Data & Software Engineering from Austria
We create Data Platforms, Web and Mobile Applications, Automation, ML & AI Software.
Koveh Studio X Corporations
Koveh Studio
We create Data Warehouses, Web and Mobile Applications, APIs, Automation, ML & AI Software.
Data Engineering for Manufacturers
For businesses that need more data
Spreadsheets and vendor reports stop scaling past 100 SKUs. Gut feel costs more than the fix. Own your numbers and decide on evidence, not on what the ERP shows you.
Full Data Engineering Platform
Data Warehouse
We consolidate data from marketplaces, APIs, ERPs, CRMs, and files in one place. Automated pipelines extract data from sources on a schedule to keep the warehouse up to date.
Analytics & Visualization
Real-time dashboards for unit economics, logistics, ad campaigns, reviews, and competitors across departments. Automated PDF and Excel reports for compliance.
AI & Machine Learning
Dynamic pricing, demand forecasting, automated review analysis, ad optimization, and business-process optimization. We use mathematical modeling, machine learning, and neural networks.
AI & Machine Learning
Dynamic pricing, demand forecasting, automated review analysis, ad optimization, and business-process optimization. We use mathematical modeling, machine learning, and neural networks.
Data Mining
Getting data from different sources with Robotic Process Automation, APIs, your services, or simple data ingestion.
Data Governance
Regulating which department and which person have access to what data — roles, policies, and audit trails.
Technology Stack
ETL: Apache Airflow, Azure Data Factory, Debezium/Kafka.
Storage: ClickHouse, PostgreSQL, S3, Greenplum, Redis.
Visualization: Yandex DataLens, PowerBI, Koveh.com.
Orchestration & CI/CD: Kubernetes, Docker, GitLab/GitHub.
ML & AI: n8n, LangChain, TensorFlow.
Platform
Visualize databases and pipelines in one workspace
Miro-like enviroment with an agent. Work with your Airflow and s3 in a convenient interface.
About us
I'm Daniil, founder of Koveh Studio. My team and I build software and data infrastructure.
Over the past 7 years I worked with KPMG, UNIQA, Verbund, and others — web apps, AI integrations, RPA, data engineering. Different problems each time.
I focus on data engineering. AI, machine learning, and analytics only work when the architecture underneath is clean. For 1.5 years I built tools so data engineers can design and visualize ETL and databases at enterprise scale: tens of databases, thousands of users, custom roles.
Beyond the warehouse we also ship web and mobile apps, macOS tools, Telegram bots, RPA automation, and AI (RAG, assistants). On koveh.com: Flow for schemas and ETL, Airflow views, and an AI workspace — connect your stack, no migration.
If you have a project in mind — let's talk.
