Elementary Raises $30M to Grow Its AI Machine Vision Platform

The Pasadena-based company plans to double its team to 100 employees in the next six months.

Written by Jeff Rumage
Published on Dec. 16, 2021
Elementary Raises $30M to Grow Its AI Machine Vision Platform
 Elementary’s  AI machine vision platform allows manufacturers to inspect the quality of their products in greater detail.
Elementary’s platform allows manufacturers to inspect the quality of their products. | Photo: Elementary

Pasadena-based Elementary announced Thursday that it has raised $30 million for its visual AI platform that allows manufacturers to inspect the quality of their products with more efficiency and detail.

The Series B round was led by Tiger Global, who was joined by existing investors Threshold Ventures, Fika Ventures, Fathom Capital, Riot VC and Toyota Ventures. 

The funding round comes about 18 months after the company, then known as Elementary Robotics, raised a $12.7 million Series A and three years after raising its $3.6 million seed funding round.With the new funding, Elementary plans to scale the platform worldwide. The company also plans to double its team from 50 employees to 100 employees in the next six months.

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More specifically, Elementary is growing its sales, implementation and customer success teams, along with its engineering and product development teams.

Thirty-five of the 50 employees work in Elementary’s Pasadena office. The company also has employees in offices in Mexico City, Austin and the East Coast.

When it launched in 2017, Elementary Robotics built robots that, through machine learning, artificial intelligence and computer vision, could provide quality control, visual inspection and traceability for manufacturing companies.

The company has since moved away from robotics, focusing instead on its visual AI software platform.

Arye Barnehama, founder and CEO of Elementary, said the demand for Elementary’s platform has been overwhelming, as manufacturers turn to automation to solve labor constraints. 

Unlike manual inspection, Elementary’s platform allows manufacturers to inspect all of their products with a high level of precision in a “a highly repeatable and scalable way,” according to the company.

Elementary’s no-code software does not require any programming or integration. Instead, manufacturers simply label data through an intuitive interface that informs the AI-driven inspection process.

“Our no-code AI, data-driven approach is resonating with the market, and our customers are asking for more” Barnehama said in a statement. “With over 250 million inspections performed, we are confident that we can continue to deliver insights that not only help customers ship quality products, but leverage the data to truly close the loop on quality.”

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