Our AI development experts design intelligent solutions that help automate processes, predict future trends, and efficiently work with large volumes of data. We focus on machine learning (ML), natural language processing (NLP), computer vision, and generative AI.
We have experience with projects in logistics, healthcare, media, the public sector, and fintech, where AI brings real business value – from accelerating decision-making to increasing the accuracy of internal processes.
We provide experts skilled in technologies such as TensorFlow, PyTorch, OpenCV, Hugging Face, LangChain, or custom LLMs, capable of designing solutions from data pipeline architecture to model deployment in production.
Our specialists also understand challenges such as ethics, bias, result interpretability, and inference optimization – delivering AI that truly works in real-world operations.
Technology / Approach | Advantages | Disadvantages | Use cases |
---|---|---|---|
TensorFlow | Broad support, production-ready, strong ecosystem | More complex setup and debugging | ML models, production AI systems |
PyTorch | Flexibility, intuitive syntax, research-friendly | Less stable for enterprise deployment | Research, prototypes, flexible experimentation |
OpenCV | Efficient for image processing | Limited capabilities for deep learning | Image processing, computer vision |
Hugging Face | Rich library of pre-trained NLP models | High performance demands during inference | Natural language processing, NLP, chatbots |
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