Perinet Learning
AI-powered interactive learning experiences that turn complex concepts into visual, explorable, and adaptive activities.
- For
- Learners from primary school to university
Bootstrapped · Founded June 2026 · Türkiye
Perinet builds visual, explorable tools that make complex systems easier to understand and to plan: Perinet Learning for education, from primary school to university, and Perinet Mobility for public transportation planning.
Live demos:
Products
Perinet turns complex systems into something people can see, change, and explore: scientific concepts for learners, transport networks for planners. Both product lines have live, public demos.
AI-powered interactive learning experiences that turn complex concepts into visual, explorable, and adaptive activities.
AI-assisted public transportation planning, network analysis, and route optimization on real road networks and real terrain.
Perinet Learning
From foundational learning to advanced AI concepts, Perinet Learning creates interactive experiences for different stages of education.
Primary school
lara.perinet.org
Experimental interactive learning experiences designed for younger learners.
Open Demo: Early Learning Experiments (opens in a new tab)High school
dersler.perinet.org
Interactive physics and chemistry learning experiences built around visualization, experimentation, and exploration.
Open Demo: Interactive Courses (opens in a new tab)University
ml.perinet.org
Interactive experiments and visualizations for understanding machine learning algorithms, neural networks, and AI concepts.
Open Demo: Machine Learning Lab (opens in a new tab)All three demos are publicly accessible today. Their interfaces are currently in Turkish.
Why Perinet Learning
Students learn by manipulating, experimenting, and observing rather than only reading.
Learning content can adapt to the learner's age, level, and progress.
Abstract concepts are transformed into animations, diagrams, simulations, and interactive models.
The same learning philosophy is applied across different ages and levels of complexity.
In development
We are developing AI-assisted learning workflows for personalized explanations, adaptive exercises, structured feedback, interactive simulations, and guided exploration.
AI helps interpret the learner's level and learning objective.
Concepts are presented through interactive visualizations, simulations, exercises, and activities.
Students receive explanations, feedback, and progressively adapted learning experiences.
Perinet Mobility
An AI-assisted public transportation planning, network analysis, and route optimization platform for municipalities, planners, and transport operators.
Live pilot · Ürgüp, Cappadocia
logistics.perinet.org
The published minibus (dolmuş) network of Ürgüp on an interactive map: lines, stops, and neighborhood coverage, a 3D terrain view with elevation profiles, and downloads in KMZ and GTFS formats.
The demo is public and available in English and Turkish. Editing and optimization run in a separate planning workspace that requires sign-in.
Why Perinet Mobility
Lines, stops, and neighborhoods on one map, with neighborhood service coverage and per-line statistics.
OR-Tools vehicle routing, 2-opt sequencing, and an experimental genetic algorithm, with distance, travel time, or energy as the cost.
A direction-dependent energy model for electric minibuses on 30 m elevation data, documented in an open research package (opens in a new tab).
Each published line downloads as KMZ for Google Earth, and the whole network as a GTFS feed, the standard format for transit data.
How it works
Planning happens on a revisioned draft. Nothing reaches the public map until a planner approves it and the quality checks pass.
Route drawings, stop registers, and street data from KML, Shapefile, Excel, PDF, and Netcad files are merged into one road-network model.
Optimization proposals are computed on the real road graph and compared with the current network on the map.
An approved proposal passes automatic quality checks and is published as a new release of the public map.
Working products
Perinet is not just a concept. We are actively building and testing interactive software across science, mathematics, machine learning, and public transport planning.
26
physics and chemistry topics, each with a lesson, a virtual lab, and a quiz
dersler.perinet.org (opens in a new tab)26
interactive machine learning modules, from k-nearest neighbors to neural networks
ml.perinet.org (opens in a new tab)7
subject areas for second-grade learners, including math, Turkish, and English
lara.perinet.org (opens in a new tab)130
stops on 6 published minibus lines, 94.3 km in total, in the Ürgüp network
logistics.perinet.org (opens in a new tab)Counts as published on each live demo, October 2026.
Our vision
Digital tools often keep complex systems static: a textbook moved onto a screen, a route network drawn once and filed away. Perinet is built around a different idea: people understand more and decide better when they can change parameters, observe results, compare options, and learn through exploration. That holds for a student studying waves and for a planner redesigning a minibus network.
About
Perinet is an early-stage, bootstrapped initiative founded in June 2026 in Türkiye. We build interactive software in two areas where complex systems are hard to grasp: education and public transportation.
Perinet Learning explores how artificial intelligence, interactive visualization, simulations, and adaptive feedback can make difficult subjects easier to understand. Perinet Mobility brings network analysis and route optimization to public transport planning, starting with the minibus network of Ürgüp, Cappadocia, built on municipal route, stop, and street data.
Questions, feedback, or ideas for collaboration on Perinet Learning or Perinet Mobility? Get in touch directly.