• 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

    Learn more
    Crossing Guard
  • Case Study

    Vaccine Cold Chain

    continuous and fully automated supervision of vaccines

    Learn More
    Vaccine Cold Chain

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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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

Planning a digital project?

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AI, computer vision and robotics for manufacturing

Computer vision for quality inspection

Defect detection
Object detection
Quality inspection
Computer vision for quality inspection

IoT and Embedded AI Systems

Edge AI
Embedded Systems
Wireless communication
IoT and Embedded AI Systems

Robotics software for Automation

Autonomous navigation
Cobot integration
Robot Perception
Robotics software for Automation

AI & robotics - your questions answered

01

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.

02

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.

03

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

04

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.

Blog

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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 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? Faq icon

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? Faq icon

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)? Faq icon

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? Faq icon

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? Faq icon

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.