Let's create a sustainable, transparent, decentralized & rewarding ecosystem for creation & use of AI materials.


Sustainability in the global sense is at the heart of Lay3rs’ approach. Our approach aims to create an ecosystem of AI solutions which, thanks to its modularity, is less energy-intensive, thanks to its ability to use decentralized databases, is less data-intensive, and thanks to traceability and our value trickle-down solutions, is capable of economically perpetuating the action of each stakeholder. 


Thanks to its blockchain solutions, Lay3rs aims to break out of the AI black box effect by enabling the clear and transparent attribution of each AI Material thus creating an ecosystem asurrant of fair compensation for all contributors to the AI value chain. By using decentralized technologies to provide a traceable and equitable distribution of the value generated, AI will be able to move towards true transparency for all links in the creation chain.


It is by crossing the most advanced blockchain and AI technologies that Lay3rs positions itself as a pioneer of decentralized AI to ensure that every contributor to the AI value chain, including data providers, algorithm developers and researchers, is recognized and fairly compensated. Its governance framework also enables token holders to actively participate in decision-making, reinforcing decentralization and autonomous governance.


Lay3rs ensures fair and transparent remuneration for all AI value chain contributors by using blockchain technology to track and distribute rewards. This system encourages ongoing participation and fosters a dynamic, sustainable ecosystem where contributions are recognized and valued. Smart contracts automate revenue distribution from AI materials, ensuring each stakeholder receives their fair share of economic value.

Our technologies

Token-Based Collaborative Projects

LAY token holders can initiate and manage collective projects, using AI to create diverse and data-rich materials, unlocking a world of new opportunities.

AI Materials Exchange

Lay3rs connects data and code providers with projects needing specific AI materials, ensuring transparent and fair compensation through LAY tokens.

AI Fine-Tuning

Lay3rs offers customized AI models that make data immediately actionable for industries like filmmaking, gaming, and advertising, using advanced 3D modeling techniques.

3D GenAI Model

Lay3rs develops a set of cutting-edge AI algorithms (NeRF, 3DGS, etc.) to generate, edit and export high-quality 3D models for use in the digital creative industries.Using and exporting AI

Licensing & Monetization

Lay3rs provides a Web3 licensing service based on the ERC-1155 standard, enabling the monetization of AI model outputs and ensuring fair revenue distribution among all contributors.

Decentralized Governance

Lay3rs introduces a democratic voting system where every LAY token holder can participate in project decisions, reinforcing the principles of decentralization and autonomous governance.

First use cases

A platform for creating AI-powered digital twins of Historical Real World Assets (RWA).

In order to develop and improve our model and technology, we set up strategic partnerships enabling us to develop our first use cases. The first is a platform dedicated to the creation of digital twins of the world’s most beautiful monuments. Currently available in testnet with our PLAY token, it enables people to collectively contribute and participate in the aggregation of heterogeneous data into AI-generated 3D digital twins.

Discover Build3rs!

Why should I care?

Get involved and become an actor into the preservation of monuments, natural sites, flora, fauna, know-how and fictional environments.

How can I get involved?

Join a digital twin project by contributing to its creation or evolution and become its curator. Decide on its developments and be rewarded for your contribution.

They support Build3rs

Digital twin

Digital twin : A set of data relating to a subject to be preserved, aggregated by AI into a 3D scene (an expert model). This is a dynamic set (evolving over time) of heterogeneous content (images, archives, reference 3D models, exports, acoustic map, semantic slicing, etc.) assembled in such a way as to be interpreted and used by other AIs, and to enable the generation of exports.

Export : A selection of data (e.g. a 3D model) optimized for a specific use (AR / VR / Unity / Unreal / Voxel, etc.). These exports can concern the entire subject or a specific part of it (work of art, architectural element, texture, etc.) and can be distributed on our platform and on various asset stores.

  • To equip researchers and architects in their preservation and renovation missions.
  • To visit a monument remotly or beyond the limits of time.
  • To serve as virtual studio sets or special effects for the creation of films, TV programs, advertisements or virtual events.
  • To anchor video games environment or metaverse in a specific context.
  • To create material reproductions (e.g. a 3D printing) of a subject or parts of it.
  • To support new forms of digital and immersive art.
  • To support all services located indoors or outdoors (with or without GPS signal).
  • To be embedded in a third party Gen AI to be use to generate results (text, images, videos, etc.)

And the best use cases have yet to be invented…

Enhanced archive

To keep a rich record of what is valuable and fragile by aggregating a large smart set of data on a specific heritage element.


Augmented mediation

To give the public a richer, more diversified, more personalized and more sustainable access to knowledge on a subject.


Economic model

To create a virtuous economic model specific to the twin, allowing to finance the preservation of the real heritage.


Support creation

To provide operational means for creators to reinterpret reality and history in new creative environments (VR, AR, Virtual Studios, metavers, etc.).


Emerging innovation

To propose a bottom-up innovation model to heritage institutions that creates a bridge between creators and them.

New environments of creation (XR) represent huge opportunities to invent new ways of promoting and broadcasting culture BUT production of a digital twin remains a very manual work process, very long, expensive, not very resilient (one capture for one output) and only based on visual perception.

In 2021, the European Union asked its member states to create 16 million digital twins of monuments by 2030. How to make this recommendation realistic without impoverishing it ? Lay3rs collaborates with research laboratories (CEA, ULB, Ecole Polytechnique) to develop new solutions to make this process more intelligent and able to fully exploit all existing data.

The use of AI to aggregate existing data and extrapolate missing data radically changes the way digital twins are produced. Where previously it was necessary to make in-situ captures for each new model, it is now possible to aggregate all types of data into a single 3D scene, recycle all existing data and generate the missing data, all for a realistic result. In the Build3rs case, we use computer vision (SLAM) and artificial intelligence (NeRF & Gaussian Splatting) algorithms.

In addition to their use for the renovation or scientific study of a subject, when contributors invest in the creation of a twin, in the acquisition of new data, part of these funds are donated to the institution in charge of preserving the real subject. In time, the portion allocated to them by the DAO from the sale of licenses to exploit the exports will constitute a new channel of regular income for the latter.

What's next?

We are planning the development of several platforms dedicated to specific types of heritage and their specific user communities. Thus, it becomes possible to continuously expand the use cases of the LAY currency, to contribute to the preservation of an increasing variety of heritage subjects and to respond more specifically to technical specificities linked to intrinsic characteristics of subjects.


Digital twins of fictional fragmented environments to generate global thematic environments


Most emblematic sports sites and events giving them a new posterity.​


Places, Minerals, Flora and Fauna including the most beautiful natural sites and their components to procedurally generate evolving environments. 


Gestures and know-how to create digital beings capable of interacting and modifying their virtual environment.​

LAY token


What is LAY?

LAY is an utility ERC-20 token for all services and platforms offered by LAY3RS. While the token will be available to the public Q1 2024, a tesnet called PLAY (Prototype du LAY) is already available on the Build3rs.io platform.


Total supply : 1 000 000 000 LAY

Technology : Polygon

By assigning to each set of raw data (ERC-721) and to each export (ERC-1155), it becomes possible to manage complex rights structures and to pay fairly (over the entire value chain) and transparently for the various revenues generated by the distribution of exports.

Other tokens

LAY3RS supporting Partners


Initial partnership with CEA List
July 21
Winner of the Future Investment Plan - France 2030
September 22

Matrice (Social & Technological Institute) presents the project to create an ad-hoc structure to develop Lay3rs services.

Company creation
November 22
Build3rs Alpha Launching
July 23
Build3rs Public Launching
September 23
PLAY (Prototype of LAY) Tesnet Launching
September 23
DAO Features
October 23
Assets Marketplace features
December 23
Automation of export creation from API (to include in SDK)
January 24
Smart contract audit validated
February 24
Data Hunting Features
March 24
Launch of digital twin incubation program
March 24
LAY Token Generation Event
April 24
On-ramp integrated in app
May 24
Second internal use case (Announced soon)
July 24
Implementation of ERC-1137 standard to pay in LAY through subscriptions
July 24
Framework to retrieve data from 3rd parties, and qualify to its Lay3rs datasets
September 24
Integration of smart wallets feature
August 24
Digital twins library Desktop tool
October 24
SDK distribution using API key payable in FIAT
October 24
SDK distribution using API key payable in LAY
December 24
SaaS service payable in LAY that generates exports based on AI trained on datasets
January 25


Yann Toullec


Sébastien Malcotti


Benjamin Jornet


Xavier Aubert


AJ Dinger

Head of Business Development

Mateusz Baranowski

Lead community manager

Rebecca Cervasio

AI Researcher 

Victoriya Kashtanova

AI Researcher

Sébastien Casaert

Head of Product

Zhong Qiang

Commercial manager


Community manager

Mathieu Da Silva


François-Xavier Petit

Public Partnership Advisor

Emmanuel Ea

Development Advisor

Adrien Basdevant

Web3 Legal Advisor