Percipient, with Its Security Analysis Machine-Learning Platform, Closes $14.7 Million Series A Round Led by Venrock (Photo credit: WikiImages / Pixabay)

Percipient, with Its Security Analysis Machine-Learning Platform, Closes $14.7 Million Series A Round Led by Venrock

Analytics platform provider has closed on a $14.7 million series A funding round. Led by Palo Alto-based venture capital firm Venrock, the round gives the firm a $58.5 million valuation.

The Sunnyville, California-based company has been focused on offering analytics to enterprises in the national security space and has been expanding that into the corporate realm along with the advancement of its signature “Mirage” platform.

The underlying technology uses machine learning to better analyze unstructured data, and the company has been able to carve out a reputation in the national security world in large part due to the vision and experience of founder and CEO Balan Ayyar, who is a former U.S. Joint Task Force Commanding General in Afghanistan.

“Operationalizing machine learning and computer vision has been a dream for our most-demanding customers — one they talked about with the Senate Intelligence Committee in late February,” said Ayyar. “They are drowning in data while our adversaries are moving quickly to seize the opportunity that vulnerability presents.”

He says that the financial bet by Venrock, “an early investor in Intel and later Apple,” illustrates that Percipent’s “purpose-driven tools” can help give clients the “time sensitive analysis their mission demands.”

READ MORE: UiPath Secures $153 Million in Massive Series B Round Led by Accel

Nick Beim of Venrock, which was founded in the 1960s by Laurance Rockefeller, praised the technology’s ability to address the “most critical shortfalls in security today” and sees Percipient as an growing player to help solve this concern.

“Whether you are in intelligence or business, the ability to detect the first change in a pattern or uncover a network hidden in thousands of hours of unstructured data could mean the difference between winning and losing in important missions and in global markets,” said Beim.

(Photo credit: WikiImages / Pixabay)

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