Imagine having a magic 'Help Button' on your phone that sees what you see. Instead of reading a manual or waiting on hold, you point your camera at a broken appliance, and an AI guides you step-by-step to fix it using augmented reality. If the AI gets stuck, a human expert can jump in instantly to help you finish the job.
Companies face rising service costs and a shortage of professional technicians to help customers with technical setups and repairs.
A No-Code AI Studio and a platform for VisualBots that use computer vision and AR to guide users through troubleshooting.
If you are a home appliance manufacturer dealing with high volumes of basic setup calls — this project developed a No-Code AI Studio that creates visual step-by-step guides. This allows customers to fix their own devices, reducing the burden on field service teams.
If you are a specialized equipment provider dealing with a shortage of available professional technicians — this project developed VisualBots that analyze problems using computer vision. This empowers users to perform maintenance independently, improving time-to-resolution.
If you are a hardware vendor dealing with complex first-time installations — this project developed a platform for AI-boosted Companion Experiences. It uses vision-language models to guide users through setups via their smartphones.
Based on available project data, specific pricing details are not provided, but the project aims to reduce escalating service costs for manufacturers.
Yes, the project aims to create an open European ecosystem where contributors can build and sell visual skills to deliver learning models for end-users.
Based on available project data, the project is developing a No-Code platform and a new category of automated visual support, but specific licensing terms are not listed.
The platform utilizes companies' existing repositories of multimodal data, such as images, text, and videos, to develop Small and Large Vision-Language models.
The system integrates with Blinkin’s Help Desk, allowing human agents to intervene on-demand and support the user directly.
The project is led by a single German SME, Blinkin GmbH. This lean structure suggests a highly focused development cycle with all intellectual property and execution centralized within one agile entity, rather than split across a large academic or industrial consortium.
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