ENTERPRISE & HIGHER EDUCATION
Empower Your Researchers, Faculty & Global Students
Provide your entire organization with ethical AI writing support, advanced academic editing, and tamper-proof human authorship verification.
Engineered for Academic Rigor & Enterprise Security
Built from the ground up to satisfy university ethics committees, IT security directors, and research compliance boards.
Centralized Seat & License Management
Easily allocate, reassign, and track seat utilization across university departments, research labs, or writing centers from a unified administrative console.
SAML / SSO & Security Compliance
Seamless enterprise authentication with Okta, Google Workspace, Azure AD, and Shibboleth, backed by SOC 2 compliance and FERPA/GDPR alignment.
Zero Model Training on Research Data
Guaranteed zero-retention data policies ensuring your lab’s unreleased preprints, patent filings, and proprietary data are never used for model training.
Authorship Verification at Scale
Integrate cryptographic Diglot Authorship Certificates with institutional LMS platforms (Canvas, Blackboard, Moodle) to defend academic integrity.
Tailored for Every Academic & Research Setting
Flexible licensing designed to fit departmental budgets, research grant allocations, and campus-wide software agreements.
University Departments & Writing Centers
Give international and ESL students an ethical drafting assistant that develops their language skills without resorting to essay-mill automation.
Scientific Research Labs & Postdocs
Accelerate the publication of high-impact journal papers in Nature, IEEE, Elsevier, and Springer with discipline-specific academic terminology.
Enterprise Technical & Global Teams
Equip global multilingual engineers, analysts, and product managers to communicate with natural fluency across documentation and reports.
Write in your language,
publish in English
Move from rough bilingual drafts to clearer English in one connected writing workflow.
Methods and Data Sources
The study draws on a panel of 42 jurisdictions observed quarterly between 2019 and 2025.
Where a jurisdiction changed its reporting basis, the earlier series is retained and flagged rather than silently rebased. Two cases required manual reconciliation (Meyer, 2019).
Limitations
Quarterly reporting hides within-quarter variance, so short shocks are smoothed. The panel is also unbalanced after 2023, when three jurisdictions stopped publishing.
