Optimizing AI with AI Posted on : Nov 27 - 2021

“We have an AI-driven algorithm that automatically designs AI algorithms to be more accurate and run faster in a production environment,” said Yonatan Geifman, Deci AI co-founder and CEO. “Our technology automatically designs new structures of neural networks, optimizing them for the data and machine learning problems we are trying to solve and to run faster on the production hardware.”

“Deci is a company that was founded a little more than two years ago with a goal of making AI more accessible and scalable, with a technology that improves the way people develop, build, optimize and deploy AI,” Geifman asserted. ​​”So basically, we help data scientists to solve their problems faster with automated tools.” Geifman founded the company in 2019 along with its chief scientist, Prof. Ran El-Yaniv, who was Geifman’s professor at the Technion, and COO Jonathan Eliel, who served with Geifman in a top air force intelligence unit. This past October, the company secured$21 million in its Series A round, which ​​was led by Insight Partners with Square Peg, Emerge, and Jibe Ventures all participating, bringing the company’s total raised to over $30 million.

“We started with computer vision, now we are going through our early days in natural language processing. We work all the time on having better performance, better results, newer algorithms on top of our platform,” Geifman said. “We are also building our partnerships with vendors such as Intel, HP, and AWS, they help us reach customers at the right point when they have the specific pain of getting the model to production or building better models.” In fact, since March 2020, Deci and Intel have worked “to deploy innovative AI technologies to mutual customers.”

“Deci is a company that was founded a little more than two years ago with a goal of making AI more accessible and scalable, with a technology that improves the way people develop, build, optimize and deploy AI,” Geifman asserted. ​​”So basically, we help data scientists to solve their problems faster with automated tools.” Geifman founded the company in 2019 along with its chief scientist, Prof. Ran El-Yaniv, who was Geifman’s professor at the Technion, and COO Jonathan Eliel, who served with Geifman in a top air force intelligence unit. This past October, the company secured$21 million in its Series A round, which ​​was led by Insight Partners with Square Peg, Emerge, and Jibe Ventures all participating, bringing the company’s total raised to over $30 million.

 “We started with computer vision, now we are going through our early days in natural language processing. We work all the time on having better performance, better results, newer algorithms on top of our platform,” Geifman said. “We are also building our partnerships with vendors such as Intel, HP, and AWS, they help us reach customers at the right point when they have the specific pain of getting the model to production or building better models.” In fact, since March 2020, Deci and Intel have worked “to deploy innovative AI technologies to mutual customers.”

Sharing Deci’s origins, Geifman recalled his time as a student, as well as his time at Mountain View. “During my Ph.D. studies in the Technion, I developed many deep learning models, many machine learning models and while building them I found that many trial and error iterations were needed, and each iteration needed a huge amount of computing, GPUs, and so forth, in order to converge to a solution of a good model,” he said.  View more