Like Tenstorrent, we build experimental AI infrastructure from the ground up. Custom runtimes, compilers, and deep learning frameworks designed for performance and flexibility.
We research how to build better software stacks for AI—exploring operator fusion in deep learning frameworks, compiler optimizations, and runtime efficiency.
We apply our infrastructure to real-world research problems in healthcare (medical imaging, diagnostics) and investment (stock picking models, market analysis).
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