InkSight
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Collaborative AI for academic writing
InkSight is a paper-aware AI workspace for PhD students and researchers. It reads the full manuscript, remembers your definitions and claims, and helps you revise with the journal in mind.
The thermal response was measured across three experimental conditions. We define response stability as the variance observed after the calibration phase.
The sample was representative of the general population and the measured effect is expected to scale.
Problem
For non-native English researchers, every submission carries a second workload: fixing tone, structure, terminology, citations, and reviewer expectations across dozens of pages.
Human editing is expensive. Generic AI loses context. Grammar tools correct sentences, but rarely understand whether the argument holds together from abstract to conclusion.
Solution
Turn a long manuscript into a structured review: unsupported claims, inconsistent definitions, missing transitions, and journal-style mismatches.
Ask questions with the full document in context. InkSight answers from your draft, not from a generic writing prompt.
Check IMRAD structure, technical terminology, citation support, and revision notes before the reviewer sees the manuscript.
Demo
The interface keeps writing and reasoning on the same page, with every suggestion tied back to the paper.
Manifest
Write directly in InkSight or import LaTeX, Markdown, PDFs, data notes, and reviewers' feedback. Let the AI know.
Choose discipline, journal target, citation style, language level, and the formal tone your field expects. Build your own playground.
The assistant keeps track of definitions, methods, results, and claims across the whole manuscript. Never lose the track of toughts again.
Export a cleaner draft with a clear list of unresolved risks, suggested changes, and final checks. Make sure your paper is ready.
Team
Co-founder
Milan
Hi! I'm Francesco. I'm a Computer Science
graduate from Milan-Bicocca University. I care
about making AI work with intellectual
ownership.
In love with books about great ideas.
Favorite coffee: cappuccino (but never
after 11 AM)!
Co-founder
Stockholm
Hello! Alessandro here. Computer Science grad at
KTH, I care about democratizing AI tools and
making them useful for people who forge our
knowledge.
Fervent reader with a past as a journalist.
Favorite coffee: double espresso (keeps me
awake)!
Co-founder
Stockholm
Hey, I'm Riccardo. Computer Science grad at KTH,
walking on a tight rope between my thesis and an
internship at Spotify. I care about building
systems people can trust.
I have a soft spot for sci-fi literature.
Favorite coffee: macchiato (with the
tiniest splash of milk)!
Join the team
We are always interested in meeting people who care about research, writing systems, and careful AI product design.
Join the teamRoadmap
15+ insightful conversations with PhD students and researchers to measure revision pain, current spend and willingness to pay for the product.
140+ users willing to try out the product, testing real drafts with structured feedback.
University and lab partnerships focused on doctoral schools, research groups, and measurable writing outcomes.
Closed beta
We are inviting researchers, doctoral students, and labs who want a calmer, more rigorous way to revise academic manuscripts.