Our products allow investigators to quickly acquire
Forensic Link Adapter (FLA)
The Forensic Link Adapter is a universal device for downloading digital data from heavy vehicles. It contains an embedded computer designed to produce forensically sound records from heavy vehicle event data recorders.
Smart Sensor Simulator 2 (SSS2)
The Smart Sensor Simulator 2 is a universal device that emulates an entire truck to an Electronic Control Unit. This enables an investigator to pull an ECU off a vehicle and download the data on the bench top.
TruckCRYPT Software
TruckCRYPT is a system of programs that run on the Forensic Link Adapter (FLA) and links to the trusted Synercon Technologies server, thereby preserving all critical forensic data in a heavy vehicle incident for interpretation.
Synercon News
© Copyright . All Rights Reserved | Designed by: Dakotah Media Group
FLA, SSS2 & TruckCrypt Training!
/in Uncategorized /by Nick KozoroFLA, SSS2 & TruckCrypt Users, We want to inform you of a training event the Forensic Training Group, Synercon’s expert, authorized trainers, are offering on May 10th-11th in Bowling Green, KY! A great time to get a refresher and/or to send new employees for detailed training and insight on how to use the Synercon products […]
DG Technologies Acquires Synercon Technologies
/in Uncategorized /by Meghan FergusonPRESS RELEASE Farmington Hills, MI, USA, March 14, 2019 – DG Technologies Acquires Synercon Technologies ANNOUNCEMENT: Dearborn Group Inc., dba DG Technologies has acquired Synercon Technologies, LLC. DG Technologies is a world leader in vehicle networking services and tools. Over a 30 year history, DG’s founder, Mark Zachos, has grown the company to a […]
Heavy Commercial EDR course in Tulsa in July 2017
/in Uncategorized /by Jeremy DailySynercon is looking into attending the Heavy Commercial EDR course in Tulsa in July of this year. Is this course specifically designed for Synercon Technologies? Well, yes and no. Our goal is two-fold. 1. Help you understand the digital communications taking place on the heavy vehicle networks so can become a better expert. This involves […]