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.
Have a question? Check out our Knowledge Base for FAQs, announcements and more resources.
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
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…
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…
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…
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…
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…
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….
Our Experts
Steven Kern
Consulting Manager
Andrew Summers
Consulting Manager
Wahiba Taouali
Consulting Manager
Nicola De Mitri
Senior Scientific Software Developer
Lloyd McCarthy
Scientific Software DeveloperJoin Our Mailing List!
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