Services
Predictive analytics and ML models
Demand, equipment failure and anomaly forecasting from historical and telemetry data.
We work with the data you have already accumulated and build models that answer a specific management question: when a unit will fail, how much to order, where the anomaly is. A mandatory step is honest validation across historical periods, so the model does not merely look good on paper.
What the work includes
- Audit of available data and assessment of achievable quality
- Feature design and baseline benchmarks
- Validation across historical periods rather than a random split
- Data drift monitoring after launch
Other services
Computer vision and video analytics
Real-time detection, tracking and event classification on existing cameras.
Learn moreLLM and natural language processing
Assistants, document data extraction and multimodal models for business tasks.
Learn moreMLOps and inference infrastructure
A model registry, reproducible training runs and inference that holds the load.
Learn moreData labeling and preparation
Production-grade datasets with annotator agreement under control.
Learn more