AI automation for validating next-generation connected and autonomous vehicles, and assurance services for automotive IT and business teams. PinnacleQM's research-backed platforms test driving scenarios that are impossible to cover manually.
Connected and autonomous vehicles must respond safely to an almost unlimited range of road, weather and behaviour scenarios, under road rules that vary between states. Physical road testing alone cannot cover enough situations to give confidence.
PinnacleQM leads research into using AI automation to validate autonomous vehicles, working with Edith Cowan University. We also support automotive IT and business teams with digital business assurance for the systems behind the vehicles.
Four ways PinnacleQM supports automotive manufacturers, researchers and IT teams.
Consultants help automotive teams define validation strategies for connected and autonomous features, and assurance strategies for the IT systems that support them, drawing on research-backed methods and PinnacleQM's delivery frameworks.
Autonomy executes test scenarios from a threat library of close to a million driving hours, processing real-time sensor data in the vehicle, so rare hazards are tested deliberately rather than left to chance.
Managed testing services for automotive IT and business systems, from dealer and customer platforms to enterprise systems. PinnacleQM runs testing to agreed scope and service levels, so your teams keep focus on delivery.
PinnacleQM's Autonomy platform and research capability are available to manufacturers and research partners, supporting scenario-based validation, joint research with Edith Cowan University and evidence for connected and autonomous vehicle programmes.
PinnacleQM works with the teams building and supporting next-generation vehicles and their systems.
Manufacturers validating connected and autonomous features against driving scenarios and road rules before vehicles reach customers.
Universities and research teams advancing autonomous vehicle validation and smart city testing through joint research programmes.
IT teams delivering the enterprise and customer systems behind vehicles, dealers and services, with testing that protects every release.
Suppliers of vehicle software and sensors who need scalable, repeatable scenario-based testing to prove their components.
AI platforms that execute driving scenarios and assure the systems around the vehicle.
Central traceability of scenarios, test results and evidence across validation programmes and teams.
Natural-language automation for automotive IT, customer and dealer systems, run by virtual testers.
AI and ML platform for real-time testing of self-driving vehicles using a large driving threat library.
Obfuscates customer and vehicle-owner data for safe testing of automotive IT systems.
Autonomy's in-vehicle AI processes real-time sensor data and executes scenarios from a threat library of close to a million driving hours, including road-rule differences between Australian states.
Enginuity's machine learning updated automation for a core banking upgrade in 2 hours, with no test pack changes needed across 1,383 changed screens.
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HealthTest obfuscated production records and tested more than 5 million transactions per day, validating a state healthcare platform without exposing patient information.
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Common questions from automotive engineering and IT leaders.
PinnacleQM’s Autonomy platform uses AI and machine learning to test self-driving vehicles in real time. In-vehicle AI processes live sensor data and executes test scenarios drawn from a threat library of close to a million driving hours, so vehicles are assessed against far more situations than physical road testing alone could cover.
PinnacleQM works with Edith Cowan University on joint research into autonomous vehicle and smart city testing. The research informs Autonomy’s scenario library and testing methods, and supports the validation of connected and autonomous features for automotive manufacturers and technology suppliers who need evidence beyond physical road testing.
Yes. Beyond vehicle validation, PinnacleQM provides digital business assurance and testing for automotive IT and business teams, including enterprise systems, customer and dealer platforms, and their integrations. These use the same automation platforms, delivery models and governance that PinnacleQM applies in banking, government and other industries.
Yes. Enigma obfuscates customer and vehicle-owner data, so automotive IT systems can be tested safely. It works alongside Enginuity, which automates automotive IT, customer and dealer systems in natural language, with tests run by virtual testers, and PinnacleQM’s managed testing services for dealer, customer and enterprise platforms.
PinnacleQM consultants help automotive teams define validation strategies for connected and autonomous features, plan scenario coverage and build assurance roadmaps for the IT systems that support them, drawing on research-backed methods and PinnacleQM’s delivery frameworks. QMFactory then provides central traceability of scenarios, test results and evidence across validation programmes and teams.
Tell us about the vehicle features, scenarios or automotive IT systems you need to validate. We will show how Autonomy and our assurance services can help.
Mention the features, jurisdictions or systems you need to test.
