Wes McKinney's experience raising $110 million for Voltron Data to support the Apache Arrow ecosystem. Watch the full video — free, no account needed.
Wes McKinney's experience raising $110 million for Voltron Data to support the Apache Arrow ecosystem. It highlights his journey from open-sourcing Pandas to investing in early-stage data infrastructure and AI companies through Composed Ventures.
If you’ve ever done data analysis in Python, there’s a good chance you’ve used Pandas, the groundbreaking open-source library that transformed how data scientists work. But behind Pandas is Wes McKinney’s story of intellectual curiosity, risk-taking, and a relentless drive to build useful tools for others. Wes’s latest initiative, Composed Ventures, is a micro venture capital (VC) fund that invests in early-stage data infrastructure, AI, and ML companies, as well as next-generation Python tooling and other related technologies. Open-sourcing Pandas at AQR was a pivotal moment that helped establish Python as the dominant language for data science. Wes dropped out of a PhD program to fully pursue open source and entrepreneurship, driven by early traction from the community. His first startup, Datapad, exited via acquihire after recognizing the challenges of differentiating in a crowded BI
market. Apache Arrow emerged as a foundational open-source project for modern data infrastructure, eventually leading to Voltron Data. Voltron Data raised $110M in funding to tackle GPU-accelerated data workloads and support the Arrow ecosystem at scale. Wes stepped out of operations at Voltron to split his time between building tools for open source data science at Posit and investing in startups aligned with his deep-tech thesis. His investing playbook centers on technical founders with strong execution skills and a clear vision for the future of data systems.