The open-access platform decentralizing scientific publishing with blockchain and AI.
Orvium is a decentralized platform designed to manage the entire lifecycle of scholarly publications and research data. By leveraging a microservices architecture and blockchain technology, Orvium ensures immutable timestamps for submissions and transparent peer review processes. In 2026, it occupies a critical niche in the Open Science movement, providing institutions and researchers with an alternative to traditional paywalled journals. The technical stack facilitates automated metadata extraction through AI, seamless DOI (Digital Object Identifier) minting via Crossref, and integration with ORCID for author verification. Its infrastructure is built for high availability and scalability, supporting massive datasets and various file formats beyond traditional PDFs, including interactive notebooks and raw data sets. Orvium’s market position is bolstered by its 'Community' model, which allows niche research groups to launch independent, white-labeled journals with sophisticated governance tools. By streamlining the editorial workflow with AI-driven reviewer matching and plagiarism detection, Orvium reduces the administrative burden on researchers while increasing the velocity of scientific discovery and dissemination.
Uses blockchain hashing to create an immutable record of the manuscript at the time of submission to prevent intellectual property theft.
AI-powered research intelligence and collaborative reference management for the global scientific community.
The universal standard for persistent researcher identification and scholarly interoperability.
Accelerating scientific discovery through open, versioned, and DOI-indexed scholarly dissemination.
The open-source repository and collaboration hub for the entire research lifecycle.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Natural Language Processing (NLP) analyzes the manuscript content to match it with the publication history of potential reviewers.
Supports a transparent review lifecycle where reviewer comments and author responses are published alongside the paper.
Automated extraction of JATS XML and JSON metadata from unstructured documents using machine learning models.
Git-like versioning for academic papers, allowing users to track changes across multiple revision cycles.
API-driven synchronization with DSpace, EPrints, and other institutional repository software.
Set of administrative tools for managing editorial boards, reviewer pools, and publication rules within a specific community.
Traditional journal software is expensive and difficult to configure for small research societies.
Registry Updated:2/7/2026
Manage peer reviews via the automated dashboard.
Universities struggle to keep an up-to-date record of faculty publications.
Managing hundreds of abstracts and paper submissions for annual conferences.