Our Origin

Enthought was founded in 2001 when CEO Eric Jones was doing postdoctoral research in electrical engineering at Duke University using the Python scientific software stack. He recognized its potential to solve tough science problems and remove drudgery from the work of technical people. Eric began developing it and networking to enlist like minded experts to join him.

Our Journey

To accelerate the application of Python, in 2002 Eric initiated the first SciPy (Scientific Python) conference at CalTech, joined by about 35 like minded scientists. This led Enthought to consulting engagements, training, and almost 20 years later, a toolkit of specialized software and infrastructure technology to collaborate with clients to transform their business. And SciPy? Now an annual event of over 800 in Austin.

Our Future

We see unlimited potential for business impact through advanced scientific computing techniques, compute infrastructure and automation. A new generation of digital scientists will craft innovative workflows, automatically generating the orders of magnitude more data necessary to apply AI/ML techniques, fundamentally changing the business. This is true digital transformation.

Who We Are

We are scientists and engineers passionate about solving problems and removing drudgery from our clients’ work through advanced computing techniques and innovative workflows. We are fluent in the language of science; 90% of our team hold advanced degrees, and 65% hold PhDs. A number of Enthought scientists have made major contributions to scientific computing.

What We Do

We collaborate with clients to create possibilities by crafting scientific software, enabling infrastructure, and training their experts in apprenticeship-style programs. The result is innovative new workflows, fundamentally changing their business. Examples of success are laboratories transformed to deliver orders of magnitude performance improvements.

How We Deliver

We help our clients see, then realize the possibilities for order of magnitude improvements through data visualization, modeling & simulation, automated data ingestion and handling, and AI/machine learning. Foundational to this is increasing the digital maturity of the organization, through strategy, expert skills, digital tools, data and infrastructure.

Time to Innovate

Talk to us about how increasing your digital maturity can transform your business.