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FINDIQ

FINDIQ combines knowledge management and assistance systems to create a digital service solution that captures and utilizes the expertise of top service technicians for machine maintenance. This approach enables inexperienced service staff to quickly access critical diagnostic and repair information, reducing response times by 67% and enhancing service efficiency.

Herford, GermanyFounded 2022161K+ followers
Updated 4 months ago

Funding

$1.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Machine maintenance often relies on the undocumented expertise of veteran service technicians, making it difficult for less experienced staff to diagnose and repair complex issues quickly. This knowledge gap leads to slower response times, increased downtime, and inconsistent service quality across different technicians and service partners.

Solution

FINDIQ is a digital service solution that combines knowledge management and an assistance system to capture and utilize the expertise of experienced service technicians. The platform digitizes the knowledge of top service experts and assists inexperienced service staff in finding the right service solution. FINDIQ's intelligence manages the transfer, expansion, and self-optimization of the knowledge base. The system enables inexperienced staff to quickly access diagnostic and repair information, improving service efficiency.

Target Audience

FINDIQ targets machine builders seeking to expand customer relationships through digital service offerings, service providers aiming to maintain consistently high service levels across a broad machine portfolio, and machine operators planning to stabilize production availability by enabling internal staff to perform quick on-site service.

Features

  • Centralized knowledge base for machine knowledge, integrating mechanical, electrotechnical, and process knowledge.
  • Intelligent processing of knowledge into an assistance system.
  • Automated generation of instructions and documentation for service solutions.
  • Self-optimization and expansion of the knowledge base in the field.
  • Rapid digitization of machine knowledge.
  • Facilitates knowledge transfer from experienced to inexperienced staff.
This profile is AI-generated and may contain inaccuracies.