INDUSTRY LEADING ADVANCED
DIAGNOSTIC SOLUTIONS
Jaltest CV is the module of Jaltest Diagnostics multi-brand and multi-system diagnostics tool designed to meet the most demanding workshop needs. It enables carrying out the most advanced diagnostics tasks for the repair and maintenance of commercial vehicles such as trucks, buses, trailers, light commercial vehicles and pick-up trucks. It is a benchmark in the automotive sector thanks to its extensive coverage, adding new brands, models and systems three times a year, which guarantees a constant update of its capabilities.
Jaltest MHE (Material Handling Equipment) is the pioneering module of Jaltest Diagnostics in the sector of material handling equipment, such as forklifts, telescopic handlers, lift platforms and others. It covers a very wide range of brands, including Linde, JLG, Hyster, Genie, Jungheinrich and many more, as well as new models and systems. In addition, it offers technical information, troubleshooting guides and many other useful resources during the repair process.
Jaltest OHW is the module of Jaltest Diagnostics tool developed to perform diagnostics and maintenance tasks in off-highway equipment, such as cranes, excavators, dumpers, stationary engines, cleaning machines or road maintenance equipment, among others. It offers a comprehensive coverage incorporating new brands, including Volvo CE, Caterpillar, JCB, John Deere, Bobcat and many others, as well as new models and systems. Besides, it offers a wide catalogue of cables, the best technical information and the best support in repair processes.
Jaltest AGV is the module of Jaltest Diagnostics focused on the diagnostics and maintenance of all type of agricultural equipment, such tractors, harvesters, forage harvesters or grape harvesters, among others. It covers a wide range of brands, including John Deere, New Holland, Case IH, Class, Fendt and many more, as well as new models and systems. Besides, it offers a wide catalogue of cables, the best technical information and the best support in repair processes.