A space for research groups — and every researcher in them — to develop their earliest ideas together, and keep a clear record of how each one took shape.
What you choose to work on shapes everything that follows. This earliest stage in the research process is also where you get the least help.
You never know when inspiration strikes. Ideas might surface in hallway chats, on whiteboards, or in middle-of-the-night voice memos. Even if you record them, ideas are often scattered across half a dozen tools with no structure, and ultimately forgotten.
Decades of research into ideation suggest that the more ideas you generate, the higher your chance of generating a really good idea. Yet, most researchers see ideation as a periodical rather than regular activity.
Without a structured space to map out alternative angles side-by-side, it is tempting to run with the first decent idea that surfaces. You end up burning time and money on a project simply because it was immediate, not because it was the best choice.
The most expensive way to find a weak assumption is in Reviewer 2's comments. Researchers often get feedback on their ideas too late — even a brownbag presentation means you have already decided what to present.
Without an early, honest challenge, you keep pouring time, funding, and your best people into a fragile idea — long after you should have reshaped or dropped it.
Arkhe Science is built to support you during the earliest stage of research — the weeks or months of thinking before you run a study or write a proposal. It gives you and your group one place to do that thinking together. Arkhe Science uses AI to structure your idea and challenge it; the thinking stays yours.
Start with a hunch, a sentence, or a quick voice note. Arkhe Science turns it into a clear, structured idea you can work on — so nothing gets lost.
Arkhe Science parses your idea into three core dimensions: the underlying rationale, your proposed methodology, and your stated uncertainties. Our built-in assistant evaluates each of these and their links, surfacing flaws a smart peer reviewer would catch. Before you invest your time and money.
As your group responds to feedback and refines the design, every iteration is saved as a idea version (v1, v2,...). This preserves the clear evolution of the project, making it obvious how the study was shaped and exactly who contributed which insight.
Open an idea to selected peers or external reviewers for ratings, feedback, or to locate collaborators with the specific methods, expertise, or resources your study requires.
Other tools help you search the literature or store finished work. Arkhe Science covers the step before all of that: deciding what is worth working on in the first place.
The problem you're chasing — and why it matters. What's the question, and what's at stake if it goes unanswered?
How you'd tackle it — the design, data, or method you have in mind, however provisional.
What you don't know yet — the assumptions, risks, and open questions you hope to solve.
Every idea your group is working on, in one place, with its full history. Spot what's promising, steer what's stalling, and put your lab's time and funding behind the strongest ideas — without another meeting.
Capture a rough thought the moment it strikes, stress-test it, and develop it into something great — with a record that shows the thinking was yours.
When an idea calls for a method or skill your group doesn't have, flag it — and connect with researchers who do.
Looking for: someone experienced with field experiments
Now that AI can produce a finished-looking paper in minutes, the record of how a person actually formed an idea matters more than ever. Ownership and confidentiality come first in early-stage research — here is how Arkhe Science handles both.
Your ideas and revisions always remain your intellectual property. Arkhe Science stores them so you can work on them, and time-stamps them so priority is never in question.
Every idea is visible only to the people you choose — yourself, your collaborators, your lab group, or a wider audience.
Everything is hosted in the European Union (Stockholm) under GDPR.
Arkhe's AI features run on a paid LLM tier chosen specifically because it does not train on your data.