Scientific writing needs more than a word processor.

Process research, not just words.

  • Build on what you know
  • Analyze and put results to work
  • Move from idea to study

For researchers · Private preview · One email when it opens. Nothing else.

A blank document leaves everything up to you.

Everything you’ve read, written, analyzed, and learned is somewhere. Finding it, remembering it, and bringing it back together falls to you.

An empty document in a word processor, its connections to the surrounding tools all crossed out — a statistical package, a reference manager, files and folders, a database — and below a dividing line the research it cannot reach: papers and references, previous manuscripts, grant submissions, protocols and IRBs, notes, and datasets and results.

Every new document starts blank. Your research doesn’t.

Give your research a voice.

Bring everything behind your research into your writing.

A document being written, with everything behind the research connected into it: citations, writing history and files feeding in from one side, data preparation, analysis, and charts and tables from the other, synthesised into the page itself.

Everything behind your research where you write, working together.

Three things that live outside the document.

Knowledge

A living research memory.

Your papers, citations, notes, and judgments stay available while you work. Ask questions across them and bring what matters into the document.

Papers and citations, notes and annotations, files and documents, and judgments and decisions all feeding a question — what supports using approach X for this population? — whose answer lands as a quoted passage in the document being written.
Previous work

Everything you've written, working for you.

New work can draw from your papers, grants, protocols, and previous thinking.

A grant proposal, protocol, manuscript and lab notes feeding an agent that understands your past work and finds what is relevant, which surfaces in the document as a note that you used this eligibility definition in your protocol and it may be relevant here.
Data

The analysis, not just the file.

Prepare, analyze, and use your results where you write.

Spreadsheets, statistical files and data pulled directly from a Studytrax study move through preparation and analysis — distributions, correlations, survival curves — and land in the document as a quoted finding, a formatted table and a figure.

AI that leverages the work behind your work.

Starts with everything you’ve already built, notes, citations, data, prior writing and helps you create what’s next.

AI models, writing styles, what you are writing, and your requirements and files all feeding an onboarding step that analyzes your inputs, identifies key requirements, organizes what matters, outlines the structure and drafts the first version, producing your first draft.

Move your research forward.

Everything behind your work can help shape what comes next.

Find the next question

Bring together your literature, notes, previous work, findings, and your research environment to identify gaps and decide what's worth pursuing.

Turn an opportunity into a study

Drop in an RFA to connect the requirements with your work to help build the strongest, custom fit proposal.

From words to research

Take your IRB submission or proposed protocol into Studytrax and turn it into a ready-to-run study, complete with forms, data collection schedules, sites, and workflows. The resulting data flows back for analysis, writing, and whatever comes next.

The awedisee research loop: a knowledge base of citations, notes and previous work informs the writing; the writing produces a manuscript to share your findings and, via Studytrax, a new study built and ready to run; that study's data analysis and results feed back into the writing and return to the knowledge base, keeping it current.

Built by people who have spent twenty years inside research data.

awedisee comes from ScienceTrax, the team behind Studytrax — the clinical research platform academic institutions and disease foundations have run their trials and registries on for two decades.

From the team behind Studytrax

years building research software
20+years building research software
of trials & registries run on it
1000sof trials & registries run on it
  • Mayo Clinic
  • Mass General
  • Brigham and Women's Hospital
  • Harvard University
  • Emory University
  • Johns Hopkins University
  • Tufts Medical Center
  • Columbia University
  • University of California, San Diego
  • Boston Children's Hospital

Institutions running Studytrax, the ScienceTrax platform awedisee grows out of. awedisee itself is in private preview.

Your next paper shouldn’t start from scratch.

Bring knowledge, analysis and creation together, and let the work you have already done power what comes next.