DeepDB helps engineering and manufacturing companies verify design specifications, simplify product change management, and reduce rework in late project phases. Our scientific approach has proven effective at a leading global OEM in Switzerland in a complex, configurable product environment.
Reduce costly discrepancies in design information.
Review your designs with algorithmic precision.
Identify potential errors and risks early on.
Get accountability from concept to production.
In mechanical engineering, design variables are interlinked by physical and logistical constraints. Unforeseen side effects can compromise product quality and production readiness long before the consequences are fully understood.
Engineering logic is spread across documents, tools, and teams, and there is no immediate verification process.
To understand how changes affect a complex mechanical system, manual reviews and expert knowledge are required.
Design consistency is not ensured until a late stage in the process, when changes become costly and difficult to implement.
It is difficult to determine where a problem needs to be fixed. Root cause analysis requires investigations by multiple teams.
Our custom implementations organize design data, align it with manufacturing requirements, integrate it into analytical user interfaces, and track changes to it. The result is an operational verification stack that supports day-to-day engineering decisions and improves the configuration and production readiness of design specifications.
We create a structured database containing definitions, criteria, constraints, and change histories, which enables review, analysis, and traceability.
We incorporate design logic in the form of verification algorithms so that engineering teams can assess feasibility and configurability before decisions are passed on.
We implement interactive analytical user interfaces to identify potential discrepancies and production risks before they lead to rework in later stages.
We document provenance in the verification system to ensure that changes remain traceable, responsibilities are clear, and decisions are recorded over time.
Our scientific approach makes engineering design processes more reliable, transparent, and efficient. Our solutions reduce the need for rework and enhance long-term operational capability.
Gain an overview of dependencies, impacts, and necessary actions.
Conduct local tests and integrity checks on complex engineering logic.
Replace manual processes with structured, accessible information.
Detect discrepancies early on, before costly problems arise.
We are your long-term service partner for the development, integration, and operation of customized design verification systems within your own engineering and IT environment. Our work combines expertise in computer science with know-how in mechanical engineering and close integration into daily operations.
We analyze your design verification challenges and demonstrate a customized approach through a proof of concept.
We develop a bespoke design verification system within your IT environment for your mechanical engineering use case.
We deploy, monitor, and maintain your design verification system reliably in production and support you in the process.
Start with one engineering problem and transform it into a verification capability.
DeepDB was initiated by computer scientists at the Research Laboratory for Systems and Software at the Lucerne University of Applied Sciences and Arts. We integrate database systems, big data analytics, knowledge engineering, and metadata management into the mechanical systems environment. Our data-driven approach makes complex product designs analyzable, verifiable, and traceable.
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Development, Integration, Testing, Deployment.
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Whereas validation ensures that a product fulfills its intended use, verification demonstrates that the design satisfies specified technical and manufacturing requirements. In mechanical engineering, verification relies on physical principles such as geometry, material behavior, manufacturing tolerances, wear, structural integrity, and safety under uncertain operating conditions.
Our data-driven approach helps you make decisions and take action to ensure that specifications function as intended during configuration, manufacturing, and operation under real-world conditions. This results in fewer errors and reduced risks. To achieve this, we integrate and organize the data, model the logic, analyze consistency, and track changes to your designs.
We enjoy working with clients who develop complex mechanical engineering designs. Please contact us with a brief introduction and a description of your challenge to initiate an assessment. All inquiries are reviewed on a case-by-case basis. If your project is a good fit, we will begin by analyzing your existing design specifications and IT infrastructure. We will then develop a solution for a reliable design verification system, including a proof of concept.
