Our technology
Predictive AI
Forecasts from your own history: which machine will fail, what demand will be and where a delay is coming, early enough to act.
Predictive models learn from your sensor logs, service history, orders and schedules. They flag equipment likely to fail, forecast demand and stock, and warn about delays before they reach the customer.
Each forecast comes with the data behind it and a confidence level, and a person decides what to do with it. Models are re-evaluated against real outcomes, so accuracy is measured and not assumed.
Research on arXiv
- Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
- Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
- DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
Used in
See it on your own data
We start with an MVP on your screens, devices or tickets. Request an MVP and bring a real use case.
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