BlinkIn GmbH
About us
Blinkin is the fastest way to build and launch multimodal AI applications for your company.
Leverage existing data—such as documents, images, and videos—and your experts' practical knowledge to create actionable AI Companions that assist your teams and customers in real-world scenarios.
The Blinkin Platform combines cutting-edge No-Code and GenAI technology, enabling everyone in your organisation to develop tailored 'problem-solvers' at scale. Use cases include troubleshooting guides in field operations, step-by-step product manuals in customer service, and interactive sales assistants—all powered by multimodal AI, RAG and AI agents.
With Blinkin's drag-and-drop Enterprise AI Studio, users enjoy an intuitive experience even for complex workflows, featuring modular functions like Visual AI for object recognition and integrated RAG chatbots.
As an additional efficiency booster for your operational teams, you can even deploy specialised AI Agents that take on recurring tasks autonomously, assist your experts, and continuously improve through adaptive learning.
Blinkin's mission is co-funded by the deeptech grant of the European Innovation Council.
Together, we make AI work for you.
Address
Raphaelweg 5
85625 Baiern
Germany
E-mail: info@blinkin.io
Phone: +49 8512 1188143
Internet: www.blinkin.io
Contact person:
Blinkin AI Companions
Lightweight multimodal AI applications, fully customisable to your use cases and target groups - designed and launched from Blinkin No-Code Enterprise Studio without any coding; real-world assistance through visual step-by-step experiences, paired with Visual AI for OCR and object recognition and integrated RAG chatbot
Blnkin AI Enterprise Studio
Collaborative no-code workspace which enables anyone to build and publish AI applications as visual step-by-step experiences; the drag-and-drop AI Studio allows for easy capture and conversion of employee knowledge and company assets - leveraging structured and unstructured data - into a scalable AI-assisted format, including visual AI models for object recognition tasks. The approach ensures a hallucination-free end-user experience by integrating AI capabilities with pre-verified expert instructions.
