Infrastructure

Building the Digital Infrastructure for R&D Success

From R&D IT and DevOps to training scientists in new digital skills, we help build a solid infrastructure that maximizes your investments and supports innovation at scale.

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The Backbone of AI & Digital Transformation

Without the right infrastructure, even the best strategies and software solutions can’t reach their full potential. Enthought builds robust, scalable infrastructure for scientific R&D — from IT systems and data operations to upskilling scientists and engineers with technical training. We ensure every component of your digital transformation is supported, secure, and future-ready.

We are the go-to R&D technology partner for:

  • Strategic transformation
  • Solution design and development
  • Project takeovers
  • Last mile execution
  • Deployment and adoption
  • Scaling POCs

What We Deliver

Our Infrastructure Capabilities

We deliver the infrastructure that empowers R&D teams — from training and systems integration to IT operations and high-performance computing — ensuring your digital transformation is built on a strong, scalable foundation.

 
training

Technical Upskilling of Scientists & Engineers

Upskill scientists and R&D teams with the technical skills they need to leverage advanced tools and AI.

integration

R&D Systems Integration

Connect and streamline systems across the lab and enterprise for seamless workflows.

devops

R&D IT and Data Ops

Build reliable IT and data operations to support large-scale scientific computing and data management.

cloud

Cloud & High-Performance Computing

Architect scalable infrastructure for compute-heavy modeling, AI, and simulations.

Purpose-Built Solutions Leveraging the Best Fit Technologies

Our solutions are built on proven architectures and the latest advances in AI, cloud infrastructure, and workflow automation—ensuring scalability and reliability for even the most complex scientific environments.
core
Core Technologies

Machine Learning, Deep Learning, Bayesian Optimization, Generative Adversarial Networks, Graph Neural Networks

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advanced-modeling
Advanced Modeling & Systems

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

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genai
Language & Generative AI

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

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Insights & Resources
More Resources
4 min read
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...
3 min read
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...
3 min read
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...
3 min read
The Emergence of the AI Co-Scientist

The era of the AI Co-Scientist is here. How is your organization preparing? Business and industry are undergoing a sea...

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.
Schedule a Free Consultation