Galaksiya provides services on data management, machine learning, and agile software development. Detailed areas include big data, streaming data, data scraping/crawling, data engineering, machine learning, deep learning, natural language processing, large language models, knowledge graphs, and generative AI.

Follow.fashion is a knowledge graph powered big data analytics platform for fashion retailers. Its NLP engine enriches the unstructured text data by linking it to the knowledge graph. It offers competitor analysis in terms of design options and pricing. Follow.fashion helps retailers to sell the right products at the right prices and manufacturers to design the right products.

Designing a No-Code Supported Machine Learning Platform and Managing the DevelopmentDesigning Cloud-Native Scalable Microservices Architectures Designing Data Architectures - Knowledge Graph Management, Big Data Management (Ingestion, Querying and Analytics on Unstructured, Semi-Structured and Structured Data)Large Scale Web ScrapingRobotic Process Automation Natural Language ProcessingImage Processing DevOps Culture - Automated IT operations for highly autonomous teams, Infrastructure as Code, Metrics&Monitoring&AlertingData Science Life Cycle - MLOps, Continuous Monitoring to Manage Model RiskPlaying Product Owner, Product Manager, and Business Analyst roles - Agile Software Development KPIs for Better Delivery, Outlining Product Vision, Business Story Specification.Customer Success Mentoring and Training Programs for Junior Developers

Scalable Intelligent Systems/Services Machine Learning, Neural Networks, Deep Learning Natural Language Processing - Written and Spoken Language Understanding, Virtual Personal Assistants, ChatbotsIOT Infrastructures Data Architectures - Knowledge Graph Management, Big Data Management (Ingestion, Querying and Analytics on Unstructured, Semi-Structured and Structured Data) Large Scale Web Scraping DevOps Culture - Automated IT operations for highly autonomous teams, Infrastructure as Code, Metrics&Monitoring&Alerting Cloud Native Microservices ArchitecturesCloud Services such as AWS, GCPData Science Life Cycle - MLOps, Continuous Monitoring to Manage Model RiskPlaying roles of Product Owner, Product Manager and Business Analyst - Agile Software Development KPIs for Better Delivery, Outlining Product Vision, Business Story Specification

Intelligent Machines Natural Language Processing Scalable Web Crawlers & Applications & Services Knowledge Graph Management Linked Data Consultancy Intelligent Business Networks

Semantic Web AgentsWeb of Data (Linked Data) and the Semantic WebFederated Query EngineOpen Data Ontology-based Data IntegrationMulti-Agent Systems (Goal Oriented Agents and Requirement Engineering, Agent Organizations) Integrating J2EE with the Semantic Web and AgentsModel Driven Development

Agile Software DevelopmentExtreme ProgrammingTest Driven DevelopmentSemantic Web Agents (Planning Agents, Model Driven Development of Agents and Ontologies)WorkflowsSemantic Web Services