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

The Basetwo platform is focused on making process optimization easy and scalable for scientists and engineers

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Platform

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

The Basetwo platform is focused on making process optimization easy and scalable for scientists and engineers

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Thank you! Your submission has been received!
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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

building data pipelines

Build robust data pipelines with a drag and drop interface

integration

Integrate process data from various data lakes

building robust data pipelines with a drag and drop interface
visualize uploaded data in tabular spreadsheet with clean filter and transform datavisualize uploaded data in tabular spreadsheet with clean filter and transform data

Clean

Seamlessly understand, gap-fill, and transform data with our Generative AI assistant

data in tabular spreadsheet

Visualize uploaded data in tabular spreadsheet views

clean filter and transform data

Clean, filter, and transform data to prepare for analysis

advance signal processing techniques

Apply advanced signal processing techniques

Visualize

show line graphs

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

show statics with different charts
process outputs

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

use case of industry specific process

Build

process model

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

integrate process using drag and drop

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

Process knowledge

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

Validate

model predications

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

visualize model performance using a variety of robust metrics

Visualize model performance using a variety of robust metrics

visualization of model performance using a variety of robust metrics
determine process of setpoints that mazimize kpis under various pan constraintsdetermine process of setpoints that mazimize kpis under various pan constraints

Optimize

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

visualization

Send optimal outputs to existing enterprise dashboards for visualization

Operationalize digital twin outcomes across your workforce with Office 365 notifications

Operationalize optimal outcomes across your workforce with Office 365 notifications

send work orders

Leverage exported models from other simulation software to enhance recommendations

operationalize digital twin outcomes across your workforce with office 365 notifications
Hybrid Modeling

Choose the model that best fits your process

Within the Basetwo platform, process engineers can leverage hybrid modeling capabilities combining first-principles models with machine learning for improved model accuracy.

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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