Platform

A platform that puts the power of AI in your process team’s hands

The basetwo platform makes model-driven decision-making easy by allowing engineering teams to rapidly build, test, and operationalize digital twins of their plants that save time and manufacturing resources.

The basetwo platform makes model-driven decision-making easy by allowing engineering teams to rapidly build, test, and operationalize digital twins of their plants that save time and manufacturing resources.

Ingest

Integrate with both offline and online data sources

Build robust data pipelines with a drag and drop interface

Integrate process data from various data lakes

Clean

Gap fill and process data with signal smoothing and filtering

Visualize uploaded data in tabular spreadsheet views

Clean, filter, and transform data to prepare for analysis

Apply advanced signal processing techniques

Visualize

Overlap multiple time series datasets within a manufacturing line to visualize correlations and other process trends

Discover which variables contribute to process outputs using principal component analysis and other statistics

Build

Select from a library of industry-specific process models for each use case

Integrate process knowledge using drag-and-drop editor to customize the model

Any gaps in process knowledge are automatically filled by an ML model

Validate

Model predictions can easily be validated with domain knowledge of the process

Visualize model performance using a variety of robust metrics

Deploy

Perform real-time virtual “what-if” experiments to predict process dynamics under novel conditions

Automatically determine process setpoints that maximize KPIs under various plant constraints

Integrate

Send digital twin KPIs to existing enterprise dashboards for visualization

Operationalize digital twin outcomes across your workforce with Office 365 notifications

Send work orders to existing maintenance management systems

Interested in learning more?

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Unlock model-driven continuous improvement

Build from scratch or adapt from existing industry-tailored process models that allow your team to maximize the scientific and commercial value of your manufacturing data to improve product yield and quality.

Scale up and transfer your process with confidence

Leverage Basetwo’s physics informed machine-learning models with historical and parallel process knowledge to reduce uncertainty at different scales and process equipment.

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resources with digital experiments

Save time & resources with digital experiments

Fully-trained hybrid process models act as digital twins that capture underlying process dynamics, allowing for digital experimentation to test new operating ranges without consuming precious manufacturing resources.

Collaborate within and across departments

Integrate with multiple data sources to centralize knowledge and push model results to existing dashboards to easily visualize and collaborate on insights for scientists, engineers, and managers alike.

Collaborate within and across departments
Work with models that learn as your team does

Work with models that learn as your team does

By leveraging machine-learning models, Basetwo ability to predict and understand your manufacturing processes improves as more data is gathered, improving return on investment over time.

Keep your process data secure, private, and encrypted at all times

The Basetwo platform is built on the most secure global cloud infrastructure, Amazon Web Services (AWS). Data is secured at rest and in transit with enterprise-level centralized logging, reporting, and analysis of all services and endpoints, giving you peace of mind.

Cloud Security

See what Basetwo can do for your team

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