Glass Gallery

AI-Powered Exhibit Recognition Transforms Visitor Experience at Glass Gallery

Instant

Exhibit recognition via photo

Personalised

Visitor tour experience

The Challenge

Traditional Gallery Labels Couldn't Deliver the Depth or Interactivity Modern Visitors Expect

The gallery needed to leverage artificial intelligence to make art more accessible and engaging while providing visitors deeper understanding of exhibits beyond what traditional static labels could convey.

Our Approach

Visitors Photograph Exhibits to Instantly Receive AI-Powered Recognition and Rich Educational Content

Blindspot developed an AI-powered interactive tour application with an AI model capable of recognising specific exhibits from visitor photographs, delivering detailed information through an engaging interface and integrating "Glasspedia" educational content about glass-making techniques.

Results

Personalised, Self-Guided Tours Powered by Instant Exhibit Recognition from a Photo

Visitors can photograph any exhibit to receive instant recognition and rich information. Tours are personalised to each visitor's pace and interest. The "Glasspedia" integration provides deep educational value beyond the physical gallery experience.

Generative AI Gives Mountain Gorillas a Voice in Global Conservation

Blindspot and AWS helped Tehanu deploy Claude 3.5 Sonnet via Amazon Bedrock to process gorilla behavioural data — identifying species-specific preferences at expert accuracy and enabling the first-ever digital financial transactions conducted by a non-human species.

Expert Accuracy on gorilla preferences

Integrating Generative AI Helps Ataccama Become a Leader in the 2024 Gartner® Magic Quadrant™

Over nine months, Blindspot integrated LLM technology into Ataccama's data management platform — building a natural language interface for non-technical users and an AI co-pilot for bulk data quality rules — contributing to Ataccama's Gartner Magic Quadrant leadership position.

Gartner Magic Quadrant Leader 2024

Machine Learning Models Reduce Customer Churn at Socialbakers

Blindspot built multiple ML models to predict which customers were most likely to churn next month, enabling Socialbakers to proactively intervene with targeted retention strategies and measurably improve their retention rate.

Reduced Monthly churn rate

Next Steps

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