At CacheVector, we build at the intersection of machine learning, mathematics, and developer experience.

Our mission is simple: to create tools, libraries, and research that turn complex ideas into something practical. Whether it’s an ML library or an open-source project, we focus on building things that actually support developers and researchers in their everyday work.

We’re not here to chase trends. We care about clarity, real problems, and building things that last.
Clean design, thoughtful execution, and practical impact matter more to us than buzzwords or academic points.

Whether it's simplifying ML workflows, exploring math-heavy ideas, or contributing to open source, we stay grounded in curiosity and focused on usefulness.

We ship fast, iterate often, and build in the open.
If you care about great tooling, elegant math, and building useful things, follow us or check out our work:
github.com/cachevector

CacheVector

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