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The computing infrastructure behind AI systems — rows of server racks in a data centre.

FIELD 01

Bringing AI out of the idea and into the real process.

VMV advises on, researches, develops, integrates and hands over AI solutions that fit a company's actual data, processes and infrastructure.

AI solution consulting services for businesses

  • AI and digital-transformation consulting
  • Training in AI, data and automation
  • Research and proof-of-concept development
  • AI, web/app development and integration
  • Technology transfer and post-deployment support
Illustration of engineers using a system for real-time interpreting and technical-document translation in a factory meeting.
Multilingual interpreting in meetings

Solution groups

  • Proposed application

    Data analysis and decision support

    Data sits in scattered places, reporting is manual, and trends and causes are hard to see.

  • Proposed application

    Forecasting, anomaly detection and predictive maintenance

    Demand, load and equipment condition keep shifting, and manual tracking cannot keep up.

  • Proposed application

    Computer vision and visual inspection

    Visual checking is slow, inconsistent and hard to scale.

  • Proposed application

    AI assistants and knowledge management

    People lose time hunting for procedures, documents and internal answers.

  • Proposed application

    Intelligent document processing

    Data entry, reading and cross-checking of documents are still done by hand.

  • Proposed application

    AI-enabled process automation

    Repetitive steps shuttle between email, spreadsheets, documents and internal systems.

  • Proposed application

    Voice, meeting and interpreting assistants

    Conversations need to be captured, summarised or supported across languages.

  • Proposed application

    AI embedded in robotics and engineering systems

    Robots and automated systems need perception and decision support.

  • Proposed application

    Custom models and problem-specific PoCs

    The need does not match an off-the-shelf product, or it must be proven before a large investment.

Example AI applications in business

A team working at their computers in a bright, modern office.
Proposed application

AI in everyday office work

An AI assistant working right inside Word, Excel and PowerPoint: drafting to the company's own templates, cleaning and consolidating data, building formulas and slide outlines. Everything lands in the tools the team already uses — no new software to learn.

Two engineers reviewing a production dashboard on a laptop, with a robot arm on the factory floor behind them.
Proposed application

AI built into the business

An assistant grounded in the approved document set — looking up procedures, specifications and internal guidance, and answering with a citation to the source. Integrated into the company's own web or app, with monitoring dashboards, user permissions and APIs into existing systems.