Deci Raises $25 Million To Optimize AI Model Production For Real-World Application
Deci, with their AutoNAC platform for increasing AI model development efficiency, has raised $25 million thanks to a Series B funding round announced today.
Created on July 13|Last edited on July 13
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AI models have proven themselves capable of running some of the most important aspects of nearly every industry. From medicine to transportation, sometimes the complexity of an automated model can just solve problems better than humans can. However, creating revolutionary AI models takes an immense amount of time and work, especially when trying to optimize it for a production environment.
Deci is a company that wants to help data scientists produce AI models more efficiently so that AI can be brought to production and applied in a real world environment quicker and cheaper.
AutoNAC is the key piece that drives Deci's platform for model optimization. By providing your baseline model, data, and target inference environment as input, the AI model within AutoNAC automatically determines the best proven architecture option for your use case, bringing inference speedups up to 15x base model speed while preserving accuracy.
We’re happy to share that Deci has raised $25M in Series B funding to empower more AI practitioners to build, optimize, and deploy highly accurate & efficient DL models with our #deeplearning development platform.
— Deci AI (@deci_ai) July 13, 2022
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Who's funding Deci and where's the money going?
Today Deci has announced a $25 million Series B funding round led by Insight partners. Additional participants include Emerge, Fort Ross Ventures, ICon, Jibe Ventures, and Square Peg Capital. This round come only 7 months after their previous funding round of $21 million.
The raised money will be going towards enhancing the research and development of their platform and products, as well as furthering expanding their marketing strategies.
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