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.
Our Insights
Concurrent Materials Design, Accelerated by AI
The ‘acceleration’ through Concurrent Materials Design is not incremental; it’s transformative.
6 Predictions: How AI Will Transform Scientific R&D In The Next Decade
AI is reshaping every industry, but scientific research and development—drug discovery, materials innovation, specialty chemicals and more—is about to undergo one of the most profound transformations.
Reshaping Materials R&D: Navigating Margin Pressure in the Specialty Chemicals Industry
Since undifferentiated portfolios can no longer deliver required returns for growth, specialty chemical product portfolios and R&D strategies must change.
The Emergence of the AI Co-Scientist
The era of the AI Co-Scientist is here. How is your organization preparing?
Revolutionizing Materials R&D with “AI Supermodels”
Learn how AI Supermodels are allowing for faster, more accurate predictions with far fewer data points.
Understanding Surrogate Models in Scientific R&D
Surrogate models are reshaping R&D by making research faster, more cost-effective, and more sustainable.
R&D Innovation in 2025
As we step into 2025, R&D organizations are bracing for another year of rapid-pace, transformative shifts.
What to Look for in a Technology Partner for R&D
In today’s competitive R&D landscape, selecting the right technology partner is one of the most critical decisions your organization can make.
Digital Transformation vs. Digital Enhancement: A Starting Decision Framework for Technology Initiatives in R&D
Leveraging advanced technology like generative AI through digital transformation (not digital enhancement) is how to get the biggest returns in scientific R&D.
Digital Transformation in Practice
There is much more to digital transformation than technology, and a holistic strategy is crucial for the journey.
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.