Geovisualization system from idea to industrial solution
Geovisualization system for data analysis and visualization on maps.
Services / AI & analytics
AI & analytics ML, Big Data, BI
We implement ML and big data for business impact and automation.
How we build AI & analytics
- Результат
- Business goals, KPIs and data sources aligned
1Discovery and goals
Interviews and task analysis: what decisions are made on data, what metrics matter, what hypotheses to test.
- Результат
- Source map, data quality and DWH/Lake architecture
2Data and infrastructure
Audit of sources, schemas and access; data quality assessment, pipeline design (ETL/ELT), storage selection.
- Результат
- Hypotheses, features and model/dashboard prototypes
3Models and analytics
Feature engineering, algorithm selection (ML/classic/LLM), prototyping; BI dashboard and metrics design.
- Результат
- Pipelines, monitoring and release automation
4MLOps and prod
Task orchestration, model and analytics deployment, quality and drift monitoring, A/B experiments.
- Результат
- Integration and measurable ROI
5Implementation and impact
We embed in processes, train the team, set up impact metrics and optimize cost of ownership.
From data to decision in weeks
We build data pipelines, train models and create BI dashboards. Production circuit and MLOps — right in the project.
- ML models for tasksForecasting, classification, recommendations, NLP/LLM.
- MLOps and monitoringDeployment, drift monitoring, A/B experiments.
- Data pipelines and DWHETL/ELT, orchestration, data quality and catalogs.
- BI dashboards and self-serviceMetrics, visualizations and data-driven decision making.
