▪Editorial Services
From
Raw manuscript
To
Edited, structured content
From raw manuscript to clean, structured, ready-to-typeset content.
Our Sectors
Peer-review workflows, strict metadata, and accessible output, with no exceptions.
Overview
Academic titles carry the most stringent quality bar in publishing: MathML equations, complex tables, citation integrity, structured metadata for indexing, and strict accessibility compliance. Errors in any of these areas have real consequences, from retraction notices to rejected submissions. We are built for the precision this work demands, and we hold the schedule while we do it.
Market context
The challenges
Process
Editorial
Typesetting
Digital
Relevant services
From
Raw manuscript
To
Edited, structured content
From raw manuscript to clean, structured, ready-to-typeset content.
From
Edited manuscript
To
Print-ready pages
Reliable, scalable production for any volume of titles.
From
Typeset or structured content
To
Accessible ePub3 · XML · PDF · ONIX
Accessible, structured digital output from a single source.
Case studies
| Challenge | How Crius Group addresses it |
|---|---|
| MathML and complex equations | Validated typesetting with source-manuscript cross-check before delivery |
| ONIX metadata for discovery databases | ONIX generation and submission preparation as standard output |
| Per-title cost at low volumes | Template-driven typesetting reduces setup cost for series and monographs |
| Accessible ePub3 for EAA and open access | EAA-compliant ePub3 produced by default in every workflow |
| Print-on-demand readiness | Print-ready PDFs sized and prepared for POD suppliers |
| Late revisions holding schedules | Structured source files mean revisions are applied once and all formats update |
ONIX (Online Information eXchange) is the standard data format publishers use to send product information (title, author, ISBN, description, subject codes, pricing, availability) to retailers, libraries, and discovery databases. For academic titles, accurate ONIX is essential for visibility in library systems, academic aggregators, and databases like JSTOR, Project MUSE, or EBSCO. Errors in ONIX lead to missing or incorrect records that reduce discoverability.
MathML is an XML-based markup language for representing mathematical notation in digital documents. Unlike an image of an equation, MathML is machine-readable: screen readers can announce it, search engines can index it, and ePub3 readers can render it correctly. For academic publishers producing accessible ebooks, MathML is the required format for any mathematical content.
Yes. We typeset MathML equations, complex tables, footnotes, and structured academic content. Each equation and table is validated against the source manuscript before delivery. We also produce accessible ePub3 with full ONIX metadata for indexing and discovery.
Template-driven typesetting is the main lever. When a publisher has a defined series style, we apply it automatically rather than designing each title from scratch. This significantly reduces the per-title setup cost that makes academic monograph production expensive at small volumes.
Yes. Open-access mandates typically require a freely available, discoverable digital file with accurate metadata and documented accessibility. Our ePub3 output includes ONIX metadata, DOI-ready identifiers, and EAA-compliant accessibility, covering the main technical requirements of common funder mandates.
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