Industry: AI Region: Bulgaria Transaction price: US$ 1 million Transaction method: equity investment
Project introduction:
A service-oriented technology company in Bulgaria, focusing on delivering digital transformation projects and building customized artificial intelligence solutions within the Python ecosystem.
AI/ML: Good at using deep neural network, random forest and SVM (Support Vector Machine) for classification algorithm; He also has experience in predictive maintenance using signal processing, classification and regression techniques.
BI and data:
Business intelligence service
Design and develop end-to-end solutions for data analysis, including infrastructure, storage, data warehouse, data modeling, ETL and reporting.
Database migration service
You can use the best practices of Extract-Transform-Load (ETL) to migrate multiple data types and business logic patterns.
Storage migration service
Storage migration services allow users to access their data without changing paths or links, thus providing faster performance and cost-effective scalability.
Core technology:
● Data Science and Machine Learning:
Data preparation: Numpy, Pandas, SKLearn
Machine learning: various algorithms from SKLearn
Deep learning: Tensorflow, Keras
Visualization: Matplotlib, Plotly
Natural language processing: FastText, Spacy, NLTK
Data layer: MS SQL Postgres, MySQL, MongoDB, Raven DB.
Development and scripting: Python, Flask, Django python framework
API layer: FastAPI, Falcon, uvicorn, gunicorn, HTTP, Rest, MQTT, Spring-APIs.
● Data management and business intelligence
Data warehouse: MS SQL, Oracle, Snowflake, Azure Cosmos DB, Databricks, etc.
Data Migration and Transformation: SSIS, Azure
Data processing and analysis: SSAS, Azure Synapse, Power BI.
Visualization and reporting: Power BI, Tableau
Databases: Google Big Query, MS SQL, Postgres, MySQL, Oracle, MongoDB, Raven DB.
Application field:
Industry 4.0, automobile manufacturing, supply chain, agriculture, financial and insurance services, retail industry, etc.
Intentional cooperation company
1. Companies with data analysis, business intelligence or artificial intelligence related projects in manufacturing, finance, automobile, retail, logistics and media entertainment.
2. Lack of technical team or delivery of the project requires a digital transformation consulting company.