macsNova: Hella Gutmann Solutions presents the new intelligence for modern workshop diagnostics at Automechanika
- macsNova combines more than three decades of diagnostic expertise with artificial intelligence
- Closed knowledge base: over 100 million vehicle histories, 100 billion parameter measurement points and 2 billion error code evaluations
- Available today in mega macs PRO, mega macs S20 and mega macs PLUS
- macsNova is the joint diagnostic intelligence of the entire Hella Gutmann ecosystem
Ihringen, 8 September 2026. Hella Gutmann Solutions, a leading provider in the field of vehicle diagnostics and workshop equipment, is introducing macsNova, the new intelligence for modern workshop diagnostics. macsNova combines more than three decades of Hella Gutmann's diagnostic expertise with validated workshop knowledge, extensive vehicle data and artificial intelligence. In this way, macsNova supports technicians in moving faster from error messages to an informed repair decision. Selected functions are already available today in the diagnostic solutions mega macs PRO, mega macs S20 and mega macs PLUS. As the overarching diagnostic intelligence of the Hella Gutmann ecosystem, macsNova will combine diagnostics, technical data, workshop processes and digital services even more closely in the future.
From error code to informed decision
Modern vehicles are increasingly software-defined, networked and complex. The number of ECUs, data sources and possible causes of errors is growing continuously - and with it the Requirements for workshops. macsNova comes in right here: Instead of manually evaluating information from different sources, the technician receives contextual information and structured orientation for the next meaningful test steps.
macsNova's knowledge base is based exclusively on Hella Gutmann's data, technical know-how and workshop knowledge: more than 100 million vehicle histories, over 100 billion parameter measuring points from real repair cases and around 2 billion error code evaluations. This closed approach fundamentally distinguishes macsNova from generic AI solutions - Quality, traceability and practicality are in the foreground. The diagnostics and repair decision always remains with the technician.
"If you really want to support workshops today, you have to bring together Know-How, data and experience exactly where the work takes place: in the ongoing diagnostic process. macsNova makes Hella Gutmann's diagnostics know-how usable for every technician - precise, comprehensible and directly relevant to action. This is not a generic AI promise, but the result of more than three decades of diagnostic experience," says Adnan Cemal, Managing Director of Hella Gutmann Solutions.
Available macsNova Features
The macsNova functions already available today include automatic diagnostics: After vehicle identification and error code query, the system analyzes relevant vehicle data, evaluates parameters and compares diagnostic information with the Hella Gutmann knowledge base. The result is prioritized causes of errors as well as concrete indications as to which components should be approved as a priority.
This is supplemented by the AI Smart Help Call: If suggested diagnostic paths do not lead to the Goal, relevant vehicle data can be transmitted directly from the diagnostic interface to the Hella Gutmann hotline. The workshop then receives an AI-supported solution proposal - without duplicate description, based on the diagnostic data already available. If necessary, direct expert contact is also possible.
macsNova marks the next step in the development of Hella Gutmann's workshop diagnostics. As a common intelligence layer of the Hella Gutmann ecosystem, the Platform is constantly growing: New, validated functions complement the existing offering, while diagnostics, technical data and digital services are increasingly intertwined across different Hella Gutmann solutions. The Goal is vehicle diagnostics that not only makes increasingly complex vehicles manageable - but also makes everyday workshop life noticeably easier.
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