Calipsa Announces New Business Development Leaders

Tara-Biglari

Calipsa announced the promotion of a regional sales director and the appointment of two business development managers as the company continues its expansion in the Americas.

Tara Biglari was promoted to regional sales director, Americas. She joined Calipsa in 2017 as a sales associate in the United Kingdom.

Since 2020, she has focused solely on business development in the Americas, forming relationships with leading Latin American industry representative companies enabling Calipsa to expand its client base. Biglari, a Maryland native, received a master’s degree in international relations from the University of Edinburgh.

“Watching our team grow over the past few years has been a joy,” she said.

“I’m excited about my increased responsibilities to help us continue our growth throughout the Americas.”

Francisco Espinosa

Francisco Espinosa is a new Calipsa business development manager. Previously, as director of monitoring operations, he oversaw a team of 140 people monitoring more than 300 customer sites for Totem, Ecuador’s largest video monitoring center and a Calipsa client. Espinosa also held several financial executive positions with Ecuadorian companies. His Calipsa territories include Latin American countries.

Andrew Gyimesi

Andrew Gyimesi is Calipsa’s new business development manager with responsibility for North America. Previously, Gyimesi was a senior sales development representative for memoryBlue, a Virginia-based sales development consulting firm helping a wide range of high-tech clients accelerate new business growth.

“The Americas represent are a tremendous growth opportunity for Calipsa’s false alarm reduction software,” said Brian Baker, chief revenue officer, Calipsa.

“We’re confident our Americas business development efforts are in good hands with Tara, Francisco and Andrew. Each has proven capabilities to handle the needs of our current and prospective clients.”

Calipsa’s technology uses artificial intelligence with deep learning technology to recognize genuine alarms caused by human or vehicle movement while filtering out notifications resulting from nuisance factors such as animals, lighting, weather or foliage. 

The result is the elimination of more than 90% of false alarms. The software is easily scalable, making it ideal for any growing monitoring station and enterprise customer business.

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