We build AI, robotics and computer vision solutions for industry.
We support companies as a remote R&D team.
Our systems are used in quality control, defect detection, robotics automation and AI-powered products.
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Case Studies

Coco
Coco is a leading robotic delivery service that deploys remotely piloted sidewalk vehicles to make last-mile deliveries more affordable, reliable, and sustainable.
With xBerry’s support and collaboration, Coco has achieved significant improvements in the reliability and performance of their onboard software stack.

Automatic Grinder
Automatic Grinder’s exceptional capabilities enable the automation of intricate grinding tasks, maintaining an astonishing accuracy level of up to 0.2 mm.

SpaceOS
SpaceOS is a Mixed Reality System designed for our Swedish partner. SpaceOS enables users to interact with interfaces and objects by performing hand gestures.

Antycheat
Antycheat is a game-changer that revolutionizes fair competition in the gaming industry by combating user-generated cheats through our groundbreaking product.
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Contact usAI, computer vision and robotics for manufacturing
AI & robotics - your questions answered
What AI and robotics services do we offer?
We offer AI and robotics services including computer vision systems, embedded AI, robotics software and integration with existing systems such as ERP and IoT.
Our services are used by startups building new products and industrial companies automating processes.
How do we help companies implement AI and robotics solutions?
We help companies implement AI and robotics by acting as an external R&D team or technology partner. The process includes defining the problem, building an MVP (prototype), and deploying the system in a production environment.
This approach allows companies to validate whether AI delivers real value before full implementation.
What AI and robotics projects have we delivered?
We have delivered projects in computer vision (such as quality inspection), process automation, and robotics systems used in industrial environments. Our systems operate in real-world conditions such as factories, devices, and production lines.
Each project includes a defined problem, applied technologies, and measurable results.
👉 Explore our case studies and project examples
How to start working with us on an AI project?
To start working with us, we begin with a short consultation to understand the problem and define possible technological approaches. Based on this, we define the project scope, timeline, and estimate, often starting with an MVP.
This allows companies to start quickly and minimize implementation risk.
Ergonomics That Sees More – How Computer Vision Helps Protect Workers
Automatic Eyes of the Sorting Plant – How Computer Vision Supports Recycling
When AI Sees Every Move – Computer Vision in Sports and Training
AI and robotics - what you need to know
How much does AI or computer vision implementation cost?
The cost of AI or computer vision implementation depends on project complexity, data availability, and integration with existing systems. A simple MVP typically starts from tens of thousands of euros, while advanced industrial systems can cost significantly more.
👉 Explore our AI services
How long does an AI or robotics project take?
An MVP can typically be delivered within 6–8 weeks. Production-ready AI or robotics systems usually take between 3 and 9 months, depending on scope and complexity.
Do we need our own data to implement AI?
In most cases, implementing AI requires project-specific data. Data collection, preparation, and annotation are standard parts of the process, although pre-trained models or synthetic data can sometimes be used.
Can AI be integrated with existing systems (ERP, IoT, embedded)?
Most AI implementations involve integration with existing systems such as ERP, IoT devices, and embedded platforms. AI systems are typically designed to work within the existing infrastructure of a company.
Do you deliver MVPs or full-scale implementations?
AI projects can be delivered both as MVPs and full-scale implementations.
Starting with an MVP is a common approach used to validate the idea before scaling to a production system.
👉 See how we deliver projects in our case studies.
What industries do you work with?
AI and robotics solutions are commonly implemented in manufacturing, robotics, logistics, and technology companies. These systems are used in real-world applications such as production lines, devices, and automation processes.
👉 Learn more about our projects and industries.



