Analytics-Ready Data

Accelerate Scientific Discovery and Drive Innovation.

Taking scattered, complex, and varied R&D data and giving it new life as a value-generating engine.

Why Enthought

Scientific innovation starts with data, and research labs are sitting on an untapped goldmine. That's because R&D data is different— often a scattered collection of images, videos, tables of values, scientific measurements and more— that makes unlocking its value difficult. Data needs to be in the hands of scientists to allow for rapid iteration and discovery, but scientists are spending too much time wrangling their data instead of using it. Enthought empowers scientists by putting analytics-ready data at their fingertips to discover never-before-seen value and drive innovation.

Enthought brings together scientific understanding with computational excellence. We understand the unique challenges with R&D data and know-how to harness its value for faster discovery and smarter innovation.

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Have a question? Check out our Knowledge Base for FAQs, announcements and more resources.

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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.

Unlocking the Value of R&D Data

While the value of R&D data is clear, finding a way to sort through it can be daunting given the special handling required to extract its value. In fact, 75 percent of surveyed R&D executives believe advanced analytics techniques would play a pivotal role in their future R&D activities, but only 25 percent state that their R&D organizations were actually using these analytics.

General-purpose data management solutions are ill-equipped to confront the challenges of R&D data, leaving researchers to manage time-intensive and/or manual processes that may or may not yield results. That’s where Enthought Edge steps in.

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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Steven Kern

Consulting Manager

Andrew Summers

Consulting Manager

Wahiba Taouali

Consulting Manager

Nicola De Mitri

Senior Scientific Software Developer

Lloyd McCarthy

Scientific Software Developer

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