the task or uncertainty you want to investigate.