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.

Case for Support Generator · Agent 08 · StewardWise AI | Aubree

Agent 08 · Campaign Intelligence · StewardWise AI

The Most Important Document
in Your Fundraising Year. Built from Data, Not Instinct.

Most organizations write their Case for Support once, from instinct, and recycle it for three years. Case for Support Generator builds it from your live program data every campaign. Problem, evidence, gap, ask, proof, invitation.

There are 23 more Marcuses on the list right now. This is the document that gets them their seat.

Framework: problem, evidence, gap, ask, proof, invitation. Built in sequence.
Tiered asks built in: $5,000, $10,000, $25,000 with specific program impact per level.
Marcus Johnson proof narrative integrated from your actual program outcomes.
Rebuilt from live data every campaign. Not recycled from last year.

6 Framework sections

3 Tiered ask levels

Live data Every campaign rebuilt fresh

Every level Same quality output

Get Started

Your Case for Support Was Written Three Years Ago from Instinct. Your Program Has Changed. Your Case Has Not.

The Case for Support is the foundational fundraising document. Every major gift conversation, every grant application, every campaign appeal draws from it. When it is written from instinct rather than data, built once and recycled indefinitely, it reflects what leadership believed about the mission three years ago rather than what the program is actually producing today.

The problem section describes a need that may have shifted. The evidence section cites statistics from a landscape report that is now outdated. The ask section requests a gift of any amount rather than naming the specific price of a specific outcome. The proof section either does not exist or contains a testimonial from a donor who has since lapsed. None of this is visible because the document is rarely read with fresh eyes by anyone with the authority to rewrite it.

Case for Support Generator builds the document from your current program data and your current donor relationships every campaign cycle. The problem section is updated from your latest program intake numbers. The evidence section draws from current research. The tiered asks are calculated from your actual cost per program outcome. The proof section integrates your most recent impact story matched to the campaign audience. Not recycled. Rebuilt.

Spring 2026 Annual Appeal. $250,000 Goal. Six Sections. Built from Live Data.

Case for Support Generator · Spring 2026 Annual Appeal

StewardWise AI · Agent 08 · Campaign Intelligence

Campaign

Spring 2026 Annual Appeal

Goal

$250,000

Primary Audience

Mid-level donors · $1K to $25K

Program Anchor

STEM Leadership Academy

Six-Section Framework · Problem · Evidence · Gap · Ask · Proof · Invitation

The Problem

1 in 3 students who show early interest in technology never pursue it beyond middle school. Not because they lack ability. Because they lack access. In Baltimore, that number is closer to 1 in 2. The pathway from curiosity to career in technology requires structured instruction, employer mentorship, and an environment where the student is treated as a future professional rather than a charitable recipient.

Opening statement built from current national and local research. Updated this campaign from 2024 data. Previous version cited 2021 figures.

The Evidence

The STEM Leadership Academy has served 189 students since its founding. 84% complete the full program. Of completers, 73% are currently enrolled in or have completed postsecondary education with a declared STEM focus. The program's most recent cohort produced the first student from Baltimore City School District to present at the Maryland STEM Symposium in 11 years.

Evidence section populated from live program database. Q1 2026 data. Not last year's annual report figures.

The Gap

The program currently serves 47 students per quarter. Demand exceeds capacity by 49%. The Spring 2026 waitlist contains 23 students who have been accepted and are waiting for a seat that does not yet exist. At the current funding level, the waitlist will remain unchanged through Q3. Every quarter without funding is a student who does not get the seat.

Gap section built from current waitlist data. Real number. Real students. Real urgency that did not exist in last year's case.

The Ask · Tiered by Outcome

$5,000

Funds one student's complete STEM Academy experience. Instruction, employer mentorship, materials, and program support for a full 14-week cohort.

One Seat

$10,000

Creates two seats. Moves two students from the waitlist into the program in the next cohort. This is the most impactful entry point for new mid-level donors.

Most Impactful

$25,000

Closes the waitlist entirely for one cohort. Every student currently waiting gets a seat. This is the transformational ask for donors with major gift capacity.

Closes Waitlist

Tiered asks calculated from actual cost per participant. Not round numbers chosen for simplicity. $5,000 is the precise program cost per student for the current cohort structure.

The Proof

Marcus Johnson was number 47 on the waitlist. A donor's gift created one more seat. That seat was his. Fourteen weeks later he stood on the Maryland STEM Symposium stage, the first student from his school in 11 years. He is applying to University of Maryland computer science. He had never written a line of code before the STEM Academy. When we told Sarah Chen, the donor whose gift created his seat, she said six words: "This is exactly why I give."

Proof narrative matched to campaign audience from Impact Story Match. 94/100 affinity score for mid-level donor STEM segment. Not a recycled testimonial. The current program's best current proof.

The Invitation

There are 23 students on that waitlist right now. Each one is a Marcus Johnson who has not had someone say yes yet. Your gift of $5,000, $10,000, or $25,000 is not a donation to an organization. It is the moment you say yes to a student who is waiting for exactly that. We hope you will join us in making it possible.

Invitation section closes the case by returning to the donor identity frame established in the problem. The ask is an invitation, not a solicitation.

Written from Instinct Once. Built from Data Every Campaign.

The difference between a Case for Support that was written from instinct three years ago and one that was built from current program data this quarter is the difference between asking donors to fund an idea and asking them to fund a specific waitlist.

Written from Instinct · Three Years Ago

General problem. Outdated evidence. Any amount requested. No current proof.

Young people in our community face significant barriers to accessing technology education. Our STEM Academy addresses this critical need by providing students with the skills they need to succeed. We served over 100 students last year and hope to expand our reach with your support. A gift of any amount makes a difference.

Vague problem. 2021 data. No price for a specific outcome. No current proof. Recycled for a third year.

Generic · Undated · Unconvincing

Built from Live Data · This Campaign

Specific problem. Current evidence. Price per outcome. Current proof.

1 in 2 Baltimore students with early technology interest never pursue it. 23 students are on the STEM Academy waitlist right now. $5,000 funds one seat. Marcus Johnson was number 47 on that waitlist. A donor's gift created his seat. He just presented at the Maryland STEM Symposium.

Specific problem. Q1 2026 data. $5,000 buys one seat. Current proof from this quarter's program outcome.

Specific · Current · Converts

From Recycled Instinct to Live-Data Case

Without Case for Support Generator

Case for Support written once from instinct and recycled for multiple years
Problem section describes a need that may have shifted since it was written
Evidence section cites statistics from an outdated landscape report
Ask section requests a gift of any amount rather than naming a price for an outcome
Proof section contains a recycled testimonial from a donor who has since lapsed
Copywriter spends 3 days writing from a blank document every campaign
Different team members produce dramatically different quality cases from the same mission

With Case for Support Generator

Case rebuilt from live program data for every campaign cycle
Problem section updated from current intake data and current research
Evidence section draws from Q1 2026 program outcomes, not 2021 figures
Tiered asks calculated from actual cost per participant: $5,000, $10,000, $25,000
Proof section matched to campaign audience at 94/100 affinity score from current program
Copywriter receives framework, data, and proof. Three days becomes three hours.
Every team member produces the same quality case from the same foundation

What Does Your Current Case for Support Look Like? When Was It Last Updated?

This rebuilds it from your live program data for every campaign.

There Are 23 More Marcuses on the List Right Now. This Is the Document That Gets Them Their Seat.

Get started and see Case for Support Generator build your Spring 2026 case from live program data in minutes.