Self-Serve Apps for ML Teams | Greylock

Data science teams can use Baseten to efficiently serve, integrate, design, and ship their custom machine learning models with ease. A key benefit of Baseten is that it collapses the innovation cycle for ML apps, resulting in cheaper experimentation and greater success. It unblocks ML efforts currently bottlenecked by infrastructure, frontend, and ... See more

Implementing ML requires high coordination, highly skilled engineering, and product development. Baseten's co-founders were data scientists who scrappily became full-stack engineers so they could use machine learning to mitigate fraud and abuse and moderate user-generated content. At Clover Health, Amir led teams that developed machine learning mod... See more

Despite its incredible progress, machine learning hasn't moved forward. McKinsey famously estimated that industries could unlock $5T+ of value by integrating machine learning. Although companies have invested a lot in AI, they still don't seem to be getting there. They describe a feeling of fatigue that has started to show that AI is just for elite... See more

After his startup was acquired, Tuhin Srivastava was only a few months into unemployment when I met him at Greylock. During the discussion that led to Baseten, we spent several hours discussing it, and I found the diagram that he had recreated in some form many times over the past two years from our first meeting notes. I have been searching for a ... See more

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