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.

Sarah Chen's Loyalty Just Found You Three New Funders. Here Is How.

Sarah Chen has been giving to your STEM education program for three years. Tech executive. MIT alumna. Consistent $2,500 annual gift. High email engagement. Spring event attendee every year. Her engagement score is 84 out of 100. She is, by every retention metric, exactly the kind of supporter your development operation works to cultivate.

Last month, she found you three new funders.

She did not make any introductions. She did not write any letters of recommendation. She did not sit on any foundation boards or leverage any corporate connections on your behalf.

Her donor profile did the work. The intelligence layer that connects StewardWise AI to Acquire AI used what it knew about Sarah to search for foundations that fund the kind of work that produces donors like her.

Sarah Chen

STEM Education Program Donor

Engagement Score: 84/100

Annual Gift

$2,500

Profession

Technology Executive

Alumni Network

MIT

Program Focus

STEM Workforce Development

Engagement Pattern

High Email Open Rate

Event Attendance

Spring Event, Annual

How the Intelligence Loop Works

StewardWise AI knows Sarah's professional background, her MIT affiliation, her program focus, her engagement patterns, and her giving trajectory. It has been building this profile for three years through every interaction she has had with your organization.

Acquire AI's Grant Opportunity Scanner incorporates that profile as a search parameter. The logic is direct: if a tech executive with an MIT background and a passion for STEM workforce development finds your work compelling enough to give consistently, the foundations that fund STEM workforce development in the tech and higher education sector should find your work compelling too.

StewardWise AI

Builds Sarah's donor profile from three years of engagement data, giving history, and program resonance.

Acquire AI

Uses her profile as a search parameter to find funders aligned with the work that produces donors like her.

OUT

Three Funders

Surfaces matches with deadlines, match scores, and warm introduction paths the team never had before.

The scanner searched that intersection. STEM focus. MIT ecosystem connections. Technology sector funders. Workforce development outcomes at the university partnership level.

It found three foundations that had not appeared in any standard keyword search of your mission area.

The Three Funders Sarah's Loyalty Found

MIT Alumni Family Foundation

47 Day Deadline Immediate

A family foundation established by MIT alumni that funds STEM workforce programs with a focus on diversity and access. They had funded three organizations in the prior cycle with program models similar to yours. The LOI Drafter generated a draft calibrated to their specific language and grant history, with Sarah's story as the narrative anchor.

Regional Technology Company Foundation

94/100 Match 90 Day Target

A technology company foundation with a STEM education mandate that had recently expanded its geographic funding area to include your region. No prior relationship. The warm introduction was strong enough to open a conversation, and the program officer was actively looking for aligned organizations in the newly eligible area.

Individual Major Donor, MIT PhD

Six Figure Pattern 6 Month Play

An individual major donor with an MIT PhD, a background in technology investment, and a pattern of six figure gifts to STEM education organizations. The Board Connection Mapping agent surfaced a warm introduction path through a board member who had worked at the same technology firm 12 years ago.

What This Changes About How You Think About Donor Data

The development director who sees a donor profile as retention data is leaving half its value on the table.

Every piece of information about why a donor gives, what they give to, and how their engagement evolves over time is a description of the kind of institution or individual that will find that same work compelling. Donor profiles are not just tools for stewardship. They are search parameters for acquisition.

Sarah's Loyalty Was a Search Signal

Sarah's three years of engagement did not just tell you how to retain Sarah. It told you what kind of funder to look for next. The intelligence layer translated that information into three specific targets with deadlines, match scores, and introduction paths.

The development team that has been managing retention and acquisition as separate strategies has been leaving that translation undone. The data was always there. The intelligence layer that makes it useful for both purposes was what was missing.

What the Three New Funders Represent

The 47 day deadline on the MIT alumni foundation was the immediate priority. The LOI Drafter generated a draft calibrated to their stated priorities. Sarah's impact story, the tech executive who found your work compelling enough to give for three years, was the narrative anchor. The development director reviewed, refined, and submitted.

The technology company foundation was a 90 day cultivation target. An introduction was warm enough to open a conversation. The program officer knew the geographic expansion was new and was actively looking for aligned organizations.

The individual major donor was a 6 month relationship investment. The board member introduction was warm. The cultivation process started with a meeting. The ask came when the relationship was ready.

Three targets. Three different timelines. All surfaced from one donor profile.

The Timeline of Execution

Day 41

LOI Submitted to MIT Alumni Foundation

The AI LOI Drafter built the submission around Sarah's engagement story and the program outcomes that retained her. The program officer responded on day 58 to request additional program data.

Day 90

Cultivation Conversation With Tech Company Foundation

The development director reached out through a warm introduction surfaced by the Board Connection Mapping agent. The first meeting focused on the expanded geographic mandate and documented regional outcomes.

Month 8

Ask Made to Individual Major Donor

The board member introduction happened at a community event three months later. The cultivation conversation started with a shared interest in STEM education at the university level. The ask came at month eight.

Sarah Chen gave $2,500 last year. This year, her loyalty may have generated $350,000 in new funding opportunities. She does not know that. You did not have to ask her for anything. The intelligence layer made the connection that the two strategies, running separately, never would have.

What the Development Director Did With the Three Leads

The 47 day deadline on the MIT alumni foundation was the immediate priority. The development director reviewed the LOI draft the AI LOI Drafter had generated, calibrated to the foundation's specific language and grant history. Sarah's story, the tech executive who found the STEM workforce program compelling enough to give consistently for three years, was the opening narrative. The program outcomes that had retained Sarah were the same outcomes that demonstrated alignment with the foundation's stated priorities.

The LOI was submitted on day 41. The program officer responded on day 58 to request additional program data. The submission became a relationship.

The technology company foundation was a 90 day cultivation target. The development director reached out through a warm introduction the Board Connection Mapping agent had surfaced, a connection through a board member who had previously worked in the technology sector. The initial meeting focused on the company's expanded geographic mandate and the organization's documented outcomes in the newly eligible region. No ask in the first meeting. Just the alignment conversation.

The individual major donor was the longest play. The board member introduction was made at a community event three months later. The cultivation conversation started with a shared interest in STEM education at the university level. The ask came at month eight.

Three targets. Three timelines. One donor profile that found all of them.

Sarah Chen gave $2,500 last year. The intelligence loop generated a prospect pipeline that could produce more than $350,000 in new funding. She did not know she was doing any of it.

That is what the unified growth loop looks like when it runs. One loyal donor, one intelligence layer, three new funders. You didn't get into this work to leave donor intelligence underutilized. Aubree does what every tool before it only promised.

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Sarah Chen’s Loyalty Just Found You Three New Funders. Here Is How.