Project notes
Inside Divault
AI infrastructure for machines that perceive, reason, and act.
Divault connects robots and edge devices to cloud intelligence, providing the infrastructure for perception, reasoning, memory, and action without rebuilding the entire AI stack for every machine.
The problem
Every new machine needs more than a model. It needs a way to connect perception, reasoning, memory, and action. Divault’s aim is to provide that shared infrastructure so those capabilities don’t have to be rebuilt for every robot or edge device.
How the pieces fit
The three stages describe the product’s direction: connect what a machine perceives with the context it needs to reason and act.
- Perceive
- Perception is the input: connect robots and edge devices to cloud intelligence.
- Reason
- Reasoning and memory provide context between what a machine perceives and what it does next.
- Act
- Action completes the loop, with shared infrastructure supporting the machine rather than a separate AI stack for each device.
Taking it beyond the build
Divault is my main project. It won first place at the WNE FinTech + AI 413 Startup Launch Series, and I also presented it at the Mass Fintech Hub Startup Pitch Battle in 2026.
