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Verification & Validation
Advanced Analytics:
For Automotive and Aerospace Industries
We offer robust data and technology innovation to optimize consumer
and commercial strategies while considering functional safety
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Manage Digital Transformation Through Advanced Analytics
Confidently Engineered.
Intelligently Designed.
We offer tailored advanced analytics and data management solutions that guide our clients' digital transformation.
In today’s information-focused world, there is an influx of data on everything from product quality to factory utilization. The challenge? Knowing how to leverage that data and turn it into actionable insight.
Whether you’re in the automotive, aerospace, industrial machinery, or manufacturing field, we will help you better utilize and understand your data - no matter whether you’re dealing with data engineering, the Internet of Things (IoT), connectivity, or digital transformation.
Testing, Connectivity, and Analytics
Better Decision-Making via Better Test Data, Standards Expertise, and Analytics
Software-defined development contains millions of lines of code. Data from new product testing (from simulation through post-production), combined with robust analytics, has become a critical part of an organization’s engineering, tech, and operational infrastructure. Leveraging that data to its maximum advantage results in better decision-making and superior future development.
Traditional on-road human validation cannot keep up with the pace of product changes and the interactions among systems within the vehicle. Therefore, regression testing within the vehicle is absolutely required in a safety-critical environment.
LHP offers end-to-end testing solutions, standards expertise, and the data analytics needed to drive better decision-making. Our test-as-a-service and data analytics offerings leverage existing test infrastructure and web-based interfaces to help your team bring new products to market faster, with fewer bugs and diminished risk.
The LHP Approach
We believe in the Agile approach to IoT and analytics (specifically: Distributed Agile Development). When we combine our technology approach to processes, support, and expertise with our business domain and engineering knowledge, results follow.
At a high level, what we try to illustrate is an approach of rapid iterations and continuous reapplication of the key insights. Start small if needed, live and learn with your data, prototype often, and get information to key stakeholders early and often. This foundational approach yields significant results (50%) from the first few passes, with substantial value (80%) by the second few passes.
As you follow this approach, the quality of the model and data, and, most importantly, the business value, improve. Finally, this approach allows you to focus on individual PoCs within a factory, business unit, function, or region, or on a connected enterprise solution or an IoT-connected ecosystem.

