Acquire AI is the funding discovery and grant intelligence suite within Aubree, the Philanthropic Intelligence Platform. It autonomously searches funding databases, scores opportunities by mission alignment using an Intelligent Fit Score algorithm, and surfaces the highest-probability grant prospects for your organization — eliminating the manual, high-friction grant hunt that consumes development staff time with low-yield results.

How does Acquire AI's Intelligent Fit Score work?

Acquire AI uses natural language processing (NLP) to analyze your organization's mission statement, program descriptions, geographic focus, and population served, then matches these against the stated priorities of thousands of foundations and government funding sources. Each opportunity receives an Intelligent Fit Score that ranks alignment — so your team only pursues grants where the probability of success is high.

How does Acquire AI fit into the Philanthropic Intelligence Platform?

Acquire AI is the funding growth layer of Aubree's four-suite Philanthropic Intelligence Platform. It works in direct partnership with StewardWise AI — insights about which programs are resonating most with current donors inform the funding searches Acquire AI runs, creating a synergistic growth loop between donor retention and new funding acquisition.

How is Acquire AI different from grant databases nonprofits already use?

Traditional grant databases require a development director to manually search, read, and evaluate each opportunity. Acquire AI inverts this: instead of your staff hunting through hundreds of listings, an autonomous AI engine continuously monitors funding landscapes and proactively delivers ranked, mission-matched opportunities directly to your team — turning a reactive research process into a predictive intelligence function.

What types of funding does Acquire AI discover?

Acquire AI searches across foundation grants, corporate philanthropy programs, government funding sources, and community foundation opportunities. It continuously monitors for new funding announcements and deadline alerts, ensuring your organization never misses a high-fit opportunity due to limited research bandwidth.

What results can nonprofits expect from Acquire AI?

Organizations using Acquire AI typically see a significant reduction in time spent on grant prospecting, an increase in application quality due to better mission alignment, and access to funding opportunities they would not have discovered through manual research. The platform is designed to function as a full-time grant research analyst operating 24/7.

Is Acquire AI available in a bundle?

Yes. Acquire AI is the core of the Revenue Optimizer bundle, paired with StewardWise AI to create a complete retention-plus-acquisition growth engine. It is also included in the full Aubree Philanthropic Intelligence Platform.

A Point of View from Aubree

AI and Grant Writing: The Distinction That Actually Matters

Funders are not scanning your LOI for em dashes.

The concern circulating in the nonprofit sector right now, that AI use in grant applications creates risk with funders, deserves an honest examination rather than a reflexive response. Because the distinction that actually matters is not whether AI was involved in the process. It is whether human judgment was replaced or amplified.

Those are not the same thing.

The question is not whether AI was in the room. It is whether human judgment was in the application.

With Aubree, it always is.

What Funders Are Actually Concerned About

A handful of foundations have added AI disclosure language to their RFPs in the past 18 months. The Gates Foundation. A few regional community foundations. The concern underlying that language is legitimate: they do not want to fund organizations whose grant applications are generated by a machine and submitted without substantive human engagement with the funder's priorities, the program's specifics, or the relationship between the two.

That is a reasonable thing to screen for.

It is also not what Aubree does.

The Distinction That Matters

There are two ways AI can interact with a grant application.

Replaces Human Judgment

Machine Generated

The development director enters a funder's name and submits whatever the tool produces. No review. No refinement. No professional engagement with the content. The application arrives sounding like every other application the tool has produced for every other organization that entered the same funder's name.

Amplifies Human Judgment

AI Informed

The AI reads the funder's CSR report, identifies their priority language, maps the organization's mission to their stated interests, calibrates the ask to their historical giving range, and produces a first draft in two minutes. The grant writer reviews, refines, and owns the final document.

That is research infrastructure. The same way a foundation database subscription is research infrastructure. The same way a past applications file is research infrastructure. The grant writer is not replaced. She is working faster with better information.

Ask a grant writer what it feels like to use research infrastructure rather than starting from scratch. The answer is not relief at having less work to do. It is relief at having more time for the work that actually requires her. The three hours she used to spend reading CSR reports are now spent on the relationship context the funder will feel in every paragraph. The craft did not disappear. It expanded into the space the infrastructure created.

On AI Detection

No reliable AI detection tool exists for grant applications.

GPTZero, Turnitin, and similar products were built for academic contexts and produce false positives on human writing at rates that make them unusable as screening mechanisms for grant review. A program officer reading a well crafted LOI that reflects the funder's own priority language back to them is reading good grant writing. The precision of the alignment is the point. It is not a signal of machine authorship. It is a signal of professional preparation.

The sector anxiety about AI detection is ahead of the actual detection capability by years. What funders can detect, and what they are actually looking for, is the absence of genuine engagement with their priorities. Generic applications. Misaligned asks. Language that does not reflect the funder's own framing.

Aubree produces the opposite of that.

The Before and After

Without Aubree

Research consumes the first three hours

3 hours researching priority language, giving history, and peer applications
First draft begins at hour 4
Strategy squeezed into whatever time remains

With Aubree

Professional judgment returns to center stage

Research complete in 4 minutes
First draft in 6
3 hours spent on strategy, nuance, and relationship context

Same grant writer. Same funder. Same proposal. Different infrastructure.

That is not AI replacing professional judgment. That is infrastructure returning professional judgment to the work it was trained to do.

A Word on AI Slop

The Legitimate Concern

What AI Slop Actually Looks Like

Nonprofit communicators know what AI Slop looks like. They have been receiving it in their inboxes for two years. The generic donor appeal that could have been written for any organization in any sector. The newsletter that sounds like it was generated by a tool that has never met a real program participant. The grant application that reflects the funder's name at the top and nobody's mission anywhere in the body.

That is AI Slop. It is the legitimate concern underneath the funder screening anxiety. And it is the opposite of what Aubree produces.

AI Slop happens when the tool replaces the professional. When the output goes from generation to submission without a human being in the room. When the organization's voice, the funder's relationship, and the program's specificity are all absent because the person who knows those things was not involved.

Aubree cannot produce AI Slop because the grant writer is always in the room. The tool handles the research infrastructure. The professional handles everything that requires knowing the organization, the funder, and the relationship between them. The output is her work, informed by better research than she had time to do alone.

The nonprofit sector has spent two years developing a finely calibrated instinct for AI Slop. That instinct is an asset. It belongs in the editorial review of every AI assisted output. What it is not is a reason to refuse the infrastructure that makes the professional's judgment go further.

What We Believe

The nonprofit sector has been under resourced relative to the fundraising demands placed on it for decades. The development director managing 12 active grant relationships while prospecting for 6 more is not failing because she lacks skill or commitment. She is failing because the research phase of grant writing consumes 60 percent of her available time before she writes a single word.

That is not a talent problem. It is an infrastructure problem.

The blank page problem is gone. The grant writer is not.

Aubree was built to solve the infrastructure problem without removing the professional judgment that makes grant writing effective.

The Point of View

Organizations using Aubree are not submitting AI generated grant applications. They are submitting grant applications informed by more thorough funder research than their staff capacity would otherwise allow, written and owned by the development professionals who know the funder relationship, the program model, and the organization's voice.

If a funder asks whether AI was used in the application process, the honest answer is: yes, the research phase was accelerated by an AI platform. The application was written, refined, and submitted by our development team.

A note on disclosure norms

Disclosure norms around AI in grant applications are still forming across the sector. Organizations should follow their own funder relationship guidance and consult directly with program officers where the relationship allows. What we can say with confidence is that the distinction between AI that replaces judgment and AI that accelerates research is the right frame — and one the sector is moving toward regardless of where individual funder policies land today.

That is the same answer an organization would give if asked whether they used a foundation database to research the funder. Or whether they reviewed a peer organization's successful application for framing guidance. Or whether they used a grammar tool to refine the final draft.

Tools have always been part of professional grant writing. Aubree is a more powerful tool.

The distinction that matters is not whether AI was in the room. It is whether human judgment was in the application. With Aubree it always is.

Aubree is the Philanthropic Intelligence Platform built for nonprofits. Not adapted for them.

Human Judgment. Better Research. The Same Grant Writer.

See how Acquire AI amplifies professional judgment without replacing it.

Explore Acquire AI →

AI and Grant Writing: The Distinction That Actually Matters

AI and Grant Writing: The Distinction That Actually Matters

What Funders Are Actually Concerned About

The Distinction That Matters

On AI Detection

The Before and After

A Word on AI Slop

What We Believe

The Point of View

Human Judgment. Better Research. The Same Grant Writer.

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