L-3 Electro-Optical Systems (L-3 EOS), a division of L-3 Communications, announced today the launch of its new Grant Assistance Program. The company has contracted one of the industry’s most recognized Senior Certified Grants Specialist, Margaret Stark to provide this service.
L-3’s Grant Assistance Program will assist public safety agencies to identify and apply for public and private funds. L-3 EOS will provide Margaret Stark’s services at no cost to agencies. This service includes locating appropriate funding opportunities, answering questions and providing guidance for completing grant applications. This program will help agencies by identifying research data, determining relevant equipment and reviewing applications for common errors or omissions prior to application submission. During her career, Ms. Stark has assisted more than 10,500 law enforcement and public safety agencies which resulted in over $150 million in funding. She helps law enforcement agencies identify available grant monies and then provides step-by-step direction as to how agencies may secure the needed funding.
For more information about the new Grant Assistance Program, please contact Margaret at EOS.Grants@L-
L-3 EOS is a leader in developing cutting-edge Gen III and Next-Gen night vision weapon sights and goggle systems for discriminating governments, soldiers, police units and others that demand the finest night vision available. Night vision systems available from L-3 EOS include AN/PVS-14A (M914A), AN/PVS-15 (M953), AN/AVS-9 (M949), AN/PVS-17 (M955/M957), AN/PVS-24 CNVD (M2124/M2124-
Headquartered in New York City, L-3 Communications employs over 66,000 people worldwide and is a prime contractor in aircraft modernization and maintenance, C3ISR (Command, Control, Communications, Intelligence, Surveillance and Reconnaissance)
To learn more about L-3, please visit the company’s Web site at www.L-3com.com.
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Except for historical information contained herein, the matters set forth in this news release are forward-looking statements. Statements that are predictive in nature, that depend upon or refer to events or conditions or that include words such as “expects,”



