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LATEST NEWS

Idemitsu Kosan Expands
Partnership with Enthought

R&D World | Early tests show AI supermodels can speed up discovery by 100x

SOLUTIONS

Software & AI
Scientific Software Development, Legacy Software Modernization, UI/UX,
Predictive Modeling, Custom Simulations, Web Applications,
Multimodal Knowledge Systems, API Development

Data Systems
Data Engineering, Process Engineering, Data Pipelining and Augmentation,
Workflow Automation and Redesign, Scientific Data Management Systems,
Data Capture Systems, High Volume Data Management, Database Design

Strategy & Design
R&D AI Transformation, R&D Digital Transformation, Strategic Roadmap Development,
Data System Design, Process Analysis

Infrastructure
Technical Upskilling for Scientists & Engineers, R&D Systems Integration,
R&D IT and Data Ops

INDUSTRIES

TECHNOLOGIES

Core Technologies
Machine Learning, Deep Learning, Baysian Optimization, Generative
Adversarial Networks, Graph Neural Networks

Advanced Modeling & Systems
Reasoning Models, Multi-Scale Modeling, Surrogate Modeling,
Simulation, Image Processing, Agentic AI Systems

Language & Generative AI
Natural Language Processing, Foundation Models, Generative AI,
Large Language Models

USE CASES

Discovery & Development
Property Prediction, Formulation Optimization, Structure Generation,
Materials Discovery, Materials Compatibility

Data Insights
Text Data Mining, Automated Data Analysis, Time Series Analysis,
Multimodal Search, Literature and Patent Search, Dashboards, Data Visualizations

Decision Support
Chatbots, Predictive Maintenance, Preventative Maintenance, AI
Recommendation Systems

RESOURCES

Making Sense of Agentic AI | You can now watch this timely webinar on agentic AI in materials & chemistry R&D on-demand.

Industry Expertise

Life Sciences

With the race to develop novel therapies and the growing complexity of biologics, pharma and biotech R&D faces mounting pressure to accelerate discovery, streamline development, and deliver life-changing treatments to patients faster than ever.

AI-Driven Drug Discovery & Development

Traditionally, the process of developing new drugs has been complex, costly, and slow, with the average time of getting a new drug from discovery to market being 12+ years. Life sciences companies are now investing heavily in artificial intelligence—and for good reason. Pharmaceutical and biotech R&D labs that leverage AI and machine learning are accelerating discovery and getting to clinical trials faster. However, many companies today are still entrenched in traditional methods of scientific research. Enthought helps pharmaceutical companies and CROs of all sizes harness the power of AI to expedite drug discovery and development, all centered around their unique IP.

cell-culture

Concurrent Materials Design, Accelerated by AI

This article references topics presented by Dr. Michael Heiber at Enthought’s 2025 R&D Innovation Summit in Tokyo. Link...

6 Predictions: How AI Will Transform Scientific R&D In The Next Decade

This article was originally published on Forbes and can be found here. By Michael Connell, EdD | Chief Operating...

Reshaping Materials R&D: Navigating Margin Pressure in the Specialty Chemicals Industry

The specialty chemicals and materials industry is undergoing a significant shift. For companies that have historically...

Ready to Take the Next Step?

Whether you need to get your R&D organization AI-ready or are ready to capitalize on advanced AI, Enthought can help.