About
An independent engineering studio.
innerpulse designs, builds and runs applied AI systems. The people who scope the work are the people who write the code and answer when it breaks.
The studio grew out of building systems that have to work unattended: live data platforms, desktop software and firmware for radio hardware. That background shapes how AI work is done here. Inputs are messy, failures are expected, and nothing is finished until it can be measured and monitored.
Today that experience goes into agent systems, research automation, evaluation and the data platforms underneath them, for teams who want AI that holds up in daily use rather than in a demo.
What to expect
- Direct access to the engineers doing the work
- Written scope, milestones and a definition of done
- Code, documentation and infrastructure you own
- Honest advice, including when not to use AI
Principles
How the work is done.
- Evidence over demos
- Every system ships with a way to measure it. If quality cannot be shown, it is not done.
- People stay in charge
- Automation handles volume; review steps sit wherever a wrong answer would be costly.
- Built to be owned
- Plain, documented code on infrastructure you control, with no lock-in to a single model vendor.
- Private by default
- Data stays where it belongs. Access is scoped, logged and reviewed.
Next step
Have a workflow that should be smarter?
Tell us what you are working on. The first conversation is about the problem, not a sales deck.