--- title: "SumizAI vs Proposia" url: "https://sumizai.com/alternative-to/sumizai-alternative-to-proposia.html" date: "2026-08-14T00:00:00+02:00" modified: "2026-08-14T00:00:00+02:00" description: "Looking for a Proposia alternative? SumizAI and Proposia side by side: price, licence, platforms and what each one actually does." tags: ["ai notes", "sumizai", "proposia", "alternative to Proposia"] --- # SumizAI vs Proposia Looking for a Proposia alternative? SumizAI and Proposia side by side: price, licence, platforms and what each one actually does. ## What Proposia is Proposia is an AI agent built specifically for academic grant proposals. Instead of the generic text a general-purpose language model would produce, Proposia combines the user's prior proposals with a specific funder's call documents, creating drafts that are scientifically grounded and sound like a particular researcher's voice rather than a generic, faceless LLM. The company is based in Spain and operates online, addressing a very specific, narrow niche — the grant-proposal writing process, which in academia is time-consuming and subject to each funder's strict formal requirements. Key features: Analyzing a specific grant competition's call documents lets Proposia understand the exact formal and substantive requirements before it starts generating proposal content. Linking to the user's prior proposals means the generated text preserves a particular researcher's style and voice, instead of sounding like any other text produced by the same AI model. Scientific grounding of the content means claims and arguments in the draft rest on the user's real research record and context, rather than facts generated without a basis. A sole focus on grant proposals, rather than being a general writing assistant, lets the tool specialize in the structure and language typical of this specific academic text genre. Who it's for: Proposia appeals to scientists and researchers regularly applying for grant funding — professors, PhD students running their own projects, and research team leaders preparing applications to science-funding agencies. People who spend dozens of hours reformatting and adapting the same core research idea to different funders' requirements will find a tool here that automates that repetitive part of the process. Junior researchers still learning the conventions of grant-proposal writing can use Proposia as a starting point that already matches a given competition's formal expectations. Use cases: In practice, Proposia works well when preparing a proposal for a new funder whose formal requirements differ from what a researcher is used to — the tool analyzes the competition's documentation and adapts the draft's structure accordingly. A research team submitting several proposals to different agencies in the same period can use Proposia to more quickly generate variants of the same research idea adapted to each specific call. A PhD student preparing their first independent grant proposal gets a draft that follows the genre's conventions, which they can then edit and refine instead of starting from a blank page. Pricing and business model: Proposia runs on a freemium model — core functionality is free, with expanded capabilities available in a paid plan for researchers submitting many proposals a year or needing additional funder-document analysis features. This model lets individual scientists test the tool on one proposal before committing to a paid subscription. Limitations and what to watch for: Proposia generates a proposal draft, but final responsibility for factual accuracy and originality of the content rests with the researcher — an AI tool, even a scientifically grounded one, can make factual errors that need verifying before submission. It's also worth checking a specific funder's policy on using AI tools in proposal preparation, since some science-funding institutions have introduced their own restrictions in this area. AI notes from grant research: Preparing a grant proposal generates a lot of supporting material — literature research notes, argument drafts, project budget variants. Proposia focuses on the final proposal text, so researchers who want to keep such working ai notes from research sessions alongside using the tool often keep them separately, in a dedicated notes app. What's worth checking before choosing: Before relying on Proposia for an important proposal, it's worth testing the tool on a less critical competition first to gauge the quality of the generated drafts, and making sure a specific funder's call documentation is in a format Proposia can analyze. Bottom line: Proposia specializes in one narrow niche — writing grant proposals grounded in a particular researcher's track record. Anyone who wants ai notes from the entire research and preparation process to land in one searchable archive alongside the draft itself should consider an additional notes tool. Preserving an authentic researcher's voice: One common criticism of AI-generated text is its tendency toward uniformity — different authors writing with the help of the same language model often end up with text that sounds surprisingly similar. Proposia tries to counter that effect by analyzing a specific researcher's existing writing record and attempting to reproduce their characteristic style of argumentation, instead of imposing one universal style on every user regardless of field or individual writing habits. Specialization versus generality: Unlike general-purpose writing assistants handling dozens of different text types, Proposia deliberately limits itself to one genre — the grant proposal. That specialization lets the tool understand more deeply the formal conventions typical of this specific document type: the structure of a scientific justification, how budgets are presented, the language used to describe a project's societal impact, elements that differ significantly from typical academic or popular-science writing. Time pressure in the grant cycle: Grant application deadlines are rigid and non-negotiable, which means researchers often work under heavy time pressure in the weeks before a deadline. A tool that shortens the time needed to generate a solid first draft gives a researcher more room for what a machine can't do — deep reflection on the research concept itself, consultation with collaborators, and refining the substantive argument. That shift in priorities — less time on formatting and boilerplate phrasing, more on the quality of the idea itself — is a real added value in an environment where the number of proposals submitted directly translates into available research funding. Comparison with SumizAI: Proposia and SumizAI address different stages of a researcher's work. Proposia generates a finished grant-proposal draft based on prior track record and a competition's requirements. SumizAI turns conversations with an AI model into ai notes — answers worth keeping land as Markdown files in a vault the user owns. A researcher can use both together: Proposia to generate final proposal drafts, and SumizAI to build an archive of ai notes from literature research and brainstorming sessions that precede the actual proposal writing. **Key facts** - Price: Freemium - License: Proprietary - Origin: Spain, EU - Category: AI Writing ## What SumizAI is A note-taking application built around a conversation with an AI model. You ask a question, the answer streams back, and the answers worth keeping become Markdown notes — filed into a vault that is a folder on your own disk. A vault is a directory holding `base.md`, a generated table of contents up to six levels deep, and a `notes/` folder with one `.md` file per note. Before a note is written it is checked against the ones already there, so the fourth note about the same idea gets merged instead of added. Links between notes are ordinary Markdown links to files that exist. The model is never ours: you bring your own API key to one of seven providers — Anthropic, OpenAI, Gemini, Groq, OpenRouter, a local Ollama or your own server — and pay that provider directly. A question sends the table of contents plus at most five relevant notes within a 24,000-character budget, and the app shows you which five it used. ## Where they differ - Both mention AI. The difference is whose key it runs on: SumizAI never resells inference — you connect one of seven providers (Anthropic, OpenAI, Gemini, Groq, OpenRouter, a local Ollama or your own server) with your own API key and pay that provider directly. Check what Proposia does with the model bill before comparing prices. - Proposia is freemium: there is a free tier and a paid one, and the line between them is the thing to read before committing. SumizAI has one plan at a dollar a month, so there is no feature held back for a higher tier — and an unpaid account still opens and exports every vault it already has. - AlternativeTo's description of Proposia does not mention Markdown, so check what format your notes end up in before you fill it up. SumizAI writes standard `.md` files to a folder you picked, and an unpaid account can still export all of them. - Proposia runs in the browser. SumizAI is a desktop and mobile application, and on the desktop the vault is a folder on your own disk rather than a document in someone's cloud. - Both are run from the EU: SumizAI's operator is registered in Poland and the servers are in Germany. Full side-by-side comparison table and pricing: [https://sumizai.com/alternative-to/sumizai-alternative-to-proposia.html](https://sumizai.com/alternative-to/sumizai-alternative-to-proposia.html)