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 their own data
Past 100 SKUs, spreadsheets and vendor reports fail. Gut feel costs more than the fix. Own the numbers. Decide on evidence, not on the ERP screen.
Full Data Engineering Platform
Data Warehouse
One warehouse for marketplace, API, ERP, CRM, and file data. Pipelines extract on a schedule. Fresh data, no manual export.
Analytics & Visualization
Live dashboards for unit economics, logistics, ads, reviews, and competitors. One view for every department. PDF and Excel reports for compliance.
AI & Machine Learning
Price dynamically. Forecast demand. Read reviews. Tune ads. Cut process waste. Math models, machine learning, neural nets.
AI & Machine Learning
Price dynamically. Forecast demand. Read reviews. Tune ads. Cut process waste. Math models, machine learning, neural nets.
Data Mining
Get data from any source. RPA when there is no API. APIs and your services when there are. Simple ingest for files.
Data Governance
Control access by department and by person. Roles, policies, 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. I and my colleagues are building software and data infrastructure.
In the past 7 years I worked with KPMG, UNIQA, Verbund, and many more. Each engagement was different: web applications, AI integrations, RPA automation, Data Engineering.
I focus on Data Engineering. AI, Machine Learning and analytics require clean data architecture and data mining. For 1.5 years I was creating tools for Data Engineers so that we could create and visualize ETL, Databases on scale – suitable for enterprises with tens of databases and thousands of users with custom roles and needs. With experience in Web/Mobile/MacOS Apps, RPA and AI we build something the normal engineers can't build.
If you have a project in mind — let's talk.
