Why Enthought
At Enthought, our ethos to digital transformation begins with building a digitally enabled workforce. We arm scientists and engineers with analytics-ready scientific data, purpose-built tools and the digital skills to be catalysts of innovation and value creation in both science and business. We change mindsets, encouraging teams to generate new ideas and imagine new goals.
Everyone is fighting for the same digital talent. You can't hire them, and most companies don't have the resources or capabilities to create them. Enthought does. Enthought trains nearly 1,000 scientists and engineers every year, empowering them with the skills needed to accelerate their work leveraging state-of-the-art scientific computing.



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The Enthought Tool Suite is a collection of open-source components developed by Enthought, our partners and the scientific Python community, which we use every day to construct custom scientific applications.
The digital skills mix varies widely across companies, from those just starting to invest in digital transformation initiatives, to ones well into their journey. Building a community of people who think digitally and are able to innovate and quickly prototype ideas is key to delivering results.
Our Insights
Why Top Materials Company Idemitsu Partnered with Enthought to Accelerate Product Innovation using Materials Informatics
Idemitsu’s Path to R&D Digital Transformation Idemitsu has a rich 100 year history of developing products alongside leading OEMs from project onset, and today is…
[eBook] Digital Transformation in the Life Sciences Industry
The Lab of the Future: Barriers to Digital Transformation in the Life Sciences Industry Experts predict over the next two years, life sciences companies will…
[eBook] Digital Transformation in the Materials Science Industry
Building the Materials and Chemicals Lab of the Future Materials and chemical companies know that building a digital “lab of the future” to accelerate discovery…
5 Tips to Kickstart Your Journey to the Future-Proofed R&D Lab
5 Tips to Kickstart Your Journey to the Future-Proofed R&D Lab Despite an increase in digital transformation efforts across all industries, 70% fall short…
[White Paper] Optimized Workflows in the Life Sciences
Optimized Workflows: Towards Reproducible, Extensible and Scalable Bioinformatics Pipelines A bioinformatics pipeline is an analysis workflow that takes input data files in unprocessed raw form…
New Application Transforms Chip Communication Subsystem Testing
Freescale Semiconductor needed to transform their testing processes. Freescale’s High Speed Signal Integrity (HSSI) group is responsible for testing the electrical characteristics of the communications…
Active Learning Improves Polymer Formulation Scale-Up Efficiency
A Specialty Chemical Company Wanted to Remove the Bottleneck from their Polymer Scale-Up Process Many of the high tech products we interact with on a…
10X Efficiency Gain and Improved Classification Using Deep Learning
Use AI techniques to efficiently extract mineralogy and grain size statistics from thin sections Thin sections provide the closest examination of in situ rock properties,…
Accelerating Consumer Products Reformulation with Machine Learning
Consumer products need to be reformulated continually in order to adapt to new market forces, government regulations, and supply chain limitations. In some markets, sustainability…
The Journey to Digital-centric Chemicals and Materials Laboratories
Digital technologies and the innovation they enable are steadily transforming chemicals and materials labs. This webinar proposes five ‘levels’ of lab digital capability, providing managers…