Introducing Elementus
A universal language for blockchains

The Problem

Blockchains are not designed with human readability in mind

Blockchains are optimized for security, speed, and scalability, not for data retrieval and consumption. As a result, the ecosystem lacks transparency.

  • Few sources of reliable market data exist for surfacing macro trends and valuing digital assets.
  • Security risks, such as code vulnerabilities and fraudulent activity, remain difficult to identify.
  • Responses to security breaches are slow and insufficient.
The Solution

The Elementus protocol is the universal language of blockchains

At the core of our technology is the Elementus semantic inference engine, a universal blockchain translator.

It is an expert system that extracts blockchain state transitions in real time, applies a set of logical rules to infer their meaning, and stores the output according to a simplified and standardized ontology that accommodates transactions from any blockchain.

Elementus unites the world's blockchain transactions into one standardized and easy-to-access database, consumable by humans and applications alike.

Application Layer Elementus Protocol Layer Blockchain Protocol Layer elementus-layerApplication LayerElementus Protocol LayerBlockchain Protocol Layer
Elementus-Powered Applications

Introducing the era of data-driven crypto finance

Use Elementus data feeds to build applications for network-driven investing strategies, real-time hack or fraud monitoring, scalable data analysis, and much more.

  • Monitoring fund flow, ongoing token sales, or individual addresses becomes easy for analysts or regulators.
  • Spot security breaches or illicit behavior instantly, triggering a cascade of automated functions (e.g. notifications, emergency network precautions).
  • Sophisticated trading strategies based on network activity, blockchain transactions, or node “following” become trivial and automatable for investors.
Elementus apps

Max Galka

Information design, data science

Slava Kaushan

Media, business development

Thomas Jay Rush

Computer science, information systems

Chris York

Behaviorial psychology, UI/UX

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