Solutions Overview
Digital efforts are often limited because people are only envisioning improvements to their current systems but the intersection of science and technology offers an entirely new set of possibilities for those that can see it. Enthought partners with clients to deliver process optimization, workflow acceleration, and innovative solutions to deliver immediate value.
Enthought brings together scientific understanding with deep digital expertise. We unlock new possibilities, solving the complete business problem, putting solutions in the hands of those key to its success, and ensure adoption to pull all the way to value.



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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.
Enthought Deployment Manager
Enthought Deployment Manager (EDM) is Enthought’s mechanism to deliver scientific software applications and development environments to our clients. Building on Enthought’s collection of carefully tested, consistently built Python packages, EDM allows developers to iterate quickly on solutions to a problem, and have the confidence that their code will work when delivered to the end user. Designed around the central concept of fully specified and reproducible Python software environments, EDM supports all phases of the software development and deployment process, from initial idea to delivery of a finished application.
Experience the next generation of python environment and package management.
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 ManagerAndrew Summers
Consulting ManagerWahiba Taouali
Consulting ManagerNicola De Mitri
Senior Scientific Software DeveloperLloyd McCarthy
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