Hello Mottli
The app is simple
A digital version of you, serving discovery in one tap.
Agentic-AI
Real-time context-aware recognition and Intelligent Autonomous Optimisation.
User-centric Product
Human-centred and designed to serve the user. Reward driven, data safe transparency.
The tech is invisible
A self-regulating engine under the hood.
Data monetisation & incentivisation
We give users control over their data. They can share it to improve recommendations and earn tokens in return. You control how much or how little you share.
Tokenised rewards and loyalty
The utility of Mottli tokens will provide you with tangible benefits that offer personalised rewards including, custom discounts, VIP experiences, airdrops and more.
The worlds richest POI data pool
Using web 3 rewards incentivising millions of daily users to share rich POI data through Mottli tokens, we’re building the world’s most comprehensive real-world experience data pool.
We monetise your data
Mottli gives users control over their data. They can share it to improve recommendations and earn tokens in return. You control how much or how little you share
Our tech uses a Hybrid Model
Our own machine learning techniques put personalisation at the individual level. A digital version of you.
This develops an advanced recommendation system by dynamically focusing on the most relevant aspects of user behaviour and item attributes, thus improving the accuracy and personalisation of recommendations.
Content-Based Filtering (CBF) is a recommendation technique that makes use of the features of items and the user’s past interactions to recommend new items. As part of the hybrid model, it significantly enhances behaviour-driven recommendations.
Considers factors like location, weather, time of day, and personal routines (e.g., commuting, work, leisure, context relevant behaviours). Provides relevant recommendations at optimal times to boost user engagement.
Employed as a highly effective technique as part of our behaviour-driven model, A critical component in the building blocks towards a sophisticated recommendation engine
The Mottli team have a wealth of experience. Bringing with them experience working with the likes of Spotify, Warner Brothers, Sony, Monzo and Bauer.
