Deep Insights That Power Innovation

From genomics and drug discovery to imaging and instruments, digital transformation is jumpstarting innovation. Enthought shapes how advanced tools and streamlined workflows can strengthen collaboration, leading to accelerated discovery and strategic business wins.


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.

Our Life Sciences team has expertise in Foundation Models, Large Language Models (LLMs), Graph Neural Networks, Bayesian Optimization, Deep Learning, Generative Adversarial Networks (GANs), Natural Language Processing (NLP), Open Data, MD, DFT, Multi-scale Modeling, Mathematical Modeling, Molecular Representation, Cloud, Databases, Data Pipelines, Data Ops, ML Ops, Web and Desktop UI.

Enthought | Powering Digital Transformation for Science

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.

Industry Leaders Innovate with Enthought

Cheat Sheet | Large Language Models+ For Scientific Research

Large Language Models+ For Scientific Research Updated August 2023 LLMs and Tools for R&D To help scientists and researchers navigate the increasing number of advanced…

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WEBINAR: What Every R&D Leader Needs to Know About ChatGPT and LLMs

View Webinar-on-Demand Live webinar held on June 27, 2023 Overview ChatGPT and the explosion of advanced Large Language Models (LLMs) are disrupting every industry. We…

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Unlocking the Value of High Throughput Screening Pipelines in Small Molecule Drug Discovery

Transforming High Throughput Screening Data into Actionable Insights with Data Modeling and Visualization A mid-size small molecule cancer therapeutics biotechnology company using a custom high…

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[eBook] Digital Transformation in the Life Sciences Industry

The Lab of the Future: Barriers to Digital Transformation in the Life Sciences Industry Experts predict over the next two years, life sciences companies will…

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5 Tips to Kickstart Your Journey to the Future-Proofed R&D Lab

5 Tips to Kickstart Your Journey to the Future-Proofed R&D Lab   Despite an increase in digital transformation efforts across all industries, 70% fall short…

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[White Paper] Optimized Workflows in the Life Sciences

Optimized Workflows: Towards Reproducible, Extensible and Scalable Bioinformatics Pipelines A bioinformatics pipeline is an analysis workflow that takes input data files in unprocessed raw form…

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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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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…

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Python for Professionals

What: Presentation and Q&A with Dr. Michael Connell, VP, Organizational Transformation, Enthought Who Should Watch: Anyone who wants to develop proficiency in Python for scientific, engineering,…

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The Power of Automation

What: An introduction to the possibilities provided by automation in business and scientific workflows Who Should Watch: Scientists, engineers, and group leaders who have repetitive…

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Behzad Eftekhari

Consulting Manager

Robert Kern

Principal Engineer, Algorithms and Machine Learning

Mehran Mehrabi

Scientific Software Developer

Rafael Pinto

Scientific Software Developer

Siddhant Wahal

Senior Scientific Software Developer