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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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Expert AI Technology Assessments for VCs M&A & Procurement
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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


The Automagic Podcast

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

A practical business case in infrastructure


Before a contractor can operate on subsurface infrastructure, information derived from ground radar scans is needed for decision-making. The extent and quality of this information however is often constrained by time pressure, potentially leading to catastrophic results from a safety and economic perspective.

The case study MapXact in our new ebook "3 practical business cases in asset and maintenance management" illustrates how artificial intelligence can streamline workflows and improve efficiency.

At MapXact, employees used to spend vast amounts of time driving a ground radar scanner over kilometres of roads then working for up to three days to interpret the acquired scans. The MapXact team searched extensively for a solution that could accelerate this process before realizing that the answer lay in intelligent automation, based on artificial intelligence.

BrainCreators BrainMatter platform reduces the time required to analyze ground radar scans from days to minutes, enabling MapXacts customers to focus on more productive tasks.

Intelligent automation is achieved when a machine learns to perform an expert task from examples and by following specific business rules. In this case, there were many examples available because human experts previously performed the task.

The business rules define how the information extracted from the radar scans is visualized in a 3D representation of the underground infrastructure. Once engaged, BrainMatter keeps learning on the job, leading to better performance in an even shorter time. Eventually, Mapxact will offer a real-time underground analysis in an augmented reality interface.

For MapXact, our BrainMatter technology has directly impacted how the company operates by allowing it to continue to use the most effective method of mapping subsurface infrastructure.

MapXact’s services help infrastructure developers and managers ensure their projects don’t interfere with underground cables and pipes. Ground radar produced detailed images, but each of the thousands of images generated at each site had to be viewed manually to distinguish between disturbances created by natural materials and those created by existing infrastructure.

By using artificial intelligence to review these images, MapXact’s analysts can focus on more productive tasks while ‘teaching’ the system to improve its analytical abilities.

Are you interested to have more in-depth information about these cases? Download our free ebook!


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