Artelligent - Intobi

Background

Artelligent is an application that helps to build a route around the Anatomical Museum of the University of Basel based on the user’s interests. It is suitable for students, professors, and people interested in medicine. Powered by AI, it builds an optimal route based on your requests and marks the halls that correspond to the set filters.

Business challenges

Low engagement — the museum experienced low student attendance.
Outdated navigation — traditional paper guides and static displays did not connect specimens to modern medical curricula.
Waste of time — people interested in a particular topic must have walked around the entire museum with a tour guide instead.
Scalability issues — there was a lack of technical expertise to create a digital solution to adapt to different curricula and future expansions.

Value delivered

AI-Powered Education Revolution — AI transformed medical students’ interaction with anatomical specimens, enhancing engagement and knowledge retention.
Universal Access — Native iOS/Android apps with AR, 3D models, and curriculum integration work across all devices.
Scalable Infrastructure — Cloud-based CMS enables easy expansion with new specimens and integration with university platforms.
Rapid Deployment — A team of 3 developers released 15 functional updates in a single academic year.
Proven Reliability — Over 5,000 downloads within the first 3 months after implementation.
Expert-Approved Content — All materials undergo medical validation by university faculty.

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Universal application for medical education

The artificial intelligence-based platform now covers the entire anatomical learning cycle in a single space. The solution has become a comprehensive educational tool that provides:

Personalized learning paths
Interactive specimen exploration
Content aligned with the curriculum
Augmented reality visualization
Knowledge assessment tools
Seamless academic integration

This fundamentally changes the way students approach medical specimens and simplifies access to complex anatomical knowledge.

A more engaging learning platform with enhanced educational tools

We’ve completely reimagined the museum experience and implemented innovative features to make learning anatomy interactive and aligned with the curriculum.

Intuitive navigation — Artificial intelligence-generated routes lead students to specimens according to the curriculum.
Advanced learning tools — intelligent recommendations for related exhibits, personalized test alerts, and automatic tracking of study sessions.
Optimized medical content — highly accurate 3D specimen models, instant access to academic references, and integrated annotation tools.

The platform provides medical students with everything they need to learn human anatomy from museum collections.

Improved app interface

Updates for museum visitors enhance visitor experience and make navigation easier, without unnecessary effort.

Personalized routes and interest analytics — set your preferences, and AI will build the optimal route through the Anatomical Museum of the University of Basel, marking the rooms that match your selected filters on the map.

Integration with the museum map — automatic visualization of the route and rooms allows students, teachers, and medical enthusiasts to navigate and get the most out of their visit easily.

Application core architecture

We have enhanced Artelligent algorithms to ensure that routes are built quickly and accurately, even with a large number of users.

Interactive visit analytics — dynamic charts transform data on the popularity of exhibits and halls into clear trends for a deep understanding of visitor interests.

Mass route generation — create optimal routes for groups of students, tourists, or scientific delegations in a single action.

Accurate mapping — high-precision maps and intelligent hall search instantly display locations that match the selected filters.

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Team:

BACK-END DEVELOPER
REACT NATIVE DEVELOPER
QA ENGINEER
UX DESIGNER
MEDICAL HISTORIANS (UNIVERSITY OF BASEL)

Core Technologies:

AI

React Native

React Native

Node.js

Node.js

“We spent the first six months perfecting the AR core — we debugged hundreds of pattern recognition scenarios, reimagined the learning interface, and fundamentally redesigned the knowledge assessment system. In the next quarter, we focused on building scalable infrastructure and developing AI algorithms for the curriculum.

When a university integrated our solution into their mandatory medical program just a year later, we realized that our deliberate, iterative approach had allowed us to create truly transformative educational tools.”

Andrew Tsopych

Andrew Tsopych

CEO

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