• Case study

    Coco

    a leading robotic service for reliable and sustainable food delivery

    Learn more
    Coco
  • Case Study

    Crossing Guard

    AI solution for safe passage through a rail crossing

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    Crossing Guard
  • Case Study

    Vaccine Cold Chain

    continuous and fully automated supervision of vaccines

    Learn More
    Vaccine Cold Chain

We turn ideas info future-proof solutions.
We are xBerry - your remote R&D Department.

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Our clients

Case Studies

Coco

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

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

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

Antycheat is a game-changer that revolutionizes fair competition in the gaming industry by combating user-generated cheats through our groundbreaking product.

What are the customers saying?

    The engagement has seen a 99.7% increase in system uptime, whilst reducing around 80% of errors. xBerry R&D House has completed development on basic platform capabilities within two months, the team choosing to keep at a reasonable pace to produce impressive results.
    Katarzyna Stehlik
    Szajna Snap is a market hit ever since it was released! The app achieved 40% of the yearly KPI within two weeks from its release. Our customers loved the application. Szajna Snap’s functionality solves most of the problems that opticians face in their daily work. It’s intuitive and well designed. xBerry helped us develop a solution that makes a difference in the market.
    Agnieszka Menczykowska
    The MVP allowed the startup to secure a second round of funding, paving the way to a fully functional platform. xBerry R&D House was agile throughout the project. The team prioritized delivery and adjusted to scope changes with little to no friction.
    Mariusz Szypura
    I was impressed by how quickly they understood the project. Their team helped us to shape our idea into features and code. They ultimately delivered software that improved our company’s efficiency.
    Tomasz Jamka
    The deliverables have received praise for their quality, and the partner's satisfied. xBerry R&D House communicates effectively and provides progress updates. Their agile methodology complements their project management style. They've been a true partner and act as an extension of the client's team.
    CFO
    What I value the most was their accessibility. They were always eager to help with resolving our issues and answering our questions.
    Kamil Lipiński
    Project Management was on spot. I was reported weekly with the progress, all the issues were taken care of immediately after addressing them, communication was phenomenal.
    Piotr Staniek
    They fully understood our needs, and the project scope was elastic enough to introduce changes during development. Their agile approach allowed us to avoid a lot of unnecessary costs and provided solid functionalities we didn't know we needed.
    Wiktor Włodarczyk

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SERVICES

Computer vision services and solutions

Defect detection
Object detection
Quality inspection
Computer vision services and solutions

IoT solutions

Edge AI
Embedded Systems
Wireless communication
IoT solutions

Robotics software

Autonomous navigation
Cobot integration
Robot Perception
Robotics software

AI & robotics - your questions answered

01

What AI and robotics services do we offer?


We help companies design and implement AI and robotics solutions - from idea to a production-ready product. We specialize in computer vision, embedded systems, robotics software and AI integration with existing systems (IoT, ERP, and applications).

We support both startups building new products and industrial companies looking to automate processes.

02

How do we help companies implement AI and robotics solutions?


We act as an external R&D department or a technology partner. We start by understanding the business problem, then develop a concept and prototype (MVP) and finally deploy the solution in a production environment.

This approach minimizes risk and allows you to quickly validate whether AI delivers real value.

03

What AI and robotics projects have we delivered?


We have delivered projects in computer vision (e.g. quality inspection on production lines), process automation and robotics systems for industrial applications. Our solutions operate in real-world environments - in factories, devices and client products.

Each project is presented as a case study, showing the problem, applied technologies and measurable results.

👉 Explore our case studies and project examples

04

How to start working with us on an AI project?


We start with a short consultation to understand your problem and propose possible technological approaches. Based on that, we define the project scope, provide an estimate, and recommend next steps - often starting with an MVP.

This allows you to make decisions quickly and start your project with minimal risk.

Blog

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? Faq icon

The cost depends on project complexity, data availability and integration with existing systems. A simple MVP can start from tens of thousands of euros, while more advanced industrial systems can cost significantly more.

👉 Explore our AI services

How long does an AI or robotics project take? Faq icon

An MVP can typically be delivered within 6–8 weeks. Production-ready projects usually take between 3 and 9 months, depending on scope and complexity.

Do we need our own data to implement AI? Faq icon

In most cases, yes - but we can help with data collection, preparation and annotation. In some projects, it is also possible to use pre-trained models or synthetic data.

Can AI be integrated with existing systems (ERP, IoT, embedded)? Faq icon

Yes - most AI implementations involve integration with existing infrastructure. We design solutions to work seamlessly with your current systems, including IoT devices, embedded platforms, and enterprise software.

Do you deliver MVPs or full-scale implementations? Faq icon

Both options are possible. We often start with an MVP to quickly validate the idea and then scale to a full production deployment.

👉 See how we deliver projects in our case studies.

What industries do you work with? Faq icon

We typically work with companies in manufacturing, robotics, logistics, and technology startups, helping them implement AI and automation in real-world applications.

👉 Learn more about our projects and industries.