APPLIED RESEARCH · INNOVATION · DIGITAL ENGINEERING

We turn complex problems into solutions that can be implemented

Vplus develops strategies, concepts, architectures and technology solutions for companies, public institutions and research organisations.

From diagnostics and research to prototypes, validation and integration.

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STRATEGYDATASYSTEMSVALIDATION

INTEGRATED CAPABILITIES

Expertise for complex projects

We connect strategic, scientific and engineering expertise to preserve coherence between problem, technology and implementation.

01

Innovation engineering and R&D

We use engineering and scientific methods to turn needs, system failures and conflicting requirements into research directions and solution concepts.

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02

Artificial intelligence and intelligent systems

We begin with the process, data and decisions that need improvement. Technology is selected only after the problem and success criteria are defined.

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03

Digital twin, modelling and simulation

Digital models enable alternative testing, behaviour prediction and risk reduction before investment in equipment or infrastructure.

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04

Robotics and advanced industrial automation

We analyse the process, product, environment and operator interaction before selecting a robot or automation technology.

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05

Software-defined factory and autonomous production

We design architectures in which production functions, resource configuration and data flows can be defined and adapted through software.

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06

Digital transformation, smart city and cybersecurity

We redesign processes, integrate data and define digital services that are more accessible, efficient and resilient.

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07

Smart products and intellectual property

We support products that combine physical functions, sensors, connectivity, software and artificial intelligence.

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08

Business models, resilience and innovation projects

We align technology, processes, resources, partnerships and revenue mechanisms to build sustainable initiatives.

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THE VPLUS APPROACH

From problem to verifiable outcome

Projects are separated into decision stages so risks become visible before major investment.

See how we work
  1. 01

    Context — understand processes, data and constraints.

  2. 02

    Real problem — separate symptoms from causes.

  3. 03

    Alternatives — generate and select concepts.

  4. 04

    Architecture — define functions and interfaces.

  5. 05

    Validation — model, prototype and test.

FIRST STEP

Do you have a problem that does not fit a standard service?

An initial discussion can clarify the objective, maturity and next steps.

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