Press Kit

Gratefully - Press & Partnership Kit

Everything you need to write about, list, or partner with Gratefully.

Press inquiries: hello@gratefully.io|Founder: Muddsar

In one sentence

"Gratefully is an AI knowledge graph platform for nonprofit development teams that makes every donor relationship, staff note, and piece of institutional memory permanently queryable - with every answer cited to its source."
  • -The institutional memory layer your CRM was never designed to be.
  • -When your development director leaves, Gratefully ensures the relationships don't leave with them.
  • -Your CRM remembers every gift. Gratefully remembers every relationship.

Product descriptions

Three lengths, ready to paste into directory submissions, partnership forms, and press write-ups.

25-word description

Gratefully is a nonprofit AI platform that unifies CRM data and institutional knowledge into a queryable knowledge graph - with every answer cited to its source.

75-word description

Gratefully is an AI knowledge graph platform built for nonprofit development teams. It connects to existing CRMs (Salesforce, Bloomerang) and ingests unstructured institutional content - staff notes, emails, handover documents, board minutes - into a single queryable system. Staff ask questions in plain English. Every answer is cited to the specific record it came from. Donor data never trains shared AI models. When a development director leaves, the relationship context stays.

Product description

Gratefully is an AI donor intelligence layer for nonprofit fundraising teams. It works on top of the CRM an organization already runs, with live connectors for Salesforce for Nonprofits, Bloomerang and Little Green Light, plus compliance-aware CSV import and document upload. Everything becomes one organizational knowledge graph. Grace, the AI assistant, answers questions from it with every figure cited to a source record. The Action Center runs a nightly portfolio review surfacing lapse risk, stewardship moments and hidden revenue. Donors are auto-classified into living segments that refresh nightly. Board-ready reports export to PDF, and handover dossiers keep institutional memory with the organization when staff leave. There is a free plan at $0 with no record limits, and every new account starts on a 14-day trial of the Advanced plan.

The problem Gratefully was built to solve

Nonprofit development teams suffer from a structural form of organizational forgetting. The sector usually frames this as a turnover crisis, and the widely repeated figure of a 16 month average tenure does not hold up: research from the Lilly Family School of Philanthropy at Indiana University, surveying 1,663 US fundraisers, found a mean current job tenure of 3.6 years with a median of 2 years. The problem is not how often people leave. It is that when they do, what they knew leaves with them. What transfers is a giving history and a few notes, while the reasoning behind a twenty year relationship is lost. Separately, the Social Impact Staff Retention Report 2026, surveying 412 social sector staff in autumn 2025, found 71% are looking or will be looking for a new job, so the churn pressure is real even where tenure is longer than the sector assumes.

The downstream impact shows up in retention. The sector now reports a 54% annual donor lapse rate (Fundraising Effectiveness Project 2024), and acquiring a new donor costs roughly seven times more than retaining an existing one (Neon One 2025). The economics of fundraising hinge on continuity - and continuity is exactly what staff turnover destroys.

CRMs were not designed to fix this. They are excellent transactional systems of record for gifts, contacts, and campaigns, but they do not capture or query the unstructured layer where institutional memory actually lives - the staff notes, the email threads, the handover documents, the board minutes. Gratefully is built specifically to be the institutional memory layer that sits alongside the CRM, ingesting both structured and unstructured content into a single queryable knowledge graph with source-cited answers.

What makes Gratefully different

  1. 1.

    Unstructured data ingestion

    Ingests staff notes, emails, and documents alongside CRM records.

  2. 2.

    Source-cited answers

    Every answer traces to the specific record it came from.

  3. 3.

    Data isolation

    Donor data never trains shared AI models - architectural, not policy.

  4. 4.

    Institutional memory

    Knowledge compounds permanently; survives staff turnover.

  5. 5.

    CRM-agnostic

    Works on top of Salesforce, Bloomerang, and others; no migration required.

  6. 6.

    PII redaction

    Donor content sanitized for public use in one action.

Free trial

Gratefully is available now with a 14-day free trial for US nonprofit organizations. No credit card required.

Get Started →

Boilerplate for press use

Gratefully (gratefully.io) is an AI knowledge graph platform built for nonprofit development teams. It unifies structured CRM data and unstructured institutional knowledge - staff notes, emails, handover documents - into a single queryable system, with every answer cited to its source. Gratefully ensures that when a development director leaves, the donor relationship context stays. Donor data processed through Gratefully never trains shared AI models. For inquiries: hello@gratefully.io.

For interviews, additional assets, or partnership inquiries, contact hello@gratefully.io.