Our AI Team
Sofia
Ivan
Vlad
Anton
Technolody Stack
Our Clients
Featured Cases
Full Cycle Development
By Industry
Other projects
Yellow in Numbers
$2.1B+
Value generated through AI innovation47
Custom LLMs and AI agents deployed30M+
Engaging with products we created98%
Projects delivered within agreed budgetWe combine deep expertise in machine learning engineering, data architecture, MLOps, and cloud-native development to deliver scalable, secure, and production-ready AI systems.
From machine learning pipelines and predictive analytics to AI infrastructure, we provide end-to-end data science services for organizations of all sizes.
We build custom AI solutions designed to process and analyze unstructured data using technologies such as NLP, computer vision, OCR, speech recognition, and semantic search.
We design and deploy machine learning systems tailored to complex business environments and high-volume data ecosystems.
Our expertise covers model fine-tuning, Retrieval-Augmented Generation (RAG), prompt engineering, vector search, and secure deployment architectures optimized for performance, accuracy, and production reliability.
Our expertise includes ETL/ELT pipelines, real-time data processing, distributed architectures, data lakes, warehouse modernization, and automated data quality monitoring for enterprise-scale analytics workloads.
We develop enterprise-grade data science and AI solutions that combine machine learning, scalable data infrastructure, and cloud-native engineering.
We develop intelligent image and speech recognition systems that enable automated visual analysis, voice processing, object detection, transcription, and real-time multimedia understanding.
We develop recommendation and personalization engines that leverage machine learning and behavioral analytics to deliver tailored content, product suggestions, and user experiences.
We develop NLP and computer vision solutions that enable intelligent text and image processing, including semantic analysis, document understanding, object detection, visual recognition, and automated content interpretation.
We develop advanced forecasting models that use machine learning and predictive analytics to improve demand planning, financial forecasting, risk assessment, and operational decision-making.
We follow a structured development lifecycle to deliver scalable, production-ready AI solutions from discovery to deployment and optimization.
We analyze your business and technical requirements as well as data maturity. You will get a technical roadmap, solution architecture and delivery strategy.
We collect, clean, transform, and structure data to ensure high-quality inputs for analytics and machine learning workflows.
We build scalable data pipelines and processing architectures that support reliable, high-performance analytics environments.
Our team develops and evaluates machine learning models using iterative experimentation frameworks. We validate model accuracy through rigorous testing and performance evaluation.
We deploy AI models into production environments and integrate them seamlessly with existing platforms, applications, and workflows.
We continuously monitor system performance, detect model drift, and optimize infrastructure and algorithms to maintain long-term efficiency and accuracy.
We develop healthcare AI and data science solutions by combining machine learning, advanced analytics, automation, and scalable data infrastructure.
We develop intelligent healthcare solutions that improve diagnostics, patient care, operational efficiency through predictive analytics, medical imaging AI, clinical NLP systems, and forecasting platforms.
We build fintech systems for credit scoring, transaction monitoring, predictive analytics, and intelligent financial automation with a strong focus on security and performance.
We develop intelligent logistics and supply chain systems that improve operational visibility, route optimization, forecasting accuracy, and resource management.
We build recommendation engines, dynamic pricing systems, inventory optimization platforms, and customer behavior analytics designed to increase conversions and customer retention.
For education sector we create recommendation engines for learning content, AI tutoring platforms, predictive student performance analytics, and NLP-powered educational assistants.
We develop content recommendation engines, video and audio analytics, generative AI applications, user behavior modeling, and real-time engagement optimization platforms.
We focus on performance, scalability, security, and long-term maintainability to deliver data science solutions tailored to your needs.
We automate repetitive workflows, reduce manual analysis, and optimize resource allocation through intelligent AI systems.
Our specialists deploy AI systems capable of handling growing data volumes, increasing user demands, and evolving business requirements.
We automate complex and repetitive business processes with AI-driven solutions that improve operational efficiency and reduce manual workload.
Applying scientific analytics, advanced statistical and machine learning models to improve planning, forecasting, and risk mitigation.
We deliver highly personalized interactions, recommendations, and intelligent automation across customer touchpoints.
We provide scalable AI infrastructure, continuously optimized data systems, and future-ready solutions designed to evolve with your business and technological growth.
The set of tools we use for our work:
Python, Scala, Java, Go
TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, Hugging Face Transformers
Apache Spark, Kafka, Hadoop, Airflow
Amazon Web Services, Microsoft Azure, Google Cloud Platform
Snowflake, BigQuery, Redshift, PostgreSQL, MongoDB, Cassandra
MLflow, Kubeflow, Docker, Kubernetes, Terraform, ArgoCD
Tableau, Power BI, Looker, Grafana, Superset
How long does a typical data science project take?
Can you integrate with existing systems?
How does data science help businesses?
Do you provide MLOps implementation and support?
Do you work with structured and unstructured data?