Sparsa Ai

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Sparsa Ai

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We are reducing the computation costs associated with large AI models


At Sparsa, we envision a future where the transformative power of artificial intelligence is accessible and sustainable for all. Rooted in our pioneering technology for neural network sparsification, our goal is to revolutionize the AI landscape by significantly diminishing its computational footprint. We are dedicated to curtailing the growing energy, memory, and time demands of AI models, making them more efficient and eco-friendly. Our vision extends beyond technological advancement; it's about democratizing AI, enabling these powerful tools to run seamlessly on personal devices, and unlocking new possibilities across various sectors. We don't just anticipate the future; we are actively shaping it to be more inclusive, efficient, and sustainable.


Team

Partha Ray, BSEE, MBA

Gilmer Valdes, PhD, DABR

Gilmer Valdes, PhD, DABR

Chief Executive Officer

Co-Founder 

25 years experience creating transformative products & businesses with technology.

Gilmer Valdes, PhD, DABR

Gilmer Valdes, PhD, DABR

Gilmer Valdes, PhD, DABR

Chief Scientific Officer

Co-Founder

Assoc. Professor, UCSF, UCB.

Algorithm Design, Statistical Learning Regularization, Inventor.

Jerome Friedman, PhD

Gilmer Valdes, PhD, DABR

Jerome Friedman, PhD

Chief Scientific Advisor

Co-Founder

Prof. & Fmr. Chair, Statistics, Stanford.

Scientific Advisor, Google. Creator of Glmnet, Gradient Boosting, CART.

AAAS Fellow, NAS elected member.

Carlos Garcia, PhD

Gilmer Valdes, PhD, DABR

Jerome Friedman, PhD

Lead ML Developer

Co-Founder

Machine Learning Specialist, UCSF. Optimization,  Computer Vision and Natural Language Processing. 

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