Why Enthought
As chip complexity grows, machine learning is helping manufacturers seize opportunity, reduce downtime and improve output. Advanced algorithms can recognize and learn patterns in data, make predictions and identify problems – without relying on manual processes.
Enthought scientists have business-relevant domain expertise, enabling a greater understanding of client challenges. Combining this with coding skills enables rapid prototyping to get started immediately in creating the new possibilities enabled by digital technologies. Together, we help bring products to market faster.


Semiconductor Wafer Inspection Transformed
Many laboratories rely on time consuming, labor intensive activities that must be performed by experts, often generating only basic/necessary data, or providing a yes/no answer. In this video, Mike Connell, VP Organizational Transformation, discusses how a time consuming quality inspection chore is transformed to reduce the time, while generating new data. The result is an innovative workflow that improves the manufacturing process.
Our Insights
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…
5 Tips to Kickstart Your Journey to the Future-Proofed R&D Lab
5 Tips to Kickstart Your Journey to the Future-Proofed R&D Lab Despite an increase in digital transformation efforts across all industries, 70% fall short…
New Application Transforms Chip Communication Subsystem Testing
Freescale Semiconductor needed to transform their testing processes. Freescale’s High Speed Signal Integrity (HSSI) group is responsible for testing the electrical characteristics of the communications…
Active Learning Improves Polymer Formulation Scale-Up Efficiency
A Specialty Chemical Company Wanted to Remove the Bottleneck from their Polymer Scale-Up Process Many of the high tech products we interact with on a…
The Journey to Digital-centric Chemicals and Materials Laboratories
Digital technologies and the innovation they enable are steadily transforming chemicals and materials labs. This webinar proposes five ‘levels’ of lab digital capability, providing managers…
Digital Transformation in Practice
For digital leaders who will share a practical framework for digital transformation options, and how to avoid common pitfalls. Gain insights into: Making key strategic…
Integrating Mixing Expert Knowledge Into Production System Design
Challenge A significant part of Procter and Gamble’s (P&G) manufacturing involves mixing fluids. P&G spends resources to design mixing systems that optimize this process. Many…
Visualization and Automation Significantly Improves Fluids Properties Testing
CHALLENGE Rheology, the analysis of non-Newtonian fluid properties, conventionally requires cumbersome experimental setups with centrifuges and substantial quantities of test fluid. The technique of microrheology,…
New Workflow Removes Weeks from Modeling and System Engineering and Design Process
A time consuming and tedious process for running virtual mixing experiments A significant part of Proctor and Gamble’s (P&G) manufacturing involves mixing fluids. P&G spends…
Using Python and LabVIEW Together to Rapidly Solve Engineering Problems
What: Presentation, demo, and Q&A with Collin Draughon, Software Product Manager, National Instruments, and Andrew Collette, Director, Enthought Platform Who should attend: Engineers and managers…
SEMICON West 2021 lived up to its status as the signature conference for the extended microelectronics supply chain. Business and technology leaders, researchers, and analysts from across the semiconductor industry connected in-person and virtually for a 360 view of technological and market trends.
The themes of collaboration and digital transformation resounded throughout the conference as more important than ever. Coincidentally these themes are deep-rooted in Enthought’s history and reinforced in our business model for helping science-driven companies advance innovations and achieve global impact.