

Kumo.AI

Democratizing AI on the Modern Data Stack The team behind PyG (PyG.org) is working on a turn-key solution for AI over large scale data warehouses. We believe the future of ML is a seamless integration between modern cloud data warehouses and AI algorithms. Our ML infrastructure massively simplifies the training and deployment of ML models on complex data. With over 40,000 monthly downloads and nearly 13,000 Github stars, PyG is the ultimate platform for training and development of Graph Neural Network (GNN) architectures. GNNs -- one of the hottest areas of machine learning now -- are a class of deep learning models that generalize Transformer and CNN architectures and enable us to apply the power of deep learning to complex data. GNNs are unique in a sense that they can be applied to data of different shapes and modalities.
Founding Year
2021
Headquarters
Mountain View
,
United States
Sector(s)
AI
Funding State
Pre-Seed
Seed
Series A
Series B+
Exited
Total Funding Amount
$54.50M
Funds that Investested
SVA
Pre-Seed
Seed
Series A
Series B+
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A.Capital Ventures
Early-stage venture capital firm investing in consumer and enterprise technology companies.
Pre-Seed
Seed
Series A
Series B+
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Sequoia Capital
Helps the daring build legendary companies, from idea to IPO and beyond.
Pre-Seed
Seed
Series A
Series B+
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Investors that Investested
Konstantine Buhler
Partner, Sequoia Capital
I care about integrity, honesty and directness. I also look for determination, persistence and grit. I constantly remind my founders that if you persist, you will succeed. I’m also not afraid to say that love is a big part of my life. I’m not going to be just a partner or even a friend. I’m striving to bring love to you and your company in every interaction. One theme in my partnerships is virtuous data cycles—businesses where as they accumulate customers, their data becomes more valuable over time. There are lots of AI companies like that, and it can be completely non-obvious.
Pre-Seed
Seed
Series A
Series B+
Round-focused Sheets
Geography-focused Sheets
Sector-focused Sheets