Turning Data Into Insights With Open Source Software

We solve complex, data-related problems by leveraging the open source software at the foundation of innovation in machine learning and artificial intelligence.

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A Consulting Firm Rooted in the Python Data, Science, and AI/ML Communities

Quansight is a data, science, and engineering firm that specializes in solving complex, data-related problems by leveraging the open source software at the foundation of innovation in AI and ML.

Our singular knowledge in scientific Python and its ecosystem of libraries and tools allows us to offer bespoke solutions that derive true value from data. Not only does this empower our clients with critical business insights and actionable knowledge, but it strengthens the open source packages much of the world’s technologies already depend on.

🚀Quansight Labs Annual Report 2024: A Year of Focus and Execution

The 3rd Annual Labs Report is now live! From contributing 44,547 hours to 40+ open source projects like NumPy, SciPy, and pandas, to launching the inaugural Labs Open Source Fund, see how the Labs team is driving innovation and sustainability in the PyData ecosystem.

Quansight’s staff includes seasoned scientists, engineers, and developers with advanced degrees, and diverse and specialized domain expertise. Much of our technical staff are also contributors and maintainers of core PyData projects—including NumPy, PyTorch, SciPy, Jupyter, Nebari, Napari, Matplotlib, scikit-learn, Dask, conda, and Numba.​

Quansight was co-founded by Travis Oliphant, founder of Anaconda and NumFOCUS and the creator of SciPy, NumPy, and Numba.

Client Testimonials

Quansight's Expertise

Al, Data, & ML Engineering

Infrastructure, Scaling, Acceleration

Visualizations & Dashboards

Open Source Integration

Algorithms, AI, Machine Learning

Packaging & Environment Management

Jupyter Technologies

Open Source Services

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