AI-POWERED ART DISCOVERY

Intelligent Art Discovery. Personalised for Every Art Enthusiast.

axisSoftware built an AI-powered platform for Aakriti Art Gallery that understands art, your taste and your space—helping you discover, connect and visualise art like never before.

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About the Client

AI Powered Art Discovery: axiusSoftware Builds an Intelligent Digital Experience for Aakriti Art Gallery

Aakriti Art Gallery, established in 2005 and based in Kolkata, is a prominent institution in the Indian modern and contemporary art ecosystem. The gallery engages with art through curated exhibitions, collections, publications, research and archival initiatives, connecting artists and their work with collectors, researchers and art enthusiasts.

As Aakriti’s digital presence evolved, the opportunity was to go beyond simply displaying artworks online. The gallery wanted to make its collection and curatorial knowledge more accessible through an intelligent digital experience that could understand user interests, recommend relevant artworks and help visitors engage with art in a more meaningful way.

Client

Aakriti Art Gallery

Location

Kolkata, India

Industry

Art & Culture / Fine Art

Platform

Web

Core AI

Generative AI, Semantic Search

AI Technologies

OpenAI, Embeddings, Pinecone

Key Experiences

Ask Aakriti, Discover Artworks

Technology

Laravel, MySQL

Project Overview

Aakriti Art Gallery partnered with axiusSoftware to transform its digital platform into an intelligent and personalised environment for art discovery.

The objective was to create an AI layer around Aakriti’s artwork collection and domain knowledge, enabling visitors to discover artworks through natural interactions rather than relying only on traditional categories and keyword searches.

axiusSoftware integrated Generative AI, embeddings, semantic search, vector retrieval and recommendation intelligence into the platform. The solution also incorporated behavioural signals, continuous indexing and visualisation capabilities to create a connected digital journey from discovering an artwork to understanding its relevance and visualising it within a user’s space.

The resulting ecosystem includes Ask Aakriti, Discover Artworks, personalised recommendations and Visualise Art in Your Space, bringing together technology and Aakriti’s art expertise within a single digital experience.

Intelligent Art Discovery JourneyIntelligent Art Discovery Journey

Challenges Faced

  • Complex Art Discovery: Aakriti’s collection spans different artists, styles, mediums, subjects and categories. Users needed a simpler way to discover relevant artworks without knowing exactly what they were looking for.
  • Understanding User Intent: Art preferences are often subjective. Visitors may search based on mood, style, theme, colour, medium or their surroundings rather than specific keywords.
  • Personalised Recommendations: The platform needed to move beyond generic artwork suggestions and consider individual preferences and interaction patterns when recommending artworks.
  • Digitalising Curatorial Knowledge: Aakriti’s value extends beyond its artwork catalogue to its research, archives, publications and curatorial expertise. This knowledge needed to become accessible through an intelligent digital interface.
  • Keeping AI Knowledge Current: As the collection evolves, new and updated artwork information needs to be incorporated into the AI layer without requiring the entire system to be rebuilt.

Solutions Implemented

  • Semantic Artwork Discovery: axiusSoftware implemented embedding-based semantic search to understand the contextual meaning behind user queries and identify relevant artworks beyond exact keyword matches.
  • Generative AI and Vector Search: OpenAI was integrated for AI capabilities, while Pinecone provides vector storage and retrieval for artwork embeddings, creating the foundation for semantic discovery and recommendations.
  • Continuous Indexing: A continuous indexing and embedding pipeline allows new and updated artwork information to be incorporated into the AI knowledge layer as the collection evolves.
  • AI-Powered Recommendations and Ask Aakriti: The recommendation engine uses artwork information and relevant user signals to create personalised suggestions, while Ask Aakriti provides a conversational interface for exploring artworks, artists and art-related knowledge.
  • Visualise Art in Your Space: Users can upload an image of their environment and explore how a selected artwork could appear within that space, connecting digital discovery with the physical context of the collector.
Intelligent Art Discovery Journey

Impacts and Results

  • More Intelligent Art Discovery: Visitors can explore the collection using contextual and semantic interactions rather than relying entirely on traditional catalogue navigation.
  • Personalised User Experiences: The platform can connect artwork characteristics with user interests and behavioural signals to create a more relevant discovery journey.
  • Digital Extension of Curatorial Expertise: Ask Aakriti provides an interactive way for visitors to access Aakriti’s art knowledge and receive contextual guidance while exploring artworks and artists.
  • Bridging Digital and Physical Experiences: Visualise Art in Your Space helps users consider how an artwork may look within their own environment, adding a practical dimension to online art discovery.
  • Scalable AI Foundation: Embeddings, vector search and continuous indexing provide an extensible foundation that can support additional AI-driven discovery and personalisation capabilities as Aakriti’s collection and digital ecosystem grow.

Technology Stack and AI Capabilities

Technology Category Technology / Tool
AI & Generative AI OpenAI, Embeddings
Vector Database Pinecone
Backend Laravel
Database MySQL
AI Capabilities Semantic Search, Recommendation Engine,
Conversational AI, Personalisation, Visualisation
Data Processing Continuous Indexing and Embedding Pipeline

AI Development for Intelligent Digital Experiences

AI delivers the greatest value when it is connected to a real business and domain problem.

At axiusSoftware, we combine AI application development, Generative AI, machine learning, semantic search, recommendation engines, conversational AI and custom software development to build intelligent digital experiences around specific business requirements.

The Aakriti Art Gallery project demonstrates how specialised domain knowledge can be combined with practical AI engineering to create a digital product where intelligent capabilities are integrated into the overall user journey rather than added as standalone features.

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Our teamwork, dedication, and positivity drive us to envision a change for the benefit of all and to make a difference.