Building digital twins for manufacturing just got easier

Introducing the first TwinOps platform for engineers

Enabling manufacturers to

digital twins

tech transfer

scale-up

continuous validation

real-time release

cGMP manufacturing

Enabling manufacturers to

digital twins

tech transfer

scale-up

continuous validation

real-time release

cGMP manufacturing

Building digital twins
for manufacturing just got easier

See our Platform

Challenge

Operationalizing AI can unblock today’s manufacturing bottlenecks

Process Engineers want to improve productivity, quality and efficiency. However, they lack the tools to do so.

Today’s ML platforms do not solve engineering problems, and most ML projects are piloted but lack the technology scalability to be operationalized.

As a result, process knowledge is locked away in spreadsheets and the minds of engineers.

Platform Feature Overview

With a no code, drag-and-drop interface, basetwo allows users to:

Integrate with multiple data sources and in-house spreadsheets

Clean ingested data for analysis

Easily build and validate advanced ML and process models

Deploy and monitor models to enhance manufacturing SOPs

Collaborate with performance reports across departments

Design, test and deploy process optimization strategies

Run scenarios with digital twins using plant or lab data

Validate process or equipment performance

Build and scale internal data science competency

Expertise

Unlock deeper process understanding

Basetwo uses physics-informed machine learning that integrates process engineering with data science. This allows engineers to leverage the speed and scalability of machine learning while still learning the underlying dynamics.

Operationalize AI

The success or failure of AI springs from the people who create, use, and maintain them

From operators who steer processes, to process engineers who use domain expertise to drive efficiency, to managers who track performance and budgets.

A people-oriented, integrative platform can supercharge productivity and performance when individuals, digital technologies, and advanced analytics work together.

From operators who steer processes, to process engineers who use domain expertise to drive efficiency, to managers who track performance and budgets.

A people-oriented, integrative platform can supercharge productivity and performance when individuals, digital technologies, and advanced analytics work together.

See how isomer.ai enables data-driven outcomes for:

MS&T Directors

Technical Requirements

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MS&T Directors