Grant Management by NGO Analytics — early access

    Part of NGO Analytics Ops.

    The grantseeker operating system

    Replaces the Sheet + Drive + inbox pile. One system of record: pursue → submit → award → spend/report. Sequential and parallel approvals, redlines, then won-award budgets, allocations, and draws. Not a donor CRM. Not prospecting.

    Discovery and AI writing are add-ons — Instrumentl stays better at discovery.

    Request a demoOpen Grant Management by NGO Analytics

    What ships in v1

    One job: run the grant from pursuit through award without a side spreadsheet.

    Grant pipeline

    Opportunity, deadline and submission in one board — from pursuit through award.

    Approvals + reassignment

    Sequential and parallel approvals, plus reassignment with full history when someone hands off.

    Comments and redlines

    Threaded comments and tracked edits on narrative versions, like Google Docs redlines.

    Fit score and RFP checklist

    Score the fit and run the RFP checklist before anyone starts writing.

    Won-award workspace

    Restricted budgets, allocations (including payroll), disbursement draws, and a compliance calendar.

    Win/loss + team reports

    Reason codes on every decision, plus win rate, cycle time, and $ submitted vs awarded.

    Roles: Writer, Reviewer, Approver, Admin

    Permissions that match how grant teams actually split the work.

    What we are not

    • Not a Bloomerang, Neon, Salesforce, or Apricot replacement — keep your donor CRM.
    • Not a 450,000-funder discovery database.
    • Not a grantmaker / Fluxx-style funder portal.
    • AI writing and funder discovery are add-ons, not the core claim.

    Request a demo

    Tell us how your team works today and we'll shape v1 around it. No spam, unsubscribe anytime.

    Migrating off Foundant GrantHub? Read the migration checklist.

    What we tell funders and boards

    Same terms as the signed DPA and order form. See subprocessors.

    • Customer content is not used to train NGO Analytics or any third-party model.
    • No new AI vendor without updating /subprocessors.
    • Optional LLM only under an API agreement that prohibits training and uses zero data retention where the vendor offers it.
    • Consumer ChatGPT / Claude.ai are not subprocessors.