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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.

See why customers around the world trust Briancreators
Accelerate with our powerful partner ecosystem
Catch the latest news about Digital Inspectors
We are growing our business and our teams. Join us!
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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


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

Advanced Object Detections for Road Quality Maintenance with Geo-Information


Inspech: Automated Road Inspection

Together with our road inspection partners, BrainCreators develops solutions for Ai driven inspection of road quality. Advanced imagery, RGB, video, lidar/laser, and pointcloud, are integrated into a geo-spatial interface, making new insights possible and repairs more efficient. Under the hood, many Ai related questions still deserve closer research attention. 

BrainCreators wants to spend 1 year of R&D effort on the challenges involved in deep learning for object recognition integrated with suitable geo-information systems. Your team will aim to deliver a working module for the pipeline at the end of the research internship. A publishable paper should also be the aim of the research intern and their internal/external supervisors. 

Read the full article here

Engineering & MLOPs

The research intern will be partly responsible for integration of developed technologies into our product stacks, to facilitate deployment and scaling of the solutions with MLOps. 

While this requires a substantial amount of skills that are often different from typical Ai research, we hope to provide the research intern the opportunity to learn as much as possible and implement the solution together with our team. 

Support for working with data from image capture hardware will be provided by our partners and us. We also envision a modular character for the internship, where most of our topics of interest can be developed independently from the engineering questions related to image capture.

Your attitude

  • Workload contribution of 40h per week, 6-8 months (all activities related to your MSc program are included in this 40h, other jobs and classes are not)
  • Capable to work independently on your own research questions and experiments
  • Active participation in team effort when needed
  • Solid control of spoken and written English language
  • A strong opinion on ML research and how to apply it in practice
  • Solid fundamental knowledge of ML theory and practice
  • Overall knowledge level of a graduating Ai MSc student
  • Good PyTorch skills
  • Good understanding of the required mathematics
  • Good software development skills
  • Active participation in internal workshops, presenting your progress and discussing your experimental design choices with your team and other verticals in the company
  • Willingness to rewrite the thesis as a publishable paper
  • Co-authorship for your thesis supervisors on publications derived from the thesis.

What we can offer you

  • Be part of a growing company with a proven track record in applied Ai 
  • A research internship position on one of our vertical teams
  • Interaction with research interns from our other vertical teams, in a science-oriented horizontal research team. 
  • A protected environment for your research, without distraction by commercial deadlines of the team
  • Opportunities to contribute to the team by developing dual-use software: for your own research and the team’s products. 
  • Weekly supervision on scientific progress, experimental design, and thesis text 
  • Weekly supervision on software development and code reviews 
  • Daily contact with the vertical team, and morning stand-up meetings 
  • Weekly participation in internal ML workshops, sharing ideas with others 
  • Access to compute resources (in addition to University resources) 
  • Opportunity to work from home, or work from our HQs at Prinsengracht or Science Park Amsterdam. 
  • Financial compensation of 300 euros per month 
  • Learn all the essential things a Master program typically does not offer, e.g.,
    • onboarding with software development skills, 
    • MLOps skills, 
    • optimal use of compute resources, 
    • versioning of ML and datasets, 
    • collaboration software, 
    • and communication skills. 
  • Be the eyes and ears of your team, looking for promising academic developments that might be relevant to the vertical 
  • Opportunities to become a permanent team member, and join as ML engineer after the research internship.


mail : Maarten Stol