Veritone’s (VERI) “Buy” Rating Reiterated at D. Boral Capital

Veritone (NASDAQ:VERI)‘s stock had its “buy” rating reiterated by stock analysts at D. Boral Capital in a research report issued to clients and investors on Monday,Benzinga reports. They currently have a $4.50 price target on the stock. D. Boral Capital’s price objective would suggest a potential upside of 72.41% from the stock’s current price.

Separately, HC Wainwright initiated coverage on Veritone in a research note on Friday, February 21st. They issued a “buy” rating and a $6.00 price target for the company.

Veritone Stock Up 11.5 %

NASDAQ VERI opened at $2.61 on Monday. The company has a market capitalization of $104.87 million, a price-to-earnings ratio of -1.21 and a beta of 3.43. Veritone has a twelve month low of $2.03 and a twelve month high of $7.76. The stock has a fifty day simple moving average of $2.94 and a 200 day simple moving average of $3.14.

Hedge Funds Weigh In On Veritone

A number of hedge funds have recently bought and sold shares of VERI. Clarity Capital Partners LLC bought a new position in shares of Veritone in the 4th quarter worth about $34,000. Bayesian Capital Management LP acquired a new stake in Veritone during the fourth quarter worth approximately $39,000. LPL Financial LLC bought a new stake in Veritone in the fourth quarter worth approximately $48,000. Benjamin Edwards Inc. acquired a new position in Veritone in the third quarter valued at approximately $65,000. Finally, Charles Schwab Investment Management Inc. bought a new position in shares of Veritone during the 4th quarter worth approximately $66,000. Institutional investors own 39.18% of the company’s stock.

About Veritone

Veritone, Inc, together with its subsidiaries, engages in the provision of artificial intelligence (AI) computing solutions and services in the United States, the United Kingdom, France, Australia, Israel, and India. It develops and operates aiWARE platform, an AI operating system, that uses machine learning algorithms or AI models designed to mimic human cognitive functions, such as perception, prediction, and problem solving and optimization, as well as enables users to transform unstructured data into structured data, and analyze and optimize data to drive business processes and insights.