[ Frequently Asked Questions ] From data to better NVH decisions. To make better NVH decisions, you need to understand how data becomes actionable insight. These FAQs answer key questions – from data acquisition and workflow design to scaling, integration, pricing, and day-to-day operations.
01Platform & Core Concept
NVH-One is an open data and analytics platform for physical-dynamic raw and analysis data – whether preprocessed, condensed, or already analyzed. It captures data online from a wide range of sensors or accesses existing measurement data and files, then processes and analyzes them automatically. The result is fast, reliable, decision-ready insight from complex measurement data.

Through standardized interfaces and modular data pipelines, NVH-One integrates seamlessly into existing IT and engineering environments – either as a standalone solution or embedded into higher-level systems. The platform reduces manual expert effort, standardizes analysis workflows, and scales from individual test campaigns to series operation.

In short: NVH-One makes complex physical measurement data faster, more consistent, and usable across systems – from sensor to decision.
NVH-One is not just an analysis front end. It is an end-to-end ETL workflow service: from data acquisition and automated signal paths such as Foundry to evaluation, integration with BI and expert tools, report generation, and AI-ready data processing.
NVH-One runs natively on AWS (Amazon Web Services) but can also be deployed on other cloud platforms or in on-premises environments.
The platform is designed for pre-production testing, endurance testing, prototype validation, fleet measurements, and automated NVH monitoring. It also supports production and manufacturing processes through precise, fast, and automatable NVH analyses.

This enables quality assurance, process monitoring, optimization, and predictive maintenance – with measurable improvements in process stability, product quality, and operational reliability.
02Data Sources, Edge & Connectivity
The platform is vendor-independent and integrates heterogeneous measurement hardware such as edge devices, data loggers, test benches, vehicle sensors, and existing physical measurement chains. This also includes high-end measurement systems with hundreds of channels, digital – including wireless – microphones, and other smart measurement devices and sensors.
Data is transferred to the cloud from connected data sources and expert systems such as PAK. Transport is handled through a stable, scalable event and streaming layer, such as NATS – either continuously or event-based.

Alternatively, existing files can be uploaded easily and efficiently.
Yes. Preprocessing, filtering, and data reduction can be performed directly at the edge to optimize bandwidth and latency. Data can also be loaded locally and used for offline analysis.

A caching concept ensures that existing cached data remains available if the connection is temporarily unavailable. In the background, the platform automatically checks whether updates are required.
Existing legacy data is indexed and then made fully available through NVH-One. Where required, the interpretation of proprietary formats must be defined before indexing – for example by adding an ATFX header.
In addition to ASAM ODS ATF/XML (.atfx), NVH-One directly supports and natively reads ASAM MDF4.x (.mf4) files and PAK Binary Data.

Connectors are available for additional common formats, allowing flexible integration of different data sources. Compatible formats include CSV, SDF, TXT, UFF, WAV, and many others.
Compatible data formats are used by software such as Brüel & Kjær PULSE, Dewesoft, Dewetron OXYGEN, ETAS INCA, HEAD acoustics ArtemiS, Siemens Simcenter Testlab, Vector CANape, Yokogawa XY, and many others.
03ETL Pipelines & Workflow Design
NVH workflows can be modeled through a node-based visual UI or a low-code language. Complex signal paths such as Foundry can be built transparently, versioned, and reused.
No. In addition to predefined NVH pipelines, customer-specific ETL processes can be freely configured.
High-performance operators are available for complex analysis, signal processing, feature extraction, and fingerprinting – including an expert mode for fine-tuning.
04Performance & Scaling
Yes. The platform supports scalable, parallel processing of large data volumes. It is primarily optimized for continuous data streams with high data rates, but it can also efficiently process discontinuous or batch-based data.
Scaling is implemented horizontally through cloud resources or within the customer’s own on-premises cluster. Processing, storage, and streaming scale independently.
Yes. Streaming-based processing enables analysis and result availability with very low latency.
05Integration & Openness
NVH-One can be accessed through the web interface or the PAK 6 expert software. In addition, customer-specific clients can be provided, or your own applications can be connected via the REST API.
Yes. NVH-One provides a documented REST API for data access, control, and integration into existing IT and BI environments. Bidirectional connections to BI tools, simulation environments, expert software, and data lakes are possible.
06Security, Compliance & Operations
Data security is ensured through role-based access control, end-to-end encryption – both in transit and at rest – and fully traceable logging.

In addition, NVH-One uses secure IaaS infrastructure and managed services with high security standards, supported by regular updates and penetration testing.
Yes. In addition to SaaS operation, NVH-One can be operated entirely within the customer’s own cluster.
NVH-One addresses common industrial security and data protection requirements. Specific regulatory requirements – such as audit-ready workflows – are implemented according to the deployment model and customer-specific needs.
07Collaboration & Organization
Centralized, standardized pipelines can be used by different departments and roles. Shared data states enable synchronized, consistent access and support collaboration across departmental boundaries.
Digital collections allow teams to generate and share insights efficiently and collaboratively, directly from the data. Role and permission models ensure that access, data ownership, and control remain clearly governed at all times.
08Reporting & Results
Analysis results are provided through efficient streaming, API access, or automated reports.
Yes. Report creation, distribution, and archiving can be configured individually, rule-based, and reproducibly.
Yes. Experts can work with raw data, analyses, and related artifacts, while management can access condensed KPIs and fully interpreted NVH insights.
Yes. Versioned pipelines, audit-ready workflows, and documented calculation steps ensure transparency, traceability, and auditability.
09Getting Started & Daily Operation
NVH-One is designed to be easy to get started with. Tutorials, AI-based chats, and agents answer questions directly and reduce the need to read extensive manuals or documentation. Expert support is also available if required.
The Early Enablement Package is a fixed-price Proof of Concept (€4,900) that enables engineering teams to validate real-world workflows in a dedicated customer environment before scaling to production.

Instead of working with demonstrations or sample projects, you build a production-oriented NVH-One environment using your own engineering processes, real data and guided implementation support.

The package includes:
  • 3 months of platform access
  • Up to 10 users
  • Dedicated secure customer environment
  • Foundry workshop to configure your first workflow pipelines
  • Work with your own engineering data
  • Setup and expert support throughout the enablement phase
Your work is never lost: If you decide to continue with NVH-One, your environment, workflows and engineering data remain in place and can be seamlessly expanded into a productive deployment.

Start small. Scale with confidence.

Explore now
No. Standard workflows enable fast value creation, while experts retain maximum control when needed.
NVH-One is particularly relevant for organizations that want to use physical-dynamic data – especially NVH data – more efficiently:
  • Companies with existing NVH expertise that want to simplify and standardize analysis processes or safeguard diminishing expert knowledge.
  • Organizations without their own expert system that have so far been held back by high investment costs and want to access sound NVH expertise through a SaaS approach – for example engineering and development service providers.
  • Industrial companies that analyze and optimize products, production processes, plants, or machines in terms of noise and vibration behavior.
  • Any users who need to analyze, further process, and convert physical-dynamic measurement data of any kind into actionable decisions.
10Cost Planning Tool
The cost estimator provides a non-binding, realistic monthly estimate based on use cases, number of users, data volume, region, availability requirements, and operating model.
Actual costs depend on pipeline complexity, data rates, load profiles, and integration effort.
Monthly base costs include platform operation, core functions – Depot, Processing, Streaming, and Reporting, depending on the selected scope – infrastructure, and standard support.
One-time setup costs cover initial configuration, security setup, basic pipelines, and, where applicable, initial integrations.
Streaming and processing require more compute and infrastructure resources than pure data storage or reporting.
More users create higher system load, more parallel access, and additional license and server costs.
Storage, replication, and backup retention for NVH raw data are key cost drivers.
Prices vary by region due to differences in cloud provider costs and regulatory requirements.
Increased availability means additional redundancy and failover capabilities – useful for production-related or business-critical use cases.
SaaS is usually more cost-effective. On-premises operation may be worthwhile when specific compliance or infrastructure requirements apply, for example in the customer’s own cluster.
Ongoing costs are predictable as long as data volume, number of users, and use cases remain stable. Monitoring helps prevent surprises.
The next step is an individual quote with aclearly defined scope of

services and SLAs.
Collaborate. Optimize.
Benefit.
Schedule your personal consultation today
Get started – whether you're just starting out or want to take your analytics to the next level. With our business enablement platform, you can achieve your goals smarter, faster, and more efficiently.
A brand of
Müller-BBM VibroAkustik Systeme GmbH

+49 (89) 26 48 60-0
Engineering Intelligence Starts Here:
From Sensor to Decision – Stay Updated Subscribe Stay informed about technologies, workflows, and best practices that accelerate data-driven engineering.
How it works Value add Pipeline Technology Stories Pricing About us Roadmap
GTC Imprint Privacy Policy
© 2026 Müller-BBM VibroAkustik Systeme GmbH