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How Predictive AI Works As An ROI Engine For R&D

Agentic AI and the Future of Scientific R&D

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

Materials Science & Chemistry
Semiconductors
Life Sciences
Energy

QUICK LINKS

Materials by Design

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

A Technical Framework for Materials by Design | Register now for this timely webinar on Materials by Design for enterprise R&D.

AI-Driven Power

The energy industry faces mounting pressure to discover new resources, optimize production, and operate more efficiently in an environment defined by complexity and rapid change. Traditional exploration and production must now coexist with the global imperative for sustainability, decarbonization, and the rise of renewable technologies such as lithium-ion batteries and alternative energy storage. While data is abundant, the continued challenge lies in transforming it into actionable insight. Through purpose-built scientific AI and software solutions, we enable geoscientists and engineers to unlock their data for new efficiencies, accelerated discovery, and improved decision-making.

energy-renewables

How Predictive AI Works As An ROI Engine For R&D

This article was originally published on Forbes. By Michael Connell, EdD | Chief Operating Officer, Enthought Inc. The...

The 10 AI Concepts Shaping the R&D Landscape in 2026

In 2024, we published The Top 10 AI Concepts Every Scientific R&D Leader Should Know, during the rise of generative AI...

The Small Data Problem in Scientific Research

Data sits at the center of modern scientific research and serves as the foundation of discovery and differentiation....

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.