Digital transformation is revolutionizing
scientific innovation.

At Enthought, we power digital transformation for science to deliver new business value.

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We deliver technologies that shorten time-to-value and create cost efficiencies.
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We create solutions that enable faster scientific discovery and uncover new revenue opportunities.
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We empower a digitally-enabled workforce to allow for continuous innovation.

Accelerate Science

Enthought aims to answer the question “what could be accomplished if our scientists could spend 100% of their time advancing their discoveries?” From idea generation and implementation to extracting business value, we deliver a transformation that will impact the entire business ecosystem.

Our Technology is Purpose-Built for Science

Our technology is purpose-built for science, turning scientific data into a powerful asset that is analysis-ready for solving today’s problems and producing tomorrow’s innovations. By putting accessible technology within their reach, we empower scientists to accelerate their discovery.

From idea generation and implementation to extracting the business value, we deliver a transformation that will impact the entire business ecosystem.

We’re not just writing code, we’re partnering with scientists and leaders to rethink how business processes achieve results.


Transformative results depend on digital skills. Our courses are specially-designed to support a digital future.

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…

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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…

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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,…

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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…

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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…

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3 ways to identify digital transformation opportunities in your R&D lab

Is your R&D lab digitally mature? Do you use data and code to create value at every step of your R&D program? This webinar will…

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Integrating Weather and Renewable Energy Sources Data for 2.5 Million Viewers

Educating and developing a culture of responsible energy consumption The EnergizAIR project is presented both to show the innovative technology and methodology to solve the…

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Manual Processes for CSEM Replaced by Computational Tools and Strategies

Shell needed a way to effectively visualize a new scientific measurement Controlled-Source Electromagnetic sounding (CSEM) is a new tool for marine oil exploration. Sensitive electric…

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Predicting Pore Pressure From Very Limited Data Sets

ConocoPhilips wanted to make pore pressure predictions with limited data sets Logs from two wells and a limited set of 2D and 3D seismic were…

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AI/Machine Learning Techniques Quantify AVA Seismic Analysis Uncertainty

Help ConocoPhillips apply advanced AI techniques to Amplitude Versus Angle (AVA), seismic analysis Amplitude Versus Angle (AVA), seismic analysis is a well-established oil exploration tool….

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