Insights.
Two strands. Buyer insights are about the problem on your site and what the fleet does about it. Engineering notes are about how it's built and tested, written for the curious and kept off the sales path.
Buyer insights
For operations, finance, security and site owners.
Security
Why randomised patrol routes are a security requirement, not a feature
Criminals time repeating patterns. Why every patrol route is randomised after every dock, and what that costs and buys in fleet design.
Platform
Smart robot, smarter site: why warehouse robots don't work on mines
Thin-client fleet robots need a perfect map and a perfect network. Why MoLogica robots carry perception on board and lean on an AI server at the site.
Security
The patrol layer that can't be bribed
On many South African sites the guarding layer is the vulnerability. Why the case for patrol robots rests on integrity, not on replacing guards.
Hardware
Ground beats air
A drone spots. A ground robot sits on the problem. Why MoLogica builds persistent patrols on wheels and legs, and where drones still fit.
Platform
One robot, two buyers
Security and stock audit on one circuit. How the same robot patrols a depot at night and reads rack and pallet labels on the same pass.
Hardware
Why we buy bare bodies and fit our own sensors
Configured, never custom-built. Why MoLogica buys mass-produced robot bodies, fits one standard sensor kit and brain, and runs one software image.
Guide
Digital twins
A virtual copy of a site where the fleet is tested, sized and demonstrated before any hardware is ordered, then kept as the test course for every new model.
Engineering notes
How it's built and how it's tested.
AI
What 538 positions and 1 millisecond taught us about on-robot AI
An overnight simulation run: a cloud model labels, a small model learns, and answers come back about 3,000 times faster. What it proved, and what not.
Safety
No AI in the control loop: how a MoLogica robot stays safe
Six safety rules built into the architecture, from a whitelist that refused 'chase the intruder' to a watchdog that stops the robot in 0.94 s.
Method
How we test: the proof gate
One script, the full scenario, end to end. How the proof gate works, what passed in a simulated depot, and why it ran on two robot bodies.
Hardware
CPU, GPU and where each earns its keep on a robot
Physics on fast CPU cores, images and models on the GPU, and why the trained inspection model ran in about 1 ms on a GPU against 15 ms on a CPU.
Guide
Edge AI
On-robot AI answers in milliseconds, keeps working with no network, keeps footage on site and costs nothing per call. How it gets there, and CPU versus GPU explained.
Guide
Hardware-agnostic robotics
Robot bodies are becoming commodities. The value is in the software that plans, supervises, inspects and learns, running on whichever body does the job best.
Glossary
The terms a buyer meets on this site, in plain language.
Ready to see robots patrolling your site?
Before any hardware is bought, we can build a simulated copy of your site and show the fleet patrolling it at night while you configure the checks in plain language.