Our products
Two products. One engine.
Writence builds two writing products on a shared backend: Diglot for bilingual writers, Copyeditor for academic writers. Both keep the writer in control, and both produce a verifiable record of the writing process.
Expressing Complex Concepts Without Losing Authorial Nuance
Writing in a second language need not come at the cost of analytical depth. Inline translation, contextual synonyms, and continuous diff-tracking preserve the writer’s own voice throughout revision.
Every revision is signed locally with minimal latency, producing a tamper-evident timeline of the writer’s process.
TWO INTERFACES
Pick the workspace that fits you
The same engine underneath, with an interface suited to who is writing, and why.
Diglot .ai
For non-native English writers
A bilingual writing workspace. Writers draft in a first language, refine into clear English, and build vocabulary through the process, without losing their own voice.
- Inline translation and word-mode learning
- Grammar and paraphrasing tuned for ESL
- Authorship Certificate built in
Copyeditor .app
For academic writers
An academic workspace combining structured drafting, citation management, reference tracking, and originality checks in a single environment.
- Citations and reference manager sync
- Plagiarism and AI-detection awareness
- Export to DOCX, PDF, and LaTeX
WHY ONE ENGINE
One engine, two interfaces
Both products are built on shared foundations, so improvements apply to each, and the Authorship Record functions identically across both.
One Cowriter agent
The same assistant orchestrates writing tools across both products — drafting, citing, paraphrasing — always through diff-overlays the writer approves.
One authorship layer
Both products write to the same cryptographically signed event chain, so a Certificate from either looks and verifies the same way.
One privacy stance
User writing is not used to train models, consent is required throughout, and the same data rights apply regardless of which product a writer uses.
For universities
Deploying for a whole institution?
Domain-wide rollout, LMS integration, per-assignment AI governance, and a Certificate verification API — built for departments, not just individual writers.
Two products.
One mission.
Learn how each product works, or read the research that shaped both.
Evaluating Perplexity Bias in Academic Detection
Quantitative assessments demonstrate that standardized models consistently mistake concise, rule-based second-language phrasing for synthetic generation.
The protocol generates a cryptographic signature confirming the record’s integrity, without exposing unpublished findings.