Transforming Data, Accelerating Progress
Scientific data is complex, context-dependent, evolving and often scattered across an organization in different locations and formats. Enthought streamlines data ecosystems and accelerates workflows to yield objective, tested results and bring solutions to market faster, in a reproducible process that validates outcomes.
Whether it’s chemistry or biology, genetics or genomics, personalized medicine or DNA sequencing, our team’s deep knowledge of science enables us to deliver digital, scientific solutions. Over 90% of Enthought’s team have advanced science, engineering, and math degrees, and 65% hold PhDs.
Experts Who Understand
Enthought brings together life sciences expertise with computational excellence.
By leveraging the full affordances of digital technologies applied to a deep understanding of the scientific domain, we can expand the range of what’s possible and deliver holistic, integrated solutions to achieve better business outcomes.
Scientific Research Optimization for R&D
Scientific Research Optimization solutions are purpose-built to enable scientists to rapidly innovate by harnessing their data and their science. Our solutions for R&D include new technology and the tools to produce custom workflows, boosting productivity and fostering creativity.
Many businesses focus on the organizational structure of data but miss the point: efficient access to data is foundational to iterative R&D. And, as businesses grow and teams expand, it eventually becomes clear that data stores are out of synch and cannot scale with growth.
Our Scientific Research Optimization solution was developed with these challenges in focus, and our goal is to empower scientists to take control of their data and accelerate their research.
Our Insights
The Challenges of Scaling Digital Advances in Life Sciences
Many of the improvements in life sciences R&D labs today come through introducing digital technologies to existing processes, with an evolution that provides measurable, incremental improvements. The real challenge for management is how to scale orders of magnitude R&D lab advances across the organization.
In this article, we explore the 10 key "battlegrounds" that represent significant opportunities for value creation within life sciences and explore why scientists must be equipped with the power of the rapidly advancing scientific software tools and techniques to conquer them.
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,…
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….
Model-Based Approach to Rock Physics Improves Predictions
ConocoPhillips wanted a more flexible way to model rock physics An important activity in characterizing reservoirs is constructing models of rock physics, which represent how…
Applying Machine Learning to Subsurface Data Reduces Uncertainty
Overcome slow and tedious nature of core analysis Core analysis provides ground truth data of rock properties, and can be time consuming and expensive to…
Digital Transformation in Practice
For digital leaders who will share a practical framework for digital transformation options, and how to avoid common pitfalls. Gain insights into: Making key strategic…
Get More From Your Core
What: Presentation, demo, and Q&A with Brendon Hall, Energy Solutions Group, Enthought Oil and gas industry professionals who are looking for ways to extract more…
Accelerating Seismic Interpretation with Machine Learning
Determine if AI and machine learning techniques can be used to more efficiently analyze seismic volumes Seismic is the first field measurement in the oil…
Our Experts
Robert Kern
Director, Algorithms and Machine Learning
Behzad Eftekhari
Consulting Manager
Aaron Ayres
Scientific Software Developer
Mehran Mehrabi
Scientific Software Developer
Sai Rahul Poruri
Senior Scientific Software Developer
Sogo Shiozawa
Scientific Software Developer