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Intelligent Digital Inspectors

BrainCreators delivers intelligent digital inspectors that automate visual inspection tasks.

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Surface Inspectors

A Digital Surface Quality Inspector
A Digital Road Surface Inspector
A Digital Radar Image Inspector
A Digital Inspector for quality control

Object Inspectors

A Conveyor Belt Item Inspector
A Digital Apparel Inspector
Create your own digital inspector

Spatial Inspectors

A GDPR compliant crowd inspector
A Digital Airport Asset Inspector
Become a domain partner
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About us

BrainCreators' Digital Inspectors are like super-powered employees who are trained on our BrainMatter platform so you can scale your business more Effectively & Cost Efficiently.

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Accelerate with our powerful partner ecosystem
Catch the latest news about Digital Inspectors
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Send us a message and we'll get back to you a.s.a.p.
Meet the BrainCreators team
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Intelligence Digital Inspectors
powered by Artificial Intelligence

Our clients and partners in various industries transfer their expert knowledge and skill to the BrainMatter platform to develop scalable Digital Inspectors.


Visual inspection of physical and organizational structures and facilities
Visual inspection of goods on large scale production lines
Visual inspection of indoor and outdoor places & spaces
Visual inspection for products, stores, and warehouses
Visual inspection in smart cities, public transport and event spaces
Visual inspection of pipes, cables, and power lines


Explore E-books, whitepapers and more

AI in practice

A knowledge hub for everything related to digital inspectors and the AI that powers them


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Available eBooks

Employing intelligent automation for better business operations
Digital Inspectors accelerate workflows at lower costs.
How to use Artificial Intelligence (AI) without a degree in data science

The 7 habits of highly effective asset management
3 Successful Business Cases in Infrastructure
Revolutions in civil infrastructure management

How digitial inspectors decide

Instant reality check 

Decision making relies on the interpretation of what we perceive.

Prior knowledge of what objects are supposed to look like, where they are positioned and what issues can arise is required for an accurate assessment of visual information.

Performing the task of visual inspection is called inference in machine learning language. Inference is the process of recognizing pre-learned patterns in data. In other words: applying existing knowledge to an incoming image. Is everything as it should be? If not, what's wrong?

In a manufacturing context, for example, more than half of quality checks involve visual confirmation to ensure parts are in the correct locations, have the right shape or colour or texture, and are defect free. BrainMatter learns to recognize when these parts are not in the right place, out of shape or the wrong colour/texture, and/or defective.

Inference can be performed on a central machine or on many edge devices.


Learning a skill

The knowledge that digital inspectors use to interpret the state of an asset is learned from a human expert who curated the examples to learn from. 

The actual learning process happens in processing cycles called training. In a training session examples are fed to the AI models in our BrainMatter platform. After a training session your domain experts analyze the  performance in order to decide if additional examples are required to strengthen the system's knowledge. Once a skill is learned digital inspectors can perform the inspection task automatically.

Each time the digital inspector interprets an image the result becomes a new example it can use to strengthen its knowledge about the object, or collect into a set of examples to learn about a new object, a property of that object or a detectable error.

Human experts serve as coaches to guide the continuous learning process, by curating new examples for digital inspectors out of processed inputs.

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