Digital transformation is revolutionizing
scientific innovation.
Enthought solves complex data challenges for enterprise scientific R&D labs.
We develop custom machine learning and AI-driven data tools and applications that accelerate scientific discovery.
We deliver holistic solutions that create cost efficiencies and uncover new revenue opportunities for the business.
We build the digital capabilities of the scientific workforce to foster continuous innovation and strengthen competitive advantage.
Compute-Centric R&D
Enthought aims to answer the question “what could be accomplished if our scientists could spend 100% of their time advancing their discoveries?” By applying advanced computing techniques and systems, we transform R&D data challenges into data opportunities. From idea generation and technical implementation to extracting business value, we deliver a digital transformation that will impact the entire business ecosystem.
Purpose-Built for Science
Enthought has extensive experience in leveraging technology to transform how science is conducted in industry. Our powerful solutions are grounded in a deep understanding of the complexities of scientific data and the most advanced machine learning and AI techniques. We empower scientists by turning their data into analysis-ready assets for solving today’s problems and producing tomorrow’s innovations.
Our Insights
BRIEFING: Next Generation Materials Informatics
View Webinar-on-Demand Live webinar held on October 9, 2024 JST The original event was presented to a Japanese audience. While parts are in Japanese,…
[Resource] Materials Informatics: Artificial Intelligence for Curation of Information and Knowledge Acquisition
As competition in new material development intensifies, the importance of knowledge acquisition to accelerate R&D is increasing. Download this book chapter authored by Enthought experts: “Artificial intelligence for curation of information and knowledge.”
What Materials Informatics Looks Like in the Modern R&D Lab
The Modern Materials Science and Chemistry Lab Industry success now more than ever is being dictated by the ability to continuously develop innovative new materials…
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…
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…
WEBINAR: Drug Development in the AI-Driven Lab
October 24, 2023 Overview The recent advancements in artificial intelligence (AI) and large language models have unleashed a new era of possibilities for drug development….
WEBINAR: Materials Informatics for Product Development: Deliver Big with Small Data
May 17, 2023 Overview For many industry labs, scientific data has historically been generated to answer specific, immediate research questions and then archived to protect…
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…
Why Top Materials Company Idemitsu Partnered with Enthought to Accelerate Product Innovation using Materials Informatics
Idemitsu’s Path to R&D Digital Transformation Idemitsu has a rich 100 year history of developing products alongside leading OEMs from project onset, and today is…
[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…