Platform · AI Grant Writer

A first draft that already sounds like you.

Benavora drafts from your own program facts, past wins and organization profile. You get a real starting point and you stay the editor.

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Your sources

Built from what you already know.

The writer reads your knowledge base: program descriptions, outcomes, staff, history and the narratives that have won before. It then writes to the opportunity in front of it. No generic filler.

Document types

Templates for the real documents.

Letter of inquiry. Impact statement. Full proposal.

Letter of inquiryExample structure

Read Up: a request to the Community Learning Fund

    Required documentsSample data

    The writer checks for the documents the notice requires.

    You stay the editor

    Match section headings to your funder's instructions when you edit.

    No invented figures

    It will not make up your numbers.

    If a draft contains a percentage, dollar figure or count that is not in your records, Benavora replaces it with a marker, [NEEDS INPUT], so you fill in the true number. If your profile is empty, it declines to draft rather than invent an organization.

    Figure is in your records
    Source: 2025 outcomes

    In 2025, 78% of the students we served gained at least one reading level.

    The number stays, because your knowledge base has it.
    Figure is not in your records
    Marked for you

    Demand now exceeds seats: the wait list stands at [NEEDS INPUT] families.

    You type the true number before you approve.
    Profile is empty
    Nothing to draft from
    It declines to draft rather than invent an organization.
    Illustration

    Try it

    See what it used.

    Every draft lists the knowledge-base entries and narratives behind it, so you can check the draft against your own records before you rely on it.

    Sample data
    Knowledge base · Riverbend Learning5 entries
    Program

    Read Up after-school tutoring: four days a week, grades 3 to 5, two campuses.

    Outcome

    2025 year-end: 78% of 140 students gained one or more reading levels.

    Staff

    Program director Ana Ruiz, M.Ed.; 12 trained volunteer tutors.

    Budget

    Program budget, 2027 school year: $96,000. Request: $40,000.

    History

    Founded 2014. City Youth Fund grant in 2024, renewed.

    Impact statement · version 3
    What Read Up changes for students
    Confidence 88

    Read Up gives students in grades 3 to 5 four afternoons of tutoring a week across two campuses.1 In 2025, 78% of the students we served gained at least one reading level.2 The program is led by Ana Ruiz, M.Ed., with 12 trained volunteer tutors.3 Since 2014 we have grown with partners like the City Youth Fund, which renewed its support in 2024.5 We request $40,000 toward the program's $96,000 budget for the 2027 school year.4

    Click any sentence to see which sample entry it came from.
    Sources this draft used

    Illustration with sample data. In Benavora, each draft lists the knowledge-base entries and narratives behind it.

    Grounding, measured

    A confidence score you can trust to mean something.

    The score tells you how well grounded the draft is. It goes down when your knowledge base is thin, when a figure needed your input, or when a required document is missing. It is not a prediction of whether you will win. For that, see Funding Intelligence.

    What the draft hasIllustration
    Grounding confidence
    Confidence gauge 050100 92
    Well grounded

      Illustration of how grounding affects the score. Simplified; not a prediction of whether you will win.

      Version history

      Every version, kept.

      Each regeneration and edit is a new version. Compare two versions side by side and go back to any of them.

      Sample data
      VersionsPick A and B
      Statement of need · compareremovedadded

      Version AA

      Version BB

      Going back adds a new version. Nothing is overwritten.

      Your decision

      Approved by you.

      Drafts move through review and approval. An approved draft can go on to AutoApply. Nothing is submitted without your approval.

      01

      Draft

      Written from your knowledge base, saved as a version.

      02

      Review

      You read it, fill any [NEEDS INPUT] markers and edit.

      03

      Approved or rejected

      A person decides. A draft moves on only once it is approved.

      04

      On to AutoApply

      An approved draft can go on to AutoApply. An owner or admin approves the submission.

      See how AutoApply works

      Questions

      Straight answers about the writer.

      Does it make up facts about our organization?

      It drafts from your records. Figures it cannot find in your records are replaced with a marker for you to fill in. Always read a draft before you approve it.

      What if our knowledge base is out of date?

      The draft will reflect it. Update the entry and generate again.

      Can a draft be submitted without us reading it?

      No. A person approves first.

      Does it write to the funder's section structure?

      It drafts the standard document types and checks for required documents. Match section headings to your funder's instructions when you edit.

      Can we compare versions?

      Yes, every version is saved and comparable.

      Which AI does it use?

      Leading AI models, chosen by Benavora. Your content is never sold; see Privacy.

      Replace the blank page.

      Start your 14-day trialRead a sample draft
      Letter of inquiry · draft 1Sample view

      Riverbend tutors 140 students each school year in after-school sessions four days a week. The wait list stands at [NEEDS INPUT] families.

      4 sources usedAwaiting your review