> For the complete documentation index, see [llms.txt](https://aerariumchain.gitbook.io/aerariumchain-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aerariumchain.gitbook.io/aerariumchain-docs/aerariumchain-aec/ecosystem/competitors.md). # Competitors There are several competitors currently focused on one of the technologies that we use (3D scan, blockchain, AI). Some systems such are focusing on the registration in blockchain of a high-definition 2D image of the asset: from a technological point of view AEC has a large competitive advantage based on the fact that it operates on 3D - which adds a metric identification of the physical micro-characteristics (difficult to reproduce) that 2D images cannot collect - and that it natively adopts AI algorithms, to operate on a large scale. Working on the analysis of 3D images today requires a set of technical skills and algorithms not easily available on the market, which AerariumChain has equipped itself with and continues to do so, with a focus on this area of application. Several companies are developing blockchain in the art world and in this case too we are the only actor who applies different technologies capable of making information unique and reliable

	AerariumChain	Verisart	VR-ALL-ART	4ART TECH	CODEX Protocol
Logo
Total Funding	€400k (2021)	€500k (2018)	€2M (2018)	N.D.	€5M (2018)
3D	✅	✅	❌	❌	❌
High resolution 3D	✅	❌	❌	❌	❌
AI	✅	❌	❌	❌	✅
BlockChain	✅	✅	✅	✅	✅
Artworks Monitoring	✅	❌	❌	❔	❌
NFT	✅	✅	✅	✅	✅
VR	✅	❌	✅	✅	❔
Metaverse	✅	❌	❔	✅	❌

Table 1. List of European competitors active in the art and cultural heritage sector --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://aerariumchain.gitbook.io/aerariumchain-docs/aerariumchain-aec/ecosystem/competitors.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.