Expedition Technology today announced that it was selected as a finalist for the 10th Annual Small and Emerging Contractors Advisory Forum (SECAF) Awards. Winners will be announced at the SECAF Awards Gala on Tuesday, May 10, 2018 at the Hilton McLean in Tysons Corner. The event honors small and emerging government contractors and the players in the industry that rely on small business.
2018 finalists are named in the following categories:
- SECAF Government Contractor of the Year (Under $7.5 Million in Revenue)
- SECAF Government Contractor of the Year ($7.5 to $15 Million in Revenue)
- SECAF Government Contractor of the Year ($15 to $27.5 Million in Revenue)
- SECAF Award of Excellence
- SECAF Government Project of the Year
- SECAF Small Business Mentor/Partner of the Year
Expedition Technology is a finalist for SECAF Government Contractor of the Year (Under $7.5 Million in Revenue)
“Expedition Technology (EXP) is honored to be selected for the second year in a row as a SECAF Contractor of the Year Award finalist” says Marc Harlacher, President and CEO of Expedition Technology, Inc. “Strong execution by the EXP team delivered value to our customers, expanded our core businesses, and produced the best financial results in our history. We are proud to be recognized by SECAF for our efforts.”
“For the last decade, the SECAF Awards Gala has spotlighted the tremendous small businesses that are doing outstanding and innovative work in the government contracting community,” said Cameron Hamilton, Senior Managing Director at The McLean Group and one of the 2018 event chairs. “We are thrilled to recognize Expedition Technology, as it is a shining example of the tenacity, vision, and commitment that enable the community of small business government contractors to deliver excellence year in and year out.”
At EXP, our mission is to research, design, develop and deploy advanced signal and image processing solutions for our customer’s most demanding Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance (C4ISR) problems. We bring together a talented, multi-disciplinary team of machine learning researchers and engineers to craft innovative analytical capabilities and enable autonomous systems. To operate in an increasingly complex environment, our success depends on our ability to obtain accurate insight and to provide awareness wherever and whenever necessary.