Intelligence that truly supports business.
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Artificial Intelligence (AI) & Machine Learning (ML)
In a world where digitalization is driven by data and algorithms, artificial intelligence is becoming a key engine of innovation and competitive advantage. AI-based solutions enable companies across various industries to improve operational efficiency, predict behavior, and optimize processes – thereby enabling sustainable growth.
We provide our clients with ML and AI specialists who combine technological expertise, analytical thinking, and creativity in building intelligent solutions.
We deliver experts who can seamlessly integrate into organizational structures, supporting the development of learning systems, process automation, and the effective use of data.
Machine Learning Engineering
Deployment of ML models in production environments (MLOps). Specialists design scalable machine learning pipelines and automate the training, testing, and monitoring of models.
Data Science & Predictive Modeling
Development of analytical and predictive models based on historical data. Data Science teams design regression, classification, and clustering models that deliver real business value.
Responsible AI & Model Governance
Risk management and ethics in artificial intelligence – from model audits to bias control and regulatory compliance (AI Act, GDPR). We help organizations build trustworthy AI systems.
Edge AI & Real-Time Inference
Deployment of AI models on edge devices, IoT applications, and industrial systems. We enable real-time data processing without the need to transfer data to the cloud.
Natural Language Processing & GenAI
Natural language processing (NLP), text analysis, chatbots, conversational systems, and generative models (LLMs). We design solutions that enhance customer service, automate communication, and process text-based documents.
Computer Vision
Design and implementation of image, video, and signal recognition systems. AI solutions support quality control, medical analysis, object detection, and production process monitoring.
MLOps & Model Monitoring
Implementation of automated model training, testing, and versioning processes. Our engineers build CI/CD environments for ML models, ensuring quality, stability, and auditability.
AI Strategy & Roadmap
Creation of AI implementation strategies within organizations from use case identification to transformation planning and AI solution scaling. Our experts help companies understand the potential of data and select the most effective development paths.
Artificial intelligence.
Automation with purpose.
Unlock the potential of artificial intelligence. Automate processes and build models that truly support your business growth.
Discover what tasks our IT teams can deliver for your organization
Logistics and Transportation
- Demand forecasting and route optimization – ML models predicting transportation demand and reducing operational costs.
- Computer Vision in cargo inspection – automated analysis of shipment images and detection of damaged goods.
- Logistics chatbots – AI assistants for customer inquiries and shipment tracking.
Finance
- Fraud and anomaly detection – predictive models analyzing transactions in real time.
- Credit risk analysis (Credit Scoring) – machine learning supporting credit decision-making.
- Generative reporting – automation of financial reports and analyses using LLMs.
Industry and Manufacturing
- Computer Vision for quality control – defect detection and automated inspections.
- Predictive Maintenance – ML models forecasting machine failures based on IoT sensor data.
- Production process optimization – AI algorithms analyzing line parameters and recommending adjustments.
E-commerce
- Offer personalization and product recommendations – recommendation systems based on purchase history and customer behavior.
- Sales and support chatbots – customer interaction automation using NLP and LLMs.
- Sentiment and review analytics – real-time analysis of customer feedback to improve user experience.
Healthcare
- Diagnostic image analysis (Computer Vision) – supporting physicians in interpreting X-ray, MRI, and CT scans.
- Disease risk prediction models – analysis of clinical and historical data to forecast health risks.
- Medical documentation processing (NLP) – automated data extraction from reports and patient records in compliance with GDPR.
Other
- Generative AI for content and documentation creation – automation of product descriptions, reports, and analyses.
- Emotion and user behavior analysis (AI Emotion Recognition) – application of AI in UX research and marketing.
- AI Governance & model audits – assessment of risk, transparency, and compliance with legal requirements (AI Act, GDPR).
Top experts in intelligent technologies.
Discover the key roles that support your AI & ML strategy.
Data Scientist
MLOps Engineer
AI Architect / AI Solutions Architect
Applied AI Engineer
AI Researcher / Research Scientist
Machine Learning Engineer
AI Product Manager
NLP Engineer / Conversational AI Specialist
Computer Vision Engineer
Tools that deliver value. We select proven technologies for your success.
Machine Learning Frameworks
TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, CatBoost, H2O.ai
MLOps & Deployment Platforms
MLflow, Kubeflow, Vertex AI (GCP), Azure ML, AWS SageMaker, Neptune.ai, DVC, Airflow, Prefect
Data Analysis & Processing Tools
Pandas, NumPy, Spark MLlib, Databricks, Polars, RAPIDS.ai, Dask
Natural Language Processing (NLP) & GenAI
Hugging Face Transformers, OpenAI API, LangChain, Rasa, spaCy, NLTK, Cohere, Anthropic Claude, Llama, Vertex AI GenAI Studio
Computer Vision
OpenCV, YOLO, Detectron2, MediaPipe, TensorRT, ONNX Runtime, PyTorch Vision, Roboflow
Model Monitoring & Drift Detection
Evidently AI, Arize AI, WhyLabs, Fiddler AI, Seldon Core, BentoML, DataRobot MLOps
Big Data & Infrastructure
Apache Spark, Kafka, Snowflake, Delta Lake, Redis, MinIO, Kubernetes, Docker
Responsible AI & Explainability
SHAP, LIME, AI Fairness 360, What-If Tool, Google Model Cards, Microsoft Responsible AI Dashboard