Applications

Turn “could we?” into your next automation idea.

Could your system explain an unusual reading, compare rooms or control new equipment? MIND AIoT brings those possibilities together — for smaller industrial facilities, new or existing, and the hardware systems you build.

On this page

Three starting points

Start fresh.
Or build on what you have.

Illustrative scenario

A new system, your choice of hardware

Choose the sensors, controllers and other components for the room you’re commissioning. Around a MIND AIoT Node, the platform connects them and develops how they work together.

Imagine asking: “Follow temperature and humidity in this room. Alert me when conditions stay outside the limits for ten minutes.”

Illustrative scenario

From manual checks to useful answers

Add sensing around equipment you already use. Custom monitoring and background diagnostics help distinguish changing conditions from a device that needs attention.

Imagine asking: “Check why this sensor stopped updating and include the findings in my morning report.”

Illustrative scenario

More from existing automation

Connect available equipment data and build the feature you’re missing. Cloud applications bring readings from multiple edge devices into one analysis.

Imagine asking: “Compare the production rooms overnight. Show which room was outside its temperature range most often.”

These are examples to explore with us. Equipment connections and each new function are verified for the actual installation.

See two systems already built on MIND AIoT

Illustration of a commercial greenhouse with growing crops, a greenhouse node and a temperature and humidity sensor, monitored locally and remotely.
Illustrative example: controlled-environment production with a node and sensor, monitored locally and remotely.

Keep building

One sensor today.
A connected operation tomorrow.

Illustration: a system that starts with one node and one sensor, scales to local control at every node in a full facility, and reports into one customer workspace.
Start small, scale with the facility: local control at every node, one shared workspace.

Every system starts from the MIND AIoT Node and grows one component at a time: another sensor, local automation, then cloud reports and applications that combine devices. Existing controls can remain in place while MIND AIoT adds the connection, report or feature that is missing.

Explore hardware integration

Where we started. Where we’re going.

Production roots.
Possibilities across industries.

MIND AIoT’s application background

Black soldier fly production

MIND AIoT’s strongest operating experience is industrial black soldier fly (BSF) production: monitoring conditions, controlling equipment and investigating problems in operating facilities.

For BSF process expertise and bioconversion projects, visit Manna Insect.

BSF bioconversion expertise — Manna Insect

Applications to develop together

Controlled-environment production and beyond

Controlled-environment production is an early focus, and the platform is designed for broader industrial applications — including equipment and connected products.

Have a different application in mind? Bring us the problem and hardware. We’ll explore the fit and the first function to test with you.

Illustration of production rooms in an industrial facility, with ventilation and control equipment connected to local and remote monitoring.
Illustrative example: production rooms with local and remote monitoring.
Illustration of a factory floor with machines and robots, a factory node collecting machine data, and an integrated monitoring and control centre.
Illustrative example: factory-scale data and monitoring.

Start with the possibility

What do you wish your system could do?

Tell us your idea