Discover the modern data management

Create and deploy data-driven aplications at scale, in days, not months.

1 - Explore your historical data

Drag and drop your data sources, synchronize, clean them, and explore the hidden correlations using our pre-built functions and visualizations. Prepare your datasets and train your own AI models.

2 - Run and test your data flow

3 - Deploy your app with real-time data

4 - Publish your dashboard

1 - Explore your historical data

Drag and drop your data sources, synchronize, clean them, and explore the hidden correlations using our pre-built functions and visualizations. Prepare your datasets and train your own AI models.

2 - Run and test your data flow

3 - Deploy your app with real-time data

4 - Publish your dashboard

1 - Explore your historical data

Drag and drop your data sources, synchronize, clean them, and explore the hidden correlations using our pre-built functions and visualizations. Prepare your datasets and train your own AI models.

2 - Run and test your data flow

3 - Deploy your app with real-time data

4 - Publish your dashboard

Explore our full product site

Data integration

Integrate and combine different data sources, from your local datasets to online integrations like Google Cloud, Azure, OPC UA, etc..

AI Prediction & Validation of the models

Train, or use pre-trained ML models for representing your processes with your data, predicting real-time insights or forecasting your process KPIs. Connect them with sequential nodes to create cascade or hybrid models.

Visualize your data

Inspect and visualize your data flows, observing your process data, including critical process parameters (CPPs), and critical quality attributes (CQA) along all your process workflow.

Join

Data transformations

This nodes allows you to modifiy the stucture of the datasets, allowing spliting, cleaning, joining different data sources or applying custom logic

Custom code

Customize the logic of nodes, according to your specific business or processes needs.

Simulation mode

Using the model trained with company data, the algorithm seeks the optimal configuration to achieve the company's objectives (costs, quality, and sustainability)

Want to see more?

Want to see more?

Book a demo